• 제목/요약/키워드: Hub Network

검색결과 327건 처리시간 0.022초

딥러닝 기반 운동 자세 교정 시스템의 성능 (Performance of Exercise Posture Correction System Based on Deep Learning)

  • 황병선;김정호;이예람;경찬욱;선준호;선영규;김진영
    • 한국인터넷방송통신학회논문지
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    • 제22권5호
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    • pp.177-183
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    • 2022
  • 최근 COVID-19로 인해 홈 트레이닝의 관심도가 증가하고 있다. 이에 따라 HAR(human activity recognition) 기술을 홈 트레이닝에 적용한 연구가 진행되고 있다. 기존 HAR 분야의 논문에서는 동적인 자세보다는 앉기, 일어서기와 같은 정적인 자세들을 분석한다. 본 논문은 동적인 운동 자세를 분석하여 사용자의 운동 자세 정확도를 보여주는 딥러닝 모델을 제안한다. AI hub의 피트니스 이미지를 blaze pose를 사용하여 사람의 자세 데이터를 분석한다. 3개의 딥러닝 모델: RNN(recurrnet neural networks), LSTM(long short-term memory networks), CNN(convolution neural networks)에 대하여 실험을 진행한다. RNN, LSTM, CNN 모델의 f1-score는 각각 0.49, 0.87, 0.98로 CNN 모델이 가장 적합하다는 것을 확인하였다. 이후 연구로는, 다양한 학습 데이터를 사용하여 더 많은 운동 자세를 분석할 예정이다.

Network pharmacology and molecular docking reveal the mechanism of Qinghua Xiaoyong Formula in Crohn's disease

  • Chenyang Fang;Yanni Pei;Yunhua Peng;Hong Lu;Yin Qu;Chunsheng Luo;Yafeng Lu;Wei Yang
    • The Korean Journal of Physiology and Pharmacology
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    • 제27권4호
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    • pp.365-374
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    • 2023
  • Crohn's disease (CD) is a chronic inflammatory illness of the digestive system with unknown etiology, and its incidence is increasing worldwide. However, there are currently no effective treatments or medications available for individuals with CD. Therefore, novel therapeutic strategies are urgently needed. The bioactive compounds and targets associated with compounds of Qinghua Xiaoyong Formula (QHXYF) were examined using The Traditional Chinese Medicine Systems Pharmacology database, and 5 disease target databases were also used to identify CD-related disease targets. A total of 166 overlapping targets were identified from QHXYF-related and CD-related disease targets and they were found to be enriched in oxidative stress-related pathways and the PI3K/AKT signaling pathway. Molecular docking was then used to predict how the bioactive compounds would bind to the hub targets. It was found that quercetin could be the core bioactive compound and had good binding affinity to the top 5 hub targets. Finally, animal experiments were performed to further validate the findings, and the results revealed that QHXYF or quercetin inhibited 2,4,6-trinitrobenzenesulfonic acid-induced inflammation and oxidative stress processes by inhibiting the PI3K/AKT pathway, thereby improving CD symptoms. These findings suggest that QHXYF and quercetin may be potential novel treatments for CD.

COVID-19: Improving the accuracy using data augmentation and pre-trained DCNN Models

  • Saif Hassan;Abdul Ghafoor;Zahid Hussain Khand;Zafar Ali;Ghulam Mujtaba;Sajid Khan
    • International Journal of Computer Science & Network Security
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    • 제24권7호
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    • pp.170-176
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    • 2024
  • Since the World Health Organization (WHO) has declared COVID-19 as pandemic, many researchers have started working on developing vaccine and developing AI systems to detect COVID-19 patient using Chest X-ray images. The purpose of this work is to improve the performance of pre-trained Deep convolution neural nets (DCNNs) on Chest X-ray images dataset specially COVID-19 which is developed by collecting from different sources such as GitHub, Kaggle. To improve the performance of Deep CNNs, data augmentation is used in this study. The COVID-19 dataset collected from GitHub was containing 257 images while the other two classes normal and pneumonia were having more than 500 images each class. There were two issues whike training DCNN model on this dataset, one is unbalanced and second is the data is very less. In order to handle these both issues, we performed data augmentation such as rotation, flipping to increase and balance the dataset. After data augmentation each class contains 510 images. Results show that augmentation on Chest X-ray images helps in improving accuracy. The accuracy before and after augmentation produced by our proposed architecture is 96.8% and 98.4% respectively.

지식공유의 장(場)을 통한 협력네트워크 활성화에 대한 연구 : 비영리조직 네트워크를 중심으로 (A Study on Activation of Network through the Ba of Knowledge Sharing : The case of NPOs Network)

  • 진호석;박상혁;박정선
    • 한국정보시스템학회지:정보시스템연구
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    • 제26권2호
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    • pp.85-104
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    • 2017
  • Purpose The purpose of this study is to improve the efficiency of the activities of loosely connected network organization through the platform(Ba) of knowledge sharing. Loosely connected network organizations have been tried to promote new work and complement the scarce resources through collaborations. NPO(Non-Profit Organization) is essential to establish cooperation networks in order to achieve the public interest on the basis of scarce resources. This study interpreted the Ba on the 'Change-On' program and analyzed the social networks of regional organizations through the activation of the Ba. The 'Change-On' program is conducted for several years to promote the efficiency of the NPO network by Daum Generation Foundation. Design/methodology/approach This study made a design to organize the Ba concept of Nonaka & Konno and presented a case of the Ba activated based on the NPO network of regional order. According to the social network analysis of regional cooperation within the network of participating organizations was extended, it was found that the principal plays a significant role as a central hub made. Findings According to the empirical analysis, this study illustrated that various types of network were formed among NPOs based on the 'Change-On'. Furthermore, the networks surrounding NPOs are extended to the other people connected to them. This means that the network of NPOs had been diversified via the facilitation of the Ba. This study throws new highlights on the new role for the Ba as a network promoter in addition to the partner as a technology-provider in the NPO ecosystem. Moreover, the network analysis between before-and-after can be used for the evaluation of the effectiveness of the various Ba programs.

한국 간호학 연구주제의 사회 연결망 분석 (A Social Network Analysis of Research Topics in Korean Nursing Science)

  • 이수경;정상원;김홍기;염영희
    • 대한간호학회지
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    • 제41권5호
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    • pp.623-632
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    • 2011
  • Purpose: This study was done to explore the knowledge structure of Korean Nursing Science. Methods: The main variables were key words from the research papers that were presented in the Journal of Korean Academy of Nursing and journals of the seven branches of the Korean Academy of Nursing. English titles and abstracts of the papers (n=5,936) published from 1995 through 2009 were included. Noun phrases were extracted from the corpora using an in-house program (BiKE Text Analyzer), and their co-occurrence networks were generated via a cosine similarity measure, and then the networks were analyzed and visualized using Pajek, a Social Network Analysis program. Results: With the hub and authority measures, the most important research topics in Korean Nursing Science were identified. Newly emerging topics by three-year period units were observed as research trends. Conclusion: This study provides a systematic overview on the knowledge structure of Korean Nursing Science. The Social Network Analysis for this study will be useful for identifying the knowledge structure in Nursing Science.

대륙횡단철도 연계운영의 효율화를 위한 기초조사 (A basic Research on the Euro-Asian Continental Rail Corridor for Effective Connection and Operation)

  • 나희승;손지언;조영걸
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2004년도 춘계학술대회 논문집
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    • pp.534-541
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    • 2004
  • To boost the Korean peninsula as a logistical hub of North-East Asia in 21st century is an important part of Korean development strategies. This research has been conducted on the premise that the connection and operation of the Korean Peninsula break-railway and Euro-Asian railway network will be a great drive for Korean economy and railway technology development. For the preparation to do a further research on this subject, this paper introduces the general condition and related basic material for the railway network operation through the countries along the corridor. It also provides the basic data of railway and actual operation condition in the involved Euro- Asian areas, such as Russia, China, Mongolia, Kazakh-stan, etc.

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모바일 홈 네트워크 서비스 (Mobile Home Network Service)

  • 신용식;이정수;박용길;정원석
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2003년도 하계학술대회
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    • pp.329-331
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    • 2003
  • 본 논문에서는 통합 및 유비퀴터스(Ubiquitous) 환경의 실현을 위한 첫 단계 서비스라 할 수 있는 모발일 홈 네트워크 서비스에 대해 살펴본다. 따라서 모바일 홈 네트워크(mobile Home Network, mHN) 서비스의 개념 및 이를 제공하기 위해 존재하는 가치사슬, 서비스 모델 및 필요기술 등을 제시한다. 본 논문에서는 서비스 모델을 크게 P2P, Semi P2P, 통합형 (Hub & Spoke)으로 구분하여 각 모델의 특징을 살펴본다. 특히, 통합형 모델을 위한 서버의 서비스, 제어 및 관리 기능과 관련 노드들과의 연동을 위한 인터페이스 등을 나타낸다. 뿐만 아니라 댁내와 댁내의 연결 노드인 홈 게이트웨이의 구조 및 기능 들을 살펴보고 마지막으로 다양한 모바일 홈 네트워크 서비스의 예를 제시한다.

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택배네트워크의 운영효율성 증진을 위한 시스템 사고 (System Thinking for Increasing the Operational Efficiency of Door-to-door Delivery Network)

  • 최강화
    • 한국시스템다이내믹스연구
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    • 제12권1호
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    • pp.89-114
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    • 2011
  • With steady increase in the demand for door-to-door delivery services, courier service providers are facing a constant pressure to reduce delivery price in order to secure quantity order and to improve the efficiency and reliability for customer service. The objective of this research is to explain the structure of the door-to-door delivery including door-to-door delivery service demand, sorting capacity in the hub-terminal, and the system performance measures such as service reliability networks using causal loop diagram(CLD). Based on causal relation, this research describes a comprehensive approach to examine how capacity reliability contributes to the renewal of the firm's competences through its reciprocal relationship with travel time reliability and connectivity reliability. Also, this research suggests the policy alternatives to improve effectiveness and efficiency of door-to-door delivery network in response to increase customer satisfaction and profit maximization of the courier service providers: operational, tactical, and strategic levels.

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설비용량을 고려한 계층적 네트워크의 설계 및 분석 (Designing hierarchical ring-star networks under node capacity constraints)

  • 이창호;윤종화;정한욱
    • 한국경영과학회지
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    • 제19권1호
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    • pp.69-83
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    • 1994
  • This paper deals with a capacitated ring-star network design problem (CRSNDP) with node capacity constraints. The CRSNDP is formulated as a mixed 0-1 integer problem, and a 2-phase heuristic solution procedure, ADD & VAM and RING, is developed, in which the CRSNDP is decomposed into two subproblems : the capacitated facility location problem (CFLP) and the traveling sales man problem (TSP). To solve the CFLP in phase I the ADD & VAM procedure selects hub nodes and their appropriate capacity from a candidate set and then assigns them user nodes under node capacity constraints. In phase II the RING procedure solves the TSP to interconnect the selected hubs to form a ring. Finally a solution of the CRSNDP can be achieved through combining two solution of phase I & II, thus a final design of the capacitated ring-star network is determined. The analysis of computational results on various random problems has shown that the 2-phase heuristic procedure produces a solution very fast even with large-scale problems.

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Reengineering the Structure of Knowledge Sharing Network

  • 남수현
    • 한국디지털정책학회:학술대회논문집
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    • 한국디지털정책학회 2005년도 추계학술대회
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    • pp.209-220
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    • 2005
  • 지식경영은 기업의 지속적 경쟁력을 제공하는 중요한 경영기법으로 인식되고 있다. 그러나 많은 기업에서 know-how 지식이나 know-where 지식을 축적하여 놓고 관련 평가체계를 잘 정립하면 향후 사용될 것이라는 전제하에 지식관리를 하고 있는 실정이다. 이러한 관점에서 본 논문은 지식관리를 조직업무형태에 따른 체인, 허브, 웹 유형으로 구분, 관리함이 효과적일 것이라는 가설을 기존 논문을 근거로 도출하였다. 이 중에서 가장 관리하기가 어렵다고 판단된 웹 혹은 네트워크 유형의 지식관리를 체계적으로 하기 위해서는 네트워크의 구조 자체에 대한 분석이 클러스터링 계수와 네트워크를 확장하는 역할을 담당할 수 있는 구성원에 대하여 이루어져야함을 e-Business 모델을 이용하여 제시하였다. 이러한 네트워크의 선행분석은 기존의 지식관리방법론을 보다 적극적인 관점에서 계획 및 통제할 수 있는 수단을 제공할 수 있을 것으로 판단된다.

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