• 제목/요약/키워드: Convergence Analysis

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산업 내 경쟁자와 신규진입자의 등록특허 분석을 통한 ICT 산업 융합기술 도출 (Identifying Converging Technologies in the ICT Industry : Analysis of Patents Published by Incumbents and Entrants)

  • 안재형;김규웅;노희용;이성주
    • 대한산업공학회지
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    • 제42권3호
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    • pp.209-221
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    • 2016
  • As the ICT is an industry which is the basis of the technology convergence, it is the driving force of development for new business opportunities and existing industries. But, most of the existing studies for ICT convergence have identified the trend for convergence in technological terms. So, it is difficult to identify the convergence trend in the subject innovation perspective which leads the innovation activities In the ICT industry. The newly entered companies in the ICT industry are key indicators to identify the convergence trend. They have two specific characteristics that show the wide range of the convergence technology and the application rate of the convergence. Because previous studies did not take into account these two characteristics of the newly entered companies, so it is hard to analyze the exact convergence trend. Therefore, in this paper, we classify the patents for the ICT industry depending on the subject innovation. Then, we deduct the core convergence technology in the ICT industries and application area of the non-ICT industries.

데이터 재순환 LMS알고리즘의 탭 가중치 갱신을 통한 수렴속도 개선 (An Improvement of the Convergence Speed through Tap Weight Updating of Dta-Recycling LMS Algorithm)

  • 김원균;김광준;나상동
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (3)
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    • pp.624-626
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    • 1998
  • In this paper. a new simple and efficient technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analysis to prove theoretically the improvement of convergence speed. The theoretical analysis shows that the data-recycling LMS technique can increase convergence speed by (B+1) times, where B is the number of recycled data. The results of the computer simulation demonstrate that the simulation results are in accordance with the theoretical analysis and the superiority of the filter algorithm

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Euler 방정식에 대한 LU implicit scheme의 수렴성 해석 (Convergence Analysis of LU scheme for the Euler equations)

  • 김주성;권오준
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2003년도 추계 학술대회논문집
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    • pp.49-55
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    • 2003
  • A comprehensive study has been made for the investigation of the convergence characteristics of the LU scheme for the Euler equations using von Neumann stability analysis. The stability results indicate that the convergence rate is governed by a specific parameter combination. Based on this insight it is shown that the LU scheme will not suffer convergence deterioration at any grid aspect ration if the local time step is defined using appropriate parameter combination. The numerical results demonstrate that this time step definition gives uniform convergence for grid aspect ratios from one to $1\times10^4$.

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Brain Mapping Using Neuroimaging

  • Tae, Woo-Suk;Kang, Shin-Hyuk;Ham, Byung-Joo;Kim, Byung-Jo;Pyun, Sung-Bom
    • Applied Microscopy
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    • 제46권4호
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    • pp.179-183
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    • 2016
  • Mapping brain structural and functional connections through the whole brain is essential for understanding brain mechanisms and the physiological bases of brain diseases. Although region specific structural or functional deficits cause brain diseases, the changes of interregional connections could also be important factors of brain diseases. This review will introduce common neuroimaging modalities, including structural magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging, and other recent neuroimaging analyses methods, such as voxel-based morphometry, cortical thickness analysis, local gyrification index, and shape analysis for structural imaging. Tract-Based Spatial Statistics, TRActs Constrained by UnderLying Anatomy for diffusion MRI, and independent component analysis for fMRI also will also be introduced.

논문 및 특허 데이터를 활용한 전기자동차 기술 동향 예측 연구 (Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data)

  • 구자욱;이종호;정명석;이주연
    • 디지털융복합연구
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    • 제15권2호
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    • pp.165-172
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    • 2017
  • 본 논문에서는 전기자동차를 주제로 SCIE 및 SSCI 저널에 게재한 논문데이터를 활용한 시계열 분석과 국제특허분류(International patent classification, 이하 IPC) 별 특허 데이터를 활용한 시계열 분석과 노드엑셀을 활용한 네트워크 분석을 통해 2001년에서 2014년까지의 전기자동차의 기술 동향을 파악하고 특허와 논문 데이터의 상관관계 분석을 통하여 기술 동향을 분석하였다. 또한 예측기법 중 하나인 가중이동평균법으로 전기자동차의 유망 요소기술을 예측하였다. 본 연구의 결과 전기자동차 요소기술 중 배터리 기술이 유망한 기술로 나타났다.

Experimental evaluation of fuel rod pattern analysis in fuel assembly using Yonsei single-photon emission computed tomography (YSECT)

  • Choi, Hyung-joo;Cheon, Bo-Wi;Baek, Min Kyu;Chung, Heejun;Chung, Yong Hyun;You, Sei Hwan;Min, Chul Hee;Choi, Hyun Joon
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.1982-1990
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    • 2022
  • The purpose of this study was to verify the possibility of fuel rod pattern analysis in a fresh fuel assembly using the Yonsei single-photon emission computed tomography (YSECT) system. The YSECT system consisted of three main parts: four trapezoidal-shaped bismuth germanate scintillator-based 64-channel detectors, a semiconductor-based multi-channel data acquisition system, and a rotary stage. In order to assess the performance of the prototype YSECT, tomographic images were obtained for three representative fuel rod patterns in the 6 × 6 array using two representative image-reconstruction algorithms. The fuel-rod patterns were then assessed using an in-house fuel rod pattern analysis algorithm. In the experimental results, the single-directional projection images for those three fuel-rod patterns well discriminated each fuel-rod location, showing a Gaussian-peak-shaped projection for a single 10 mm-diameter fuel rod with 12.1 mm full-width at half maximum. Finally, we successfully verified the possibility of the fuel rod pattern analysis for all three patterns of fresh fuel rods with the tomographic images obtained by the rotational YSECT system.

Experimental Studies on the Anti-inflammatory Effect of Cannabis sativa based on a Scientometric Analysis

  • Eunsoo Sohn;Sung Hyeok Kim;Sohee Jang;Se-Hui Jung;Kooyeon Lee;Eun-Hwa Sohn
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2021년도 춘계학술대회
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    • pp.45-45
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    • 2021
  • This study aimed to explore research on bibliometric features of cannabis by applying scientometric analysis method, and to approach experimental research evaluation based on it. A total of 30,352 articles on cannabis published since 2001 from SCOPUS were analyzed using KnowledgeMatrix Plus and VOSviewer software. Results showed differences in research activities in countries where cannabis is legalized (Canada, the United States, the Netherlands) and Asian countries where its use is illegal. Related to medical cannabis, there has been a noticeable increase in the number of studies on pain, epilepsy, seizures and brain diseases such as multiple sclerosis. In the field of basic research, the number of pharmacological studies of cannabis on the cannabinoid type 1 receptor signaling pathway and inflammation and obesity has increased significantly. Subsequent experimental studies have compared the anti-inflammatory effects of four parts of Korean cannabis such as root, stem, leaf, and bark. Consistent with the predicted results of the scientometric analysis, all parts of C. sativa showed inhibitory effects on COX-2, NO/iNOS and TNF-α expression in LPS-stimulated RAW264.7 cells. These attempts provide an experimental research approach based on scientometric assessment.

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데이터 재활용 LMS equalizer의 수렴성능 분석 (Convergence analysis of data-recycling LMS equalizer)

  • 김남용
    • 한국통신학회논문지
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    • 제21권8호
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    • pp.1905-1913
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    • 1996
  • The convergence characteristics of an LMS type Equalizer whose coefficient are multiple adapted in a symbol time period by recycling the received data are analyzed. The theoretical analysis shows that the data-recycling LMS technique can increase convergence speed by (B+1) times, where B is the number of recycled data. The results of the computer simulation demonstrate that the simulation results are in accordence with the theoretical analysis and the superiority of the equalizer algorithm.

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확장 Baysian 방법과 상대변위를 이용한 터널 역해석 기법 (Back-analysis Technique in Tunnelling Using Extended Bayesian Method md Relative Convergence Measurement)

  • 최민광;조국환;이근하;최충식
    • 한국지반공학회논문집
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    • 제21권3호
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    • pp.99-108
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    • 2005
  • 지하 구조물을 설계하는데 있어서 가장 중요하면서도 어려운 일은 대상 지반의 정확한 공학적 특성을 파악하는 것이다. 본 논문의 주된 목적은 터널 주변지반의 지반정수 평가를 위한 새로운 터널 역해석 기법의 제안에 있다. 이를 위하여, 초기 예측치와 계측치로부터 예측된 값을 합리적으로 조합할 수 있는 확장 Bayesian 방법(Extended Bayesian Method, EBM)을 적용하였다. 또한 터널 내에서 계측된 터널 상대변위만을 역해석 입력값으로 사용함으로써 터널 절대변위 예측을 위한 수학적 연산 과정에서 발생되는 오차를 제거하였으며, 터널 상대변위 발생 경향을 역해석에 충분히 반영하기 위하여 3차원 수치해석을 적용하였다. 이를 바탕으로 본 논문에서는 터널 상대변위를 이용한 3차원 터널 역해석 기법을 제안하였으며, 가상의 단면에 대한 예제해석을 통해 그 적용성을 검증하였다.

가상현실 프로그램이 뇌졸중 환자의 일상생활활동 능력에 미치는 융합적 효과 : 메타분석 (Convergence Effect of Virtual Reality Program on Activities of Daily Living Ability in Stroke Patients : Meta-Analysis)

  • 최기복;조성현
    • 한국융합학회논문지
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    • 제11권8호
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    • pp.63-70
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    • 2020
  • 본 연구는 뇌졸중 환자를 대상으로 가상현실 프로그램에 대한 융복합적 효과를 알아보기 위해 메타분석을 실시하였다. PICOS 기준에 따라 국내 문헌을 검색하여 '뇌졸중', '가상현실 프로그램' 관련하여 최종 9편의 연구를 선정하였다. 개별 연구물의 비뚤림 평가는 각 연구의 설계에 따른 평가 도구를 이용하여 실시하였다. CMA 프로그램을 이용하여 메타분석의 효과크기를 산출하였다. 조절효과분석은 하위그룹분석과 메타회귀분석으로 실시하였다. 가상현실 프로그램의 일상생활활동 능력에 대한 전체 효과크기는 Hedges's g=0.302(95% CI: 0.064~0.540)이었다. 따라서 가상현실 프로그램은 뇌졸중 환자의 일상생활활동 능력을 증가시켜 가상현실 산업과 의료 보건 산업을 융복합한 의료산업에 긍정적인 영향을 제공할 수 있다.