• 제목/요약/키워드: Question generation

검색결과 150건 처리시간 0.028초

PCB 구조적 설계에 따른 LED Module의 열적 광학적 특성 (Optical, Thermal property by Applied PCB Structure design)

  • 이승민;이성진;최기승;이종찬;박대희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 C
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    • pp.1735-1736
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    • 2006
  • As developing the information society, Lighting Emitted diode(LED) which is light source for illumination of next generation is attracted public attention. LED have many problem as narrow light view angle, high price, drift phenomenon of color coordinate, high heating problem for lower power, lower weight and small size. So, many researches have continued in a illumination as LED module type. in this problem, heating problem is very important and difficult and that is caused in decreasing phenomenon of brightness and drift phenomenon of color coordinate. so the problem of heating is urgent question for illumination of LED. In this paper, structural design of PCB changed as two type for solving the heating problem. also the properties of heating is analysed and optical properties is measured with heating image camera and spectrometer according to change in this design.

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The Influence of Competitive Advantage on Financial Performance: A Case Study of SMEs in Vietnam

  • NGUYEN, Hoan;TRAN, Thi Hoang Mai;NGUYEN, Thi Hai Yen;TRUONG, Duc Dinh
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.335-343
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    • 2021
  • Profit generation is one of the main goals of small- and medium-sized enterprises (SMEs). SMEs have deployed a number of solutions to increase profits, including solutions to improve their financial advantage. The question is how to help SMEs make better and more effective decisions to improve their competitive advantage in order to improve their financial performance. The aim of this research is to examine the impact of competitive advantage on financial performance in small- and medium-sized enterprises (SMEs) in Hanoi. A survey of 120 accountants, sales staff and boards of directors of SMEs was conducted to collect data. Through quantity methodology, we used Cronbach's Alpha, EFA and correlation analysis to determine the relationship between competitive advantage and dependent variable - financial performance. The results showed that the competitive advantage had a positive relationship with financial performance. There is not, statistically, significant difference in the level of financial performance in SMEs in Hanoi in terms of genders and between the mentioned three groups of job descriptions. From the findings, this study suggests several recommendations to improve financial performance such as increase sales and increase profits. The results are considered as a useful reference for establishing policies to attract customers toward sustainable development of firms.

4차 산업혁명에 따른 교육 변화에 대한 교원의 인식 분석 (An Analysis of Teachers' Perceptions of Educational Change in the Fourth Industrial Revolution)

  • 이영주;김영민
    • 공학교육연구
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    • 제22권3호
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    • pp.11-17
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    • 2019
  • With technology rapidly changing our economic, cultural and social realities, the question of how to educate the generation for the fourth industrial revolution has been a pressing issue. The purpose of this study is to review teachers' perception regarding the educational change in the fourth industrial revolution. For this purpose, we surveyed 420 school teachers and administrators. Most teachers highly understand The Fourth Industrial Revolution and they think AI(Artificial Intelligence) is a core technology. They recognize The Fourth Industrial Revolution is very important and great influence in the education field. For this, they need educational innovation in the education field. Elementary school teacher perceive understanding Elementary school teachers think that understand The Fourth Industrial Revolution and change of curriculum is highly important. And, Secondary school teachers perceive that the change of education system and class is very necessary. Lastly, STEAM education is the most appropriate to prepare for a changing society.

Leadership as a Driver of Employees' Innovation Performance: The Mediating Effect of Cultural Diversity in UAE Universities

  • ALMASKARI, Tariq Humaid;MOHAMAD, Effendi;YAHAYA, Siti Norbaya;JALIL, Muhammad Farhan
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.271-285
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    • 2021
  • The aim of this research was to look into the relationship between leadership; transformational leadership, transactional leadership, and employee innovation, as well as the mediating impact of cultural diversity between leadership and employee innovation. Structured questionnaire was used to collect the data from 633 public and private universities' employees in the United Arab Emirates (UAE) with the help of the stratified sampling technique, and hypothesis verified through structural equations modelling (AMOS-21). Findings of the study shows that leadership has positive impact on employee innovation and cultural diversity partially mediates the relationship between leadership and innovative performance of UAE universities' employees. Practical implication of the study is to understand how universities can enhance their employees' innovation which is crucial for their competitiveness and survival. Moreover, the increasing prevalence of cultural diversity, as work arrangements in universities, raises the question of how to successfully manage employees. Although few studies have looked into how transformational and transactional leadership styles affect employees' innovation performance, this study expands on the topic by concentrating on sub-dimensions of leadership that foster innovation through idea generation and execution at the United Arab Emirates universities. This study offers valuable insights for educational leaders and throws light on the main characteristics of leadership which helps the employees to perform better in terms of innovation.

MORE RELATIONS BETWEEN λ-LABELING AND HAMILTONIAN PATHS WITH EMPHASIS ON LINE GRAPH OF BIPARTITE MULTIGRAPHS

  • Zaker, Manouchehr
    • 대한수학회보
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    • 제59권1호
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    • pp.119-139
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    • 2022
  • This paper deals with the λ-labeling and L(2, 1)-coloring of simple graphs. A λ-labeling of a graph G is any labeling of the vertices of G with different labels such that any two adjacent vertices receive labels which differ at least two. Also an L(2, 1)-coloring of G is any labeling of the vertices of G such that any two adjacent vertices receive labels which differ at least two and any two vertices with distance two receive distinct labels. Assume that a partial λ-labeling f is given in a graph G. A general question is whether f can be extended to a λ-labeling of G. We show that the extension is feasible if and only if a Hamiltonian path consistent with some distance constraints exists in the complement of G. Then we consider line graph of bipartite multigraphs and determine the minimum number of labels in L(2, 1)-coloring and λ-labeling of these graphs. In fact we obtain easily computable formulas for the path covering number and the maximum path of the complement of these graphs. We obtain a polynomial time algorithm which generates all Hamiltonian paths in the related graphs. A special case is the Cartesian product graph Kn☐Kn and the generation of λ-squares.

Towards Improving Causality Mining using BERT with Multi-level Feature Networks

  • Ali, Wajid;Zuo, Wanli;Ali, Rahman;Rahman, Gohar;Zuo, Xianglin;Ullah, Inam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권10호
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    • pp.3230-3255
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    • 2022
  • Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.

Flow solutions around rectangular cylinders: The question of spatial discretization

  • Corsini, Roberto;Angeli, Diego;Stalio, Enrico;Chibbaro, Sergio;Cimarelli, Andrea
    • Wind and Structures
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    • 제34권1호
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    • pp.151-159
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    • 2022
  • The aerodynamics of blunt bodies with separation at the sharp corner of the leading edge and reattachment on the body side are particularly important in civil engineering applications. In recent years, a number of experimental and numerical studies have become available on the aerodynamics of a rectangular cylinder with chord-to-thickness ratio equal to 5 (BARC). Despite the interest in the topic, a widely accepted set of guidelines for grid generation about these blunt bodies is still missing. In this work a new, well resolved Direct Numerical Simulation (DNS) around the BARC body at Re=3000 is presented and its results compared to previous DNSs of the same case but with different numerical approaches and mesh. Despite the simulations use different numerical approaches, mesh and domain dimensions, the main discrepancies are ascribed to the different grid spacings employed. While a more rigorous analysis is envisaged, where the order of accuracy of the schemes are kept the same while grid spacings are varied alternately along each spatial direction, this represents a first attempt in the study of the influence of spatial resolution in the Direct Numerical Simulation of flows around elongated rectangular cylinders with sharp corners.

추가 데이터 및 도메인 적응을 위한 기계독해 질의 생성 (Question Generation of Machine Reading Comprehension for Data Augmentation and Domain Adaptation)

  • 이현구;장영진;김진태;왕지현;신동훈;김학수
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2019년도 제31회 한글 및 한국어 정보처리 학술대회
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    • pp.415-418
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    • 2019
  • 기계독해 모델에 새로운 도메인을 적용하기 위해서는 도메인에 맞는 데이터가 필요하다. 그러나 추가 데이터 구축은 많은 비용이 발생한다. 사람이 직접 구축한 데이터 없이 적용하기 위해서는 자동 추가 데이터 확보, 도메인 적응의 문제를 해결해야한다. 추가 데이터 확보의 경우 번역, 질의 생성의 방법으로 연구가 진행되었다. 그러나 도메인 적응을 위해서는 새로운 정답 유형에 대한 질의가 필요하며 이를 위해서는 정답 후보 추출, 추출된 정답 후보로 질의를 생성해야한다. 본 논문에서는 이러한 문제를 해결하기 위해 듀얼 포인터 네트워크 기반 정답 후보 추출 모델로 정답 후보를 추출하고, 포인터 제너레이터 기반 질의 생성 모델로 새로운 데이터를 생성하는 방법을 제안한다. 실험 결과 추가 데이터 확보의 경우 KorQuAD, 경제, 금융 도메인의 데이터에서 모두 성능 향상을 보였으며, 도메인 적응 실험에서도 새로운 도메인의 문맥만을 이용해 데이터를 생성했을 때 기존 도메인과 다른 도메인에서 모두 기계독해 성능 향상을 보였다.

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이 러닝의 질적 향상 방안에 대한 연구 (A Study on e-Learning Quality Improvement)

  • 조은순
    • 한국콘텐츠학회논문지
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    • 제5권5호
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    • pp.316-324
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    • 2005
  • 우리나라의 이 러닝은 그동안 양적으로 팽창한 만큼 질적인 부분에 대한 의구심이 팽배해지고 있는 것이 사실이다. 현재 시점에서 이 러닝의 질적 수준을 분석해야 하는 이유는 그 동안 급속도로 발전된 이 러닝이 학습자들에게 훌륭한 학습경험을 주지 못하였고, 생각보다 결과가 저조하였으며, 무엇보다 투자된 비용에 비해 효과성이 저조하였다는 지적이 많기 때문이다. 지난 몇 년 동안 이 러닝에서의 학습경험은 오랜 세월 익숙해왔던 오프라인수업을 중심으로 구성되어 왔으며, 이 러닝에 종사하는 많은 전문가들도 대부분 오프라인에서의 교수-학습에 대한 경험을 바탕으로 이 러닝의 체제를 이해하여 왔다. Dublin&Cross에 의하면 과연 얼마나 많은 사람들이 이 러닝에 대한 공통된 개념을 가지고 있으며, 학습자들이 단지 문제없이 이 러닝에 접속하여 끝까지 기술적인 문제없이 도달하는데서 끝나지 않고 얼마나 효과적이고 효율적으로 이 러닝이 의도한 학습과정에 흡수되는 가를 분석해 낼 수 있는가에 따라 이 러닝의 성공여부가 달려 있다고 한다 [12]. 본 논문은 이 러닝의 확산속도에 맞추어 질적 향상이 쉽게 이루어지지 않는 이 러닝의 현상을 심층 분석해보고 이 러닝의 질적 향상을 위하여 고려해야 하는 요소들은 무엇이 있으며 이들이 어떻게 조화를 이루어야 이 러닝이 질적으로 우수성을 가질 수 있는지에 대한 방안을 제시해 보고자 한다.

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KHistory: 한국사 객관식 문제 자동 생성 시스템 (KHistory: A System for Automatic Generation of Multiple Choice Questions on the History of Korea)

  • 김성원;정해성;진재환;이명준
    • 예술인문사회 융합 멀티미디어 논문지
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    • 제7권1호
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    • pp.253-263
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    • 2017
  • 최근 한국사에 필요성이 증대하고 사람들의 관심이 높아지면서, 한국사 학습을 위한 다양한 어플리케이션들이 등장하고 있다. 이러한 기존의 한국사 학습 어플리케이션은 문제은행 방식으로 사용자들에게 객관식 문제를 제공한다. 하지만 문제은행 방식은 미리 저장된 문제를 가져와 사용함으로써 계속 사용할 경우 중복되는 문제로 인하여 필연적으로 학습효율이 떨어지게 된다. 본 논문에서는 한국사 데이터베이스를 기반으로 한국사 학습문제를 자동적으로 생성하는 시스템인 K-History의 개발과 이를 활용한 한국사 학습 어플리케이션인 한국사 무한도전의 개발에 대하여 기술한다. K-History의 개발을 위하여 한국사 학습 교재를 바탕으로 다양한 한국사 학습 문제를 분석하여 학습문제의 대표 유형을 분류하고, 발견된 유형에 따라 문제를 생성하는 알고리즘을 제안한다. 개발된 한국사 학습문제 생성 기법은 다양한 학습 시스템에 적용되어 문제 생성을 위한 비용을 줄일 수 있으며, 다양하게 생성된 학습문제를 통하여 학습자의 학습효율을 높일 수 있을 것으로 기대된다.