• 제목/요약/키워드: Large Complex Systems

검색결과 610건 처리시간 0.026초

Stochastic micro-vibration response characteristics of a sandwich plate with MR visco-elastomer core and mass

  • Ying, Z.G.;Ni, Y.Q.;Duan, Y.F.
    • Smart Structures and Systems
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    • 제16권1호
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    • pp.141-162
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    • 2015
  • The magneto-rheological visco-elastomer (MRVE) is used as a smart core to control the stochastic micro-vibration of a sandwich plate with supported mass. The micro-vibration response of the sandwich plate with MRVE core and supported mass under stochastic support motion excitations is studied and compared to evaluate the vibration suppression capability. The effects of the supported mass and localized magnetic field on the stochastic micro-vibration response of the MRVE sandwich plate are taken into account. The dynamic characteristics of the MRVE core in micro-vibration are described by a non-homogeneous complex modulus dependent on vibration frequency and controllable by applied magnetic fields. The partial differential equations for the coupled transverse and longitudinal motions of the MRVE sandwich plate with supported mass are derived from the dynamic equilibrium, constitutive and geometric relations. The simplified ordinary differential equations are obtained for the transverse vibration of the MRVE sandwich plate under localized magnetic fields. A frequency-domain solution method for the stochastic micro-vibration response of sandwich plates with supported mass is developed based on the Galerkin method and random vibration theory. The expressions of frequency-response functions, response power spectral densities and root-mean-square velocity responses of the plate in terms of the one-third octave frequency band are obtained for micro-vibration evaluation. Finally, numerical results are given to illustrate the large response reduction capacity of the MRVE sandwich plate with supported mass under stochastic support motion excitations, and the influences of MRVE parameters, supported mass and localized magnetic field placement on the micro-vibration response.

자원 제약하의 중소기업 정보보안계획 수립방안 연구 (A Study on Establishment of Small and Medium Business Information Security Plan under Resource Restrictions)

  • 권장기;김경일
    • 융합정보논문지
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    • 제7권2호
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    • pp.119-124
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    • 2017
  • 정보는 기업의 규모와 무관하게 소중한 자산이며 정보보안은 기업의 생존과 번영을 위해 필수적인 요소이다. 하지만 대기업의 경우 정보보안경영시스템(ISMS)의 신속한 도입을 통해 안전을 확보해 나가지만, 중소기업의 경우는 예산 제약, 보안 지침의 미흡, 보안에 대한 인식 부족 등, 복합적인 요인들로 인해 보안시스템이 구축되지 않거나 구축이 지체되고 있다. 본 논문에서는 중소기업의 정보보안 관리 실태를 설문조사를 통하여 문제점을 분석하고, 중소 기업을 위한 무료 또는 저렴한 방법으로 종합적인 보안계획 수립 방안을 제시하고자 한다. 본 논문이 제시하는 방법을 적용해 중소기업들은 최저 비용의 기본적인 정보보안을 구현할 수 있을 것이며, 정보보안 계획을 수립하고자 하는 중소기업들에 도움이 될 것이라고 믿는다.

초분광 이미지 픽셀 분류를 위한 풀링 연산과 PSNR을 이용한 최적 밴드 선택 기법 (Optimal Band Selection Techniques for Hyperspectral Image Pixel Classification using Pooling Operations & PSNR)

  • 장두혁;정병현;허준영
    • 한국인터넷방송통신학회논문지
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    • 제21권5호
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    • pp.141-147
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    • 2021
  • 본 연구를 통해 임베디드 시스템(Embedded System)에서 뉴럴 네트워크(Neural Network) 인풋의 차원 감소 방식으로 복잡한 연산량을 줄여 초분광 대용량 데이터 특징 정보의 활용률을 개선하기 위해, 전체 밴드를 밴드별 최댓값과 최솟값 차이로 부분집합으로 군집화하여, 각 부분집합에서 밴드 선택 알고리즘을 적용한다. 특징 추출과 특징 선택 기법 중에, 특징 선택 기법을 통해, 파장 범위와 관계없이 데이터세트에 맞는 최적의 밴드 수와 기존 알고리즘 적용 소요 시간과 성능을 향상하고자 한다. 이 실험을 통해 기존 밴드 선택 기법보다 1/3~ 1/9배 소요 시간을 단축했음에도 불구하고 K-최근접 이웃 분류기를 통한 성능 면에서는 약 4% 이상 향상된 의미 있는 결과를 도출하였다. 실시간 초분광 데이터 분석 활용에는 어렵지만, 개선된 가능성을 확인했다.

딥러닝 기반 LNGC 화물창 스캐닝 점군 데이터의 비계 시스템 객체 탐지 및 후처리 (Object Detection and Post-processing of LNGC CCS Scaffolding System using 3D Point Cloud Based on Deep Learning)

  • 이동건;지승환;박본영
    • 대한조선학회논문집
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    • 제58권5호
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    • pp.303-313
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    • 2021
  • Recently, quality control of the Liquefied Natural Gas Carrier (LNGC) cargo hold and block-erection interference areas using 3D scanners have been performed, focusing on large shipyards and the international association of classification societies. In this study, as a part of the research on LNGC cargo hold quality management advancement, a study on deep-learning-based scaffolding system 3D point cloud object detection and post-processing were conducted using a LNGC cargo hold 3D point cloud. The scaffolding system point cloud object detection is based on the PointNet deep learning architecture that detects objects using point clouds, achieving 70% prediction accuracy. In addition, the possibility of improving the accuracy of object detection through parameter adjustment is confirmed, and the standard of Intersection over Union (IoU), an index for determining whether the object is the same, is achieved. To avoid the manual post-processing work, the object detection architecture allows automatic task performance and can achieve stable prediction accuracy through supplementation and improvement of learning data. In the future, an improved study will be conducted on not only the flat surface of the LNGC cargo hold but also complex systems such as curved surfaces, and the results are expected to be applicable in process progress automation rate monitoring and ship quality control.

DEMATEL 기법을 활용한 프로젝트 관리 성공을 저해하는 장애요인 간의 영향 관계 분석 (Analyzing the Influence Relationship between Barriers to Success of Project Management Using DEMATEL Method)

  • 이아연;장미경
    • 산업경영시스템학회지
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    • 제44권3호
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    • pp.214-229
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    • 2021
  • There is an increasing need for complex and large projects to be carried out quickly. As the duration, size, and cost of the project increase, concerns about project failure are also rising. Finding factors that hinder the performance of an effective project and eliminating them in advance or controlling and managing them more effectively can be a more direct way to secure the success of the project. Previous studies have identified compositional dimensions that are classified according to attributes, covering the various obstacles that affect the success of the project through existing literature. It is a follow-up to previous research. Using DEMATEL techniques, we would like to propose to explore the appropriate measures that an entity and organization can take by identifying the causality between factors through cross-impact analysis of project disabilities and even presenting factors that may arise when they are identified. As a result of the analysis, according to the indicators to evaluate the importance, 8 factors were found to be relatively important factors, excluding the factors that Failure of project feasibility analysis and Technical environment change. In addition, 5 factors were found to be causative factors; Technical environment change, Unclarity project plan, Strategic consistency error, Inaccuracy of requirement definition, and Failure of project feasibility analysis. In contrast, the remaining 5 factors were found to be the result factors; Lack of benefits realization, Negative attitude of top management, Stakeholder conflict, Difficulty of process management, and Disturbance of communication.

Multi-mode cable vibration control using MR damper based on nonlinear modeling

  • Huang, H.W.;Liu, T.T.;Sun, L.M.
    • Smart Structures and Systems
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    • 제23권6호
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    • pp.565-577
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    • 2019
  • One of the most effective countermeasures for mitigating cable vibration is to install mechanical dampers near the anchorage of the cable. Most of the dampers used in the field are so-called passive dampers where their parameters cannot be changed once designed. The parameters of passive dampers are usually determined based on the optimal damper force obtained from the universal design curve for linear dampers, which will provide a maximum additional damping for the cable. As the optimal damper force is chosen based on a predetermined principal vibration mode, passive dampers will be most effective if cable undergoes single-mode vibration where the vibration mode is the same as the principal mode used in the design. However, in the actual engineering practice, multi-mode vibrations are often observed for cables. Therefore, it is desirable to have dampers that can suppress different modes of cable vibrations simultaneously. In this paper, MR dampers are proposed for controlling multi-mode cable vibrations, because of its ability to change parameters and its adaptability of active control without inquiring large power resources. Although the highly nonlinear feature of the MR material leads to a relatively complex representation of its mathematical model, effective control strategies can still be derived for suppressing multi-mode cable vibrations based on nonlinear modelling, as proposed in this paper. Firstly, the nonlinear Bouc-wen model is employed to accurately portray the salient characteristics of the MR damper. Then, the desired optimal damper force is determined from the universal design curve of friction dampers. Finally, the input voltage (current) of MR damper corresponding to the desired optimal damper force is calculated from the nonlinear Bouc-wen model of the damper using a piecewise linear interpolation scheme. Numerical simulations are carried out to validate the effectiveness of the proposed control algorithm for mitigating multi-mode cable vibrations induced by different external excitations.

소형조선소 맞춤형 생산공정 계획관리 시스템 개발 및 적용에 관한 연구 (A Study on the Development and Application of a Small Shipyard Customized Production Process Planning and Management System)

  • 김영훈;홍민종;백승주;이원석;조용화;이대형;이훈식;나성태
    • 한국산업융합학회 논문집
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    • 제25권1호
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    • pp.79-86
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    • 2022
  • In general, since the types and types of ships, so complex and various variables are included to measure the amount of construction work. In addition, it is mot easy to predict the schedule or the number of working hours before ship construction, and it is also mostly inaccurate. As a result, the master plan is manually drawn up by the expert's experience, but there are limitations due to various factors. Medium and large shipyards are operating APS(Advanced Planning and Scheduling) system that reflects industrial characteristics to improve productivity in the planning stage, and utilize information from systems such as ERP(Enterprise Resource Planning) system and MES (Manufacturing Execution System). On the other hand, small shipyards rely mostly on manual work such as Excel work based on the experience of the workers. Therefore, this study intends to develop a master plan management system that can efficiently manage the production process from the business planning stage in consideration of the characteristics of small shipyards.

한의학 이론 연구를 위한 새로운 방법: 네트워크 약리학을 활용한 약물중심 접근법 (A Novel Method to Investigating Korean Medicine Theory : Drug-centered Approach Employing Network Pharmacology)

  • 이원융;김창업;이충열
    • 동의생리병리학회지
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    • 제35권5호
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    • pp.125-131
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    • 2021
  • The scientific understanding of Korean medicine theory remains largely unknown, since there is a lack of proper methods to investigate its complex and unique characteristics. Here, we introduce a drug-centered approach, a novel method to investigate Korean medicine theory by analyzing the mechanisms of herbal medicines. This method can be effectively conducted by employing network pharmacology that can analyze the systems-level mechanisms of herbal medicines on a large scale. Firstly, we introduce the method of network pharmacology that are applied to analyze the mechanisms of herbal medicines in a step-by-step manner. Then, we show how the drug-centered approach employing network pharmacology can be applied to investigate Korean medicine theory by describing studies that identify the biological correlates of the cold-hot nature of herbs, spleen qi deficiency syndrome, or Sasang constitution. Finally, we discuss the limitations and future directions of the proposed approach in two aspects: The methods of network pharmacology for a drug-centered approach and the process of inferring Korean medicine theory through it. We believe that a drug-centered approach employing network pharmacology will provide an advanced scientific understanding of Korean medicine theory and contribute to its development by generating biologically plausible hypothesis.

Hot Keyword Extraction of Sci-tech Periodicals Based on the Improved BERT Model

  • Liu, Bing;Lv, Zhijun;Zhu, Nan;Chang, Dongyu;Lu, Mengxin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권6호
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    • pp.1800-1817
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    • 2022
  • With the development of the economy and the improvement of living standards, the hot issues in the subject area have become the main research direction, and the mining of the hot issues in the subject currently has problems such as a large amount of data and a complex algorithm structure. Therefore, in response to this problem, this study proposes a method for extracting hot keywords in scientific journals based on the improved BERT model.It can also provide reference for researchers,and the research method improves the overall similarity measure of the ensemble,introducing compound keyword word density, combining word segmentation, word sense set distance, and density clustering to construct an improved BERT framework, establish a composite keyword heat analysis model based on I-BERT framework.Taking the 14420 articles published in 21 kinds of social science management periodicals collected by CNKI(China National Knowledge Infrastructure) in 2017-2019 as the experimental data, the superiority of the proposed method is verified by the data of word spacing, class spacing, extraction accuracy and recall of hot keywords. In the experimental process of this research, it can be found that the method proposed in this paper has a higher accuracy than other methods in extracting hot keywords, which can ensure the timeliness and accuracy of scientific journals in capturing hot topics in the discipline, and finally pass Use information technology to master popular key words.

Wire Arc Additive Manufacturing(WAAM)에서 적층 비드(Bead) 형상 정확도 및 기계적 특성 향상을 위한 가변 가압장치 개발 (Development of Variable Rolling Pressure Device for Bead-Shape Accuracy and Mechanical Property Enhancement in WAAM)

  • 황예한;이춘만;김동현
    • 한국기계가공학회지
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    • 제21권8호
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    • pp.66-71
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    • 2022
  • Metal additive manufacturing (AM) has revolutionized several manufacturing industries. AM can generate large-scale metal components and produce complex geometries close to net-shapes. WAAM is an AM technology that has garnered considerable interest among industries owing to its economics and relatively high deposition rates. However, the heat accumulation in the weld bead during deposition triggers distortion and residual stress. To address these problems, various methods of interpass pressure rolling systems have been suggested in recent research. In addition, combining the rolling and WAAM processes can mitigate residual stresses. The constant-pressure rolling of the interlayer also affect the microstructure. The coarse microstructure of the as-deposited sample was altered to finer equiaxed grains via these methods. However, the bead-shape accuracy of the interlayer constant-pressure method does not consider the heat accumulation in each layer. Therefore, this study develops an interpass variable pressure rolling system that considers the heat accumulation of each layer. The interpass variable pressure rolling system comprises deposition, detection, pressure, and transport units. Finally, verification tests are performed on the interpass variable-pressure rolling system (at 500 kg) with the WAAM process, and the obtained results are discussed.