• Title/Summary/Keyword: Selection of Variety

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The Selection Alisma plantago Varieties Suitable for the Southern Part of Korea (남부 지역에 적응한 택사의 품종선발)

  • 권병선;현규환
    • Korean Journal of Plant Resources
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    • v.14 no.3
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    • pp.183-187
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    • 2001
  • In order to obtain basic information for breeding varieties of Alisma plantago which is suitable for the southern part of Korea, nine local varieties were grown and yield components of plant were observed from Jun. 1999 to Dec. 1999 at farm field of Chonnam Sunchon Korea. Alisma plantago cv. Sunwol showed higher dry root yield than the other varieties used in the experiment. It showed relatively higher length of plant height and lower numbers of floral axis. Therefore, it was concluded that Sunwol was the most suitable variety with high yield and low floral axis at the southern part of Korea. The heritabilities of all observed characters were estimated to be large. Dry root yield was shown highly significant positive correlations with plant height and numbers of leaves. Dry root yield, plant height and numbers of leaves were shown negative correlation with number of floral axis and nursery leaves.

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Path Selection Strategies and Individual Differences in a Navigation Task (어디에 표지판을 세울 것인가? 길 안내 과제를 통한 개인의 공간인식 및 문제해결에 대한 연구)

  • Lee, Jong-Won;Harm, Kyung-Rim;Yoon, Sae-Ra;Baek, Young-Sun
    • Journal of the Korean Geographical Society
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    • v.45 no.1
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    • pp.144-164
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    • 2010
  • This study aims to reveal path selection strategies and individual differences in a navigation task. Two experiments were presented that studied human route planning performance as well as the cognitive strategies and processes involved. For the outdoor task, university students were asked to select a route based on the instruction, i.e. to find the best route from the campus main gate to the Education Building for conference visitors by locating eight signposts. Results indicate (1) that locations of signposts were selected preferably at decision points where the traveler needs to make a choice and starting/ending points of the navigation task and (2) a variety of route planning strategies considering efficiency goal (e.g., the shortest path), environmental characteristics (e.g., fewest turns), and aesthetic purpose (e.g., most scenic) were used. It is notable that some participants took into account more than one path by locating one or two signposts on an alternative route while others preferred a linear route connecting signposts between the start point and the destination. Prior to the main experiment, the same participants were asked to complete the same task inside the classroom to investigate changes in strategies between two tasks. Participants often tend to place signposts at more regular intervals for the indoor navigation task than the same task conducted outside.

The Effect of Self-Choice Reading on Reading Interest in Elementary School Students: Focusing on Book Selection Class in A Elementary School (초등학생의 자기 선택적 독서가 독서흥미에 미치는 영향 - A초등학교 도서선택 수업을 중심으로 -)

  • Park, Kyung-Heui;Jho, Ara;Lee, Myounggyu
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.253-274
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    • 2021
  • With the introduction of 'Reading One Book a Semester' in the 2015 curriculum, more and more activities are being done to read the same books on a classroom basis. Accordingly, librarians need to properly support the teacher's book recommendation and book selection process, which consists of classes. This study aims to establish effective school library services based on this by identifying differences in elementary school students' reading interests when reading a book recommended by a teacher in the class. To this end, all students of A Elementary School were given a book selection class by class to select one of the teacher's recommended books, and students were interested in reading before and after reading. As a result, students who read the books they chose showed higher 'interest after reading' than those who read the books they did not choose. However, students who had high 'interest before reading' even though they read books they did not choose showed high 'interest after reading'. 'Interest before reading' were higher for students who were provided with book information evenly and used the school library more frequently. Therefore, librarians need to provide a variety of book information and services to increase the frequency of school library use to increase 'interest before reading', which positively affects self-selective reading.

A Study of Magnetic Fluid Seals for Blood Sealing

  • Tomioka, Jun;Fukaishi, Akira;Ohba, Takashi
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2002.10b
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    • pp.373-374
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    • 2002
  • Magnetic fluid seals are used in a wide variety of gas and dust sealing applications. However, it is difficult to seal for liquid because of its characteristic. This study will be a basic guide for a magnetic fluid seal for liquid, especially for blood to be practically used in medical instruments such as rotary blood pumps by clarifying its seal properties. Sealing pressure test, durability test, and hemolysis test have been conducted for this seal. In this study, magnetic fluid, sealing fluid, eccentricity ratio, revolution speed were selected as parameters. As results of the tests, it has been found that the properties of magnetic fluid seal depend on the solvent and the saturation magnetization of magnetic fluid. Therefore, the selection of magnetic fluid is important for this seal. It also has been found that eccentricity ratio of the shaft caused harmful effect for seal properties. In conclusion, it has been showed that magnetic fluid seals could be possibly used in medical instruments such as blood pumps when blood come in contact with magnetic fluids.

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A Novel Data Prediction Model using Data Weights and Neural Network based on R for Meaning Analysis between Data (데이터간 의미 분석을 위한 R기반의 데이터 가중치 및 신경망기반의 데이터 예측 모형에 관한 연구)

  • Jung, Se Hoon;Kim, Jong Chan;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.18 no.4
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    • pp.524-532
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    • 2015
  • All data created in BigData times is included potentially meaning and correlation in data. A variety of data during a day in all society sectors has become created and stored. Research areas in analysis and grasp meaning between data is proceeding briskly. Especially, accuracy of meaning prediction and data imbalance problem between data for analysis is part in course of something important in data analysis field. In this paper, we proposed data prediction model based on data weights and neural network using R for meaning analysis between data. Proposed data prediction model is composed of classification model and analysis model. Classification model is working as weights application of normal distribution and optimum independent variable selection of multiple regression analysis. Analysis model role is increased prediction accuracy of output variable through neural network. Performance evaluation result, we were confirmed superiority of prediction model so that performance of result prediction through primitive data was measured 87.475% by proposed data prediction model.

The Study on the Wafer Surface and Pad Characteristic for Optimal Condition in Wafer Final Polishing (최적조건 선정을 위한 Pad 특성과 Wafer Final Polishing의 가공표면에 관한 연구)

  • Won, Jong-Koo;Lee, Eun-Sang;Lee, Sang-Gyun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.1
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    • pp.26-32
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    • 2012
  • Polishing is one of the important methods in manufacturing of Si wafers and in thinning of completed device wafers. This study will report the characteristic of wafer according to processing time, machining speed and pressure which have major influence on the abrasion of Si wafer polishing. It is possible to evaluation of wafer abrasion by load cell and infrared temperature sensor. The characteristic of wafer surface according to processing condition is selected to use a result data that measure a pressure, machining speed, and the processing time. This result is appeared by the characteristic of wafer surface in machining condition. Through that, the study cans evaluation a wafer characteristic in variable machining condition. It is important to obtain optimal condition. Thus the optimum condition selection of ultra precision Si wafer polishing using load cell and infrared temperature sensor. To evaluate each machining factor, use a data through each sensor. That evaluation of abrasion according to variety condition is selected to use a result data that measure a pressure, machining speed, and the processing time. And optimum condition is selected by this result.

Case Study : Development of Customer Support Center Staffing Model (고객지원 센터의 최적 인력 일정계획 수립 모델 개발에 대한 사례연구)

  • Yu, Woo-Yeon;Kim, Hee-Dong;Yang, Jaek-Yung
    • IE interfaces
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    • v.18 no.3
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    • pp.317-326
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    • 2005
  • Staff scheduling is an important area, both from an academic and industrial point of view. It has become increasingly important as business becomes more service oriented and cost conscious in a global environment. There has been a lot of study to develop new and efficient staff scheduling models and methods. The purpose of this paper is not to develop new theoretical results but to develop a comprehensive user-friendly staffing model that can be applied to the real-world practice. The developed staffing software, OptStaff, provides the optimal configuration of the customer support center including the selection of customer support center locations, the allocation of staffs to each selected location, and schedules of staffs, so as to minimize the total cost while maximizing the customer satisfaction level. OptStaff also has capability to do scenario analysis by varying the levels of parameters and to create a variety of graphs and reports with user-friendly interfaces.

Alstroemeria plants and its biotechnological applications

  • Lim, Sung-Soo;Lee, Sang-Il;Kang, Se-Chan;Kim, Jong-Bo
    • Journal of Plant Biotechnology
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    • v.39 no.4
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    • pp.219-224
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    • 2012
  • Alstroemeria plants are widely cultivated in many countries especially in Western Europe and North America and popularity has increased in recently due to its long-base life, large variety of colors and low energy requirement during cultivation period. So far, more than 60 species have been released on the commercial market in the world. To meet the demand of consumer and develop the elite Alstroemeria cultivars, conventional breeding including cross-hybridization and selection as well as mutation breeding were used. However, as other important ornamental plants such as lily, rose, carnation and orchids accepted the biotechnological methods, this newly-born approach should be applied and developed an optimized the genetic transformation system. Then, this biotechnological approach can be fused with the conventional breeding methods and thus can be contributed to the production of elite Alstroemeria plants containing agriculturally good genetic traits which are useful for the both farmers and consumers in the future. In this paper, we reviewed the botanical and genetical features of Alstroemeria plants and its biotechnological approaches in the last decades.

Relationship Among h Value, Membership Function, and Spread in Fuzzy Linear Regression using Shape-preserving Operations

  • Hong, Dug-Hun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.4
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    • pp.306-311
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    • 2008
  • Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

Transformation of a Filamentous Fungus Cryphonectria parasitica Using Agrobacterium tumefaciens

  • Park, Seung-Moon;Kim, Dae-Hyuk
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.9 no.3
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    • pp.217-222
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    • 2004
  • As Agrobacterium tumefaciens, which has long been used to transform plants, is known to transfer T-DNA to budding yeast, Saccharomyces cerevisiae, a variety of fungi were subjected to the A. tumefaciens-mediated transformation to improve their transformation frequency and feasibility. The A. tumefaciens-mediated transformation of chestnut blight fungus, Cryphonectria parasitica, is performed in this study as the first example of transformation of a hardwood fungal pathogen. The transfer of the binary vector pBIN9-Hg, containing the bacterial hygromycin B phosphotransferase gene under the control of the Aspergillus nidulans trpC promoter and terminator, as a selectable marker, led to the selection of more than 1,000 stable, hygromycin B-resistant transformants per 1${\times}$10$\^$6/ conidia of C. parasitica. The putative transformants appeared to be mitotically stable. The transformation efficiency appears to depend on the bacterial strain, age of the bacteria cell culture and ratio of fungal spores to bacterial cells. PCR and Southern blot analysis indicated that the marker gene was inserted at different chromosomal sites. Moreover, three transformants out of ten showed more than two hybridizing bands, suggesting more than two copies of the inserted marker gene are not uncommon.