• 제목/요약/키워드: Superior individual

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치과위생사(치과종사자)의 코칭리더십이 동기부여적 자아개념, 직무만족, 삶의 질에 미치는 영향 (Influence that Coaching leadership of Dental Hygienist (Dental practitioners) affects in the Motivational self-concept, Job Satisfaction, Quality of lift)

  • 윤성욱
    • 디지털융복합연구
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    • 제16권2호
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    • pp.261-267
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    • 2018
  • 본 연구는 치과종사자들의 코칭리더십이 직무 만족도, 동기부여적 자아개념, 삶의 질에 미치는 영향을 조사하기 위해 대구,경북지역 205명의 치과위생사(간호조무사)를 조사하였다. 코칭리더십의 전체 평균은 5점 척도에서 2.67, 개발코칭 2.61, 관계코칭 2.61로 나타났다. '나의 상사는 나의 발전을 위한 연수교육 기회를 적극적으로 제공해 준다'가 2.50으로 가장 낮았다. 일반적 특징에 따른 코칭리더십은 20-25세, 경력 1-5년, 미혼, 수입 2000만원 이하, 직속상관은 여성, 직속상관 나이 20-30세, 직속상사 직위는 팀장, 선임치과위생사가 높았다(p<.05). 코칭리더십에 대한 직무만족도, 동기부여적 자아개념, 삶의 질이 양의 상관관계를 나타냈다(p<.05). 따라서 올바른 코칭리더십은 직무만족도를 높이고 개인의 발전을 높이기 위한 동기부여적 자아개념을 향상시켜 삶의 질도 높인다.

Selection of Superior Trees for Larger Fruit and High Productivity in Sorbus commixta Hedl.

  • Kim, Sea-Hyun;Jang, Yong-Seok;Chung, Hun-Gwan;Choi, Myoung-Sub;Kim, Sun-Chang
    • Plant Resources
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    • 제6권2호
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    • pp.120-128
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    • 2003
  • The objectives of this study, an analysis of the variation for leaf and fruit characteristics among the selected ten populations of Sorbus commixta Hedl. could be used for the conservation of gene resources and could provide information to superior trees selection. The results obtained from this study can be summarized as follows; Approximately, the Mt. Sungin population at Ulleung island showed larger values in overall characteristics and populations. On the other hand, Mt. Halla population at Jeju island showed the smaller values of the overall characteristics and populations. ANOV A tests showed that there were statistically significant differences in all leaf characteristics among the populations as well as individual trees within populations. But, for fruit characteristics, differences were statistically significant only among the populations. Cluster analysis using single linkage method based on leaf and fruit characteristics showed that ten selected populations of S. commixta in Korea could be clustered into three groups. Group I is Mt. Sungin at Ulleung island, Group II is Mt. Halla at Jeju island, and Group III comprises Osan, Mt. Kaji, Mt. Duckyoo, Mt. Balwang, Mt. Sobaek, Mt. O-dae, Mt. Jiri, and Mt. Taebaek. The selection level based on major agronomic traits, which are the Number of Fruit per Fruiting Lateral(NFL) over 50, and Fruit Length(FL) and Width(FW) over 10 mm, and Weight of 100 Fruit(WFI00) over 66 g, was applied on 100 sample trees, and five trees were selected. The selection effects from selected trees in NFL, FL, FW, and WF100 were evaluated as 132%, 151 %, 142%, and 264% compared to the mean of those 100 sample trees, respectively. Especially, Ulleung 2 showed excellent values that NFL and WFI00 were 95, and 69 g, respectively, suggesting a promising new cultivar for larger fruit and high productivity.

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OpenCV를 이용한 표현체 특성관리 시스템 구현 (Implementation of Phenotype Trait Management System using OpenCV)

  • 최승호;박건하;양오석;이창우;김영욱;이은경;백정호;김경환;이홍로
    • 한국산업정보학회논문지
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    • 제25권6호
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    • pp.25-32
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    • 2020
  • 농업에서 가장 기본이 되는 종자는 생산과 효율을 높이는 중요한 요소다. 우수한 유전자를 가진 종자를 통해 농업의 생산성 향상을 기대할 수 있고, 작물의 생존 및 번식을 증진시킬 수 있다. 하지만 현재 우수한 종자의 선별은 대부분이 수작업에 의존하고 있기 때문에 많은 시간과 인력을 요구한다. 제안된 연구에서는 종자의 표현체 특성을 추출하기 위해 컴퓨터 영상처리기술을 이용하여 적은 인력과 비교적 짧은 시간으로 종자의 특징을 추출할 수 있는 시스템을 제안한다. 제안된 시스템은 다량의 종자가 포함된 영상으로부터 개별 종자를 검출하고, 검출된 개별 종자마다 대표색상, 면적, 둘레, 진원도 (Roundness)와 같은 다양한 특징을 추출하고 저장한다. 입력 영상의 규칙성 때문에 제안된 시스템의 개별 종자추출의 정확도는 콩 종자의 경우 99.12%, 벼 종자의 경우 99.76%이다. 추출된 데이터는 향후 전문가의 의견을 반영한 각종 데이터 분석을 위한 기초자료로 활용되며 종자별 표현형 특성을 결정하는 기초자료로 사용될 것이다.

New Finger-vein Recognition Method Based on Image Quality Assessment

  • Nguyen, Dat Tien;Park, Young Ho;Shin, Kwang Yong;Park, Kang Ryoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권2호
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    • pp.347-365
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    • 2013
  • The performance of finger-vein recognition methods is limited by camera optical defocusing, the light-scattering effect of skin, and individual variations in the skin depth, density, and thickness of vascular patterns. Consequently, all of these factors may affect the image quality, but few studies have conducted quality assessments of finger-vein images. Therefore, we developed a new finger-vein recognition method based on image quality assessment. This research is novel compared with previous methods in four respects. First, the vertical cross-sectional profiles are extracted to detect the approximate positions of vein regions in a given finger-vein image. Second, the accurate positions of the vein regions are detected by checking the depth of the vein's profile using various depth thresholds. Third, the quality of the finger-vein image is measured by using the number of detected vein points in relation to the depth thresholds, which allows individual variations of vein density to be considered for quality assessment. Fourth, by assessing the quality of input finger-vein images, inferior-quality images are not used for recognition, thereby enhancing the accuracy of finger-vein recognition. Experiments confirmed that the performance of finger-vein recognition systems that incorporated the proposed quality assessment method was superior to that of previous methods.

Hybrid fuzzy model to predict strength and optimum compositions of natural Alumina-Silica-based geopolymers

  • Nadiri, Ata Allah;Asadi, Somayeh;Babaizadeh, Hamed;Naderi, Keivan
    • Computers and Concrete
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    • 제21권1호
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    • pp.103-110
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    • 2018
  • This study introduces the supervised committee fuzzy model as a hybrid fuzzy model to predict compressive strength (CS) of geopolymers prepared from alumina-silica products. For this purpose, more than 50 experimental data that evaluated the effect of $Al_2O_3/SiO_2$, $Na_2O/Al_2O_3$, $Na_2O/H_2O$ and Na/[Na+K] on (CS) of geopolymers were collected from the literature. Then, three different Fuzzy Logic (FL) models (Sugeno fuzzy logic (SFL), Mamdani fuzzy logic (MFL), and Larsen fuzzy logic (LFL)) were adopted to overcome the inherent uncertainty of geochemical parameters and to predict CS. After validating the model, it was found that the SFL model is superior to MFL and LFL models, but each of the FL models has advantages to predict CS. Therefore, to achieve the optimal performance, the supervised committee fuzzy logic (SCFL) model was developed as a hybrid method to combine the benefits of individual FL models. The SCFL employs an artificial neural network (ANN) model to re-predict the CS of three FL model predictions. The results also show significant fitting improvement in comparison with individual FL models.

영국 과학단지의 특성과 기업연계 (Characteristics and Industrial Linkage of Science Parks : A Case Study of the United Kingdom)

  • 조혜영
    • 지역연구
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    • 제15권1호
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    • pp.45-61
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    • 1999
  • A rapid growth of science parks worldwide since 1980s is caused by both the widespread perception that technological innovation is the essential element for the economic development and the notified cases of successful high technology cluster like Silicon Valley. Analyzed in terms of R & D employment and expenditure, new product launches, patent registration, qualifications of the founder, self-rated technological level and the like, the technological level of the science parks in the U.K. reveals very high. While nealy half of the firms on the science parks are represented to be formally linked with universities, the use of the library is referred most frequently among the types of the linkages. R & D links such as contract research, sponsored research, test and analysis were rarely mentioned. Summing up, science parks play an important role for the development of high-tech industries with superior technological characteristics. But in reatlity, there remains so much difference among the individual parks and their location. In addition the individual parks and their location. In addition, institutionalization of the technology transfer with univeristies that only when the science parks are based on the innovative environment they can be successful in the capability of the technological innovation.

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기업 내 e-learning 학습 환경에서 학습양식, 튜터기능, 학습성취도의 상관관계 (Interrelation among Learning Style, Tutoring Function, and Learning Achievement in an Enterprise e-learning Environment)

  • 유규식;최인준;한성년
    • 산업공학
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    • 제19권4호
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    • pp.324-332
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    • 2006
  • It is believed that each learner has a preferred method to acquire and manage knowledge according to her/his learning style which influences learning achievement directly. The purpose of this paper is to statistically analyze relationships among individual learning styles, tutoring functions, and learning achievement in an e-learning environment. 524 survey results from participants of enterprise e-learning classes are classified into total group and superior group. T-Test and ANOVA analyses are carried between learning style and learning achievement and between learning style and preferred tutoring functions. The analysis results show that individual learning styles do not contribute to learning achievement while they are strongly related to preferences for some of tutoring functions. These results can be used to identify limitation of current e-learning practice and design better e-learning systems, especially, supporting appropriate tutoring functions for different types of learners.

자기재/폴리머 계면이 하이브리드 애자의 미세구조, 절연특성과 전계분포에 미치는 영향 (Effect of Porcelain/Polymer Interface on the Microstructure, Insulation Characteristics and Electrical Field Distribution of Hybrid Insulators)

  • 조준영;김우석;안호성;안희성;김태완;임윤석;배성환;박찬
    • 한국전기전자재료학회논문지
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    • 제30권9호
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    • pp.558-565
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    • 2017
  • Hybrid insulators that have the advantages of both porcelain (high mechanical strength and chemical stability) as well as polymer (light weight and high resistance to pollution) insulators, can be used in place of individual porcelain and polymer insulators that are used for both mechanical support as well as electrical insulation of overhead power transmission lines. The most significant feature of hybrid insulators is the presence of porcelain/polymer interfaces where the porcelain and polymer are physically bonded. Individual porcelain and polymer insulators do not have such porcelain/polymer interfaces. Although the interface is expected to affect the mechanical/electrical properties of the hybrid insulator, systematic studies of the adhesion properties at the porcelain/polymer interface and the effect of the interface on the insulation characteristics and electric field distribution of the hybrid insulator have not been reported. In this study, we fabricated small hybrid insulator specimens with various types of interfaces and investigated the effect of the porcelain/polymer interface on the microstructure, insulating characteristics, and electric field distribution of the hybrid insulators. It was observed that the porcelain/polymer interface of the hybrid insulator does not have a significant effect on the insulating characteristics and electric field distribution, and the hybrid insulator can exhibit electrical insulating properties that are similar or superior to those of individual porcelain and polymer insulators.

새 연대순 도서기호법의 연구 (A Study of New Chronological Book Numbers)

  • 리재철
    • 한국문헌정보학회지
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    • 제12권
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    • pp.7-37
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    • 1985
  • In most of the modern libraries throughout the world, it is popular to adopt the author number which arranges the books or entries in alphabetical order of their author's names within the same ultimate class. However, viewed historically, that was the Western practice never used in the East before. Traditionally chronological order was followed in the East. Book number not only individualizes the books within the same class but also makes it easy for the user to choose and find out the relevant materials. In this respect, chronological book number is decidedly superior to all kinds of book number systems ever have been existed. Especially in these days of rapid obsolescence of documents and with serious problems of storage of documents, the chronological order seems to be the most modern and future-oriented of all other book number systems because it distinguishes clearly new materials from aged materials by the date of publication and controls the stack spaces mechanically and effectively. This writer devised New Chronological Book Numbers adaptable to both the Eastern and Western materials, and the system has been adopted at Yonsei University Library. The features of the system are as follows: (1) It is easy to type the call number in cataloging the Eastern and Western materials. That is because the structure of the chronological number is pure numerical notation by taking the last two figures of the year within twentieth century(e.g. 85 for AD 1985), that is 1900s, and the last three figures of the year from twenty-first century to thirtieth century, that is 2000s. (2) It does not make all classes have chronological number uniformly. Within the classes for individual biographies, genealogies and collections of biography of specific family, books about individual organization, individual literary and artistic works, philosophical works of the famous philosophers, books and its facsmile editions published before 1900, new editions, translations, commentaries, serials, chronological number is assigned to the author number as in the past. (3) It separates the Eastern materials from the Western materials and makes the typing easy in cataloging. That is because the subarrangement within the same chronological book number is made by the accession order which uses 'panjol-ponmun' or the characters of basic syllabic table of Korean alphabet in case of the Eastern materials and Roman alphabet in case of the Western materials.

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Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration

  • Yoo, Hyun;Chung, Kyungyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권9호
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    • pp.3730-3744
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    • 2020
  • This study proposes a deep learning-based evolutionary recommendation model for heterogeneous big data integration, for which collaborative filtering and a neural-network algorithm are employed. The proposed model is used to apply an individual's importance or sensory level to formulate a recommendation using the decision-making feedback. The evolutionary recommendation model is based on the Deep Neural Network (DNN), which is useful for analyzing and evaluating the feedback data among various neural-network algorithms, and the DNN is combined with collaborative filtering. The designed model is used to extract health information from data collected by the Korea National Health and Nutrition Examination Survey, and the collaborative filtering-based recommendation model was compared with the deep learning-based evolutionary recommendation model to evaluate its performance. The RMSE is used to evaluate the performance of the proposed model. According to the comparative analysis, the accuracy of the deep learning-based evolutionary recommendation model is superior to that of the collaborative filtering-based recommendation model.