• 제목/요약/키워드: combining ability

검색결과 376건 처리시간 0.021초

The Syntheses of 3-Substituted 4-(Pyridin-2-ylthio)indoles via Leimgruber-Batcho Indole Synthesis

  • Srisook, Ekaruth;Chi, Dae-Yoon
    • Bulletin of the Korean Chemical Society
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    • 제25권6호
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    • pp.895-899
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    • 2004
  • We have designed a new family of radioligands, 3-(amino- and hydroxymethyl)-4-(5-iodopyridin-2-ylthio)indoles, combining characteristically distinct moieties proven to impart successful binding ability in a variety of structurally diverse selective serotonin reuptake inhibitors recently published. Described in this article are the syntheses of 3-substituted 4-(5-iodopyridin-2-ylthio)-indoles, featuring successful adaptation of the modified Leimgruber-Batcho indole synthesis onto the key intermediate 1-(5-iodopyridin-2-ylthio)-2-methyl-3-nitrobenzene (6) prepared from the nucleophilic aromatic substitution of chloropyridine 7 with thiophenol 8.

Compression field modeling of confined concrete

  • Montoya, E.;Vecchio, F.J.;Sheikh, S.A.
    • Structural Engineering and Mechanics
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    • 제12권3호
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    • pp.231-248
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    • 2001
  • The three-dimensional behavior of confined concrete was investigated, including strength enhancement due to triaxial compressive stresses, lateral expansion, compression softening, cover spalling and post-peak ductility. A finite element program based on a nonlinear elasticity methodology was employed to evaluate the ability to model triaxial behavior of reinforced concrete (RC) by combining constitutive models proposed by several researchers. The capability of compression field based models to reproduce the softening behavior of lightly cracked confined concrete was also investigated. Data from tested specimens were used to evaluate the validity of the formulations. Good agreement with the experimental results was obtained.

유아를 위한 문해 교수법의 효과 비교: 균형잡힌 문해 교수법과 발음중심 교수법을 중심으로 (Effects of Literacy Instruction Methods for Young Children : On Balanced Literacy Instruction and Phonics Instruction)

  • 엄윤재;박혜경
    • 아동학회지
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    • 제25권6호
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    • pp.259-277
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    • 2004
  • The effects of two literacy programs, Balanced Literacy Instruction(BLI) and Phonics Instruction were studied in 40 three- and four-year old children. BLIwas created to compensate for the limits of the Whole Language Approach(WLA) and of Phonics Instruction(PI). The WLA focuses on writing and communication but lacks concrete instruction methods and overlooks technical aspects of reading and writing. On the contrary, PI is logical, stressing phonemic recognition, skill in distinguishing words, and the rules of consonants and vowels. By combining the best of both PI and WLA to create BLI, this study showed that children who received BLI significantly improved their ability of phoneme recognition, reading, writing and understanding of the content of a book, letting us conclude that BLI is the more effective method for teaching literacy.

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치의학 분야에서의 메타 분석 (Meta-analysis in dental research)

  • 임회정
    • 대한치과의사협회지
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    • 제52권8호
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    • pp.478-490
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    • 2014
  • Recently, importance of meta-analysis is increasing in the field of dentistry, since it is not easy to settle controversies arising from conflicting studies. Meta-analysis is the statistical method of combining results from two or more individual studies that have been done on the same topic. Merits of meta-analysis include an increase in power, an improvement in precision, and the ability to address solution not provided by individual studies. However, it might mislead researchers when variation across studies and publication bias are not carefully taken into consideration. The purpose of this study is to help understand meta-analysis by making use of individual results in dental research paper.

성긴임펄스 응답 시스템을 위한 부밴드 IPNLMS 적응필터 (Subband IPNLMS Adaptive Filter for Sparse Impulse Response Systems)

  • 손상욱;최훈;배현덕
    • 전기학회논문지
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    • 제60권2호
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    • pp.423-430
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    • 2011
  • In adaptive filtering, the sparseness of impulse response and input signal characteristics are very important factors of it's performance. This paper presents a subband improved proportionate normalized least square (SIPNLMS) algorithm which combines IPNLMS for impulse response sparseness and subband filtering for prewhitening the input signal. As drawing and combining the advantage of conventional approaches, the proposed algorithm, for impulse responses exhibiting high sparseness, achieve improved convergence speed and tracking ability. Simulation results, using colored signal(AR(4)) and speech input signals, show improved performance compared to fullband structure of existing methods.

캡스톤 디자인 수업에서 개인 능력을 반영하는 공정한 평가 방법 (Fair Assessment Method Reflecting Individual Ability in Capstone Design Course)

  • 김종완
    • 공학교육연구
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    • 제22권2호
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    • pp.36-45
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    • 2019
  • Capstone design is a subject taught in a setting where students gather in a team, decide on their own selected topic, and collaborate with one another to perform a project. A fair assessment is very important in a team project-based capstone design course for students. Many instructors agree that harmonizing creative evaluation and outcome assessment is hard in capstone design class. In also, it is not easy to assess students' individual efforts and achievements fairly in accordance with team-based assessment practices. To resolve this issue in this paper, we have surveyed various engineering design education methodologies, and have modelled existing evaluating elements into a modified creative process and outcome assessment framework for team project assessment. In particular, we focused on a method of fairly assigning credits by combining team based and individual-level assessments. Analyzing students' achievement and grade evaluation and verifying the validity of the proposed method was performed.

Deep Adversarial Residual Convolutional Neural Network for Image Generation and Classification

  • Haque, Md Foysal;Kang, Dae-Seong
    • 한국정보기술학회 영문논문지
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    • 제10권1호
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    • pp.111-120
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    • 2020
  • Generative adversarial networks (GANs) achieved impressive performance on image generation and visual classification applications. However, adversarial networks meet difficulties in combining the generative model and unstable training process. To overcome the problem, we combined the deep residual network with upsampling convolutional layers to construct the generative network. Moreover, the study shows that image generation and classification performance become more prominent when the residual layers include on the generator. The proposed network empirically shows that the ability to generate images with higher visual accuracy provided certain amounts of additional complexity using proper regularization techniques. Experimental evaluation shows that the proposed method is superior to image generation and classification tasks.

로봇시스템에서 작은 마커 인식을 하기 위한 사물 감지 어텐션 모델 (Small Marker Detection with Attention Model in Robotic Applications)

  • 김민재;문형필
    • 로봇학회논문지
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    • 제17권4호
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    • pp.425-430
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    • 2022
  • As robots are considered one of the mainstream digital transformations, robots with machine vision becomes a main area of study providing the ability to check what robots watch and make decisions based on it. However, it is difficult to find a small object in the image mainly due to the flaw of the most of visual recognition networks. Because visual recognition networks are mostly convolution neural network which usually consider local features. So, we make a model considering not only local feature, but also global feature. In this paper, we propose a detection method of a small marker on the object using deep learning and an algorithm that considers global features by combining Transformer's self-attention technique with a convolutional neural network. We suggest a self-attention model with new definition of Query, Key and Value for model to learn global feature and simplified equation by getting rid of position vector and classification token which cause the model to be heavy and slow. Finally, we show that our model achieves higher mAP than state of the art model YOLOr.

과제 중심 다감각운동 프로그램이 학습지연을 동반한 ADHD성향 아동의 자아효능감과 쓰기능력에 미치는 변화 (The Effect of Task-Oriented Multi-Sensory Movement Program on Self-efficacy and Writing Ability of Children with ADHD Tendency Accompanied by Learning Delays)

  • 노효련;곽성원
    • 대한지역사회작업치료학회지
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    • 제8권2호
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    • pp.1-14
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    • 2018
  • 목적 : 학습지연을 동반한 ADHD성향을 지닌 아동에게 교육매체를 접목한 과제 중심 다감각운동 프로그램을 적용한 후 자아효능감과 쓰기능력의 변화를 알아보고자 하였다. 연구방법 : 학습지연을 동반한 ADHD성향을 지닌 아동을 대상으로 과제 중심 다감각운동 프로그램을 실시하였다. 연구절차는 사전검사, 중재, 사후검사 순으로 진행되었다. 사전-사후검사로 자아효능감 및 KNISE-BAAT 쓰기검사 '가'형과 '나'형을 사용하였다. 중재는 총 8회기 동안 실시하였다. 수집된 자료는 SPSS version 18 프로그램을 사용하여 분석하였다. 결과 : 과제 중심 다감각운동 프로그램 적용 결과 자아효능감(학교, 사회), 쓰기능력(어휘구사력, 문장구사력)에 유의미한 향상이 나타났다. 결론 : 과제 중심 다감각운동 프로그램은 학습지연을 동반한 ADHD성향을 지닌 아동의 자아효능감 및 쓰기능력을 향상시킬 수 있는 유익한 중재방안으로 활용될 수 있을 것이다. 후속 연구에서는 교육매체를 접목한 과제 중심 다감각 운동 중재모형을 다양하게 구안할 필요가 있다고 사료된다.

아이디어 창작을 위한 융합 교육 과정 개발에 관한 연구 (A Study on Convergence Curriculum Development for Idea Creation)

  • 장지연;이근호;윤성현
    • 디지털융복합연구
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    • 제12권2호
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    • pp.571-576
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    • 2014
  • 융합(Convergence)은 2개 이상의 상이한 요소들을 결합하여 새로운 것을 만들어 내는 것을 말한다. 현재 융합 영역은 이종기술간 결합이라는 개념에서 산업, 교육 분야까지 확대되고 있으며 성공적인 융합의 가장 중요한 핵심은 문제 해결을 위한 아이디어 도출이다. 그러나 기업에서 진행되는 아이디어 도출은 기획 전문가 등의 전문 인력을 채용하여 신제품 기획 및 기업 혁신을 이끌어 낸 사례가 대부분이다. 이러한 경우 다양한 융합 산출물을 기대하기 어려운 실정이다. 본 연구에서는 일반인들의 아이디어 창작을 위한 교육과정을 개발하는 것이다. 개발 모델은 1) 내적 역량 강화를 위한 창의적 사고 능력, 2) 수요자에 맞는 교육과정, 3) 융합 기술에 대한 이해, 4) 아이디어 창작 및 기획 능력 4가지의 개념으로 구성된다. 제안된 교육 모델을 융합 교육에 적용하는 경우 창의적인 아이디어를 갖는 융합 인력이 양성될 것이라고 기대된다.