• Title/Summary/Keyword: 현수부

Search Result 316, Processing Time 0.047 seconds

Assessing the Applicability of Sea Cliff Monitoring Using Multi-Camera and SfM Method (멀티 카메라와 SfM 기법을 활용한 해식애 모니터링 적용가능성 평가)

  • Yu, Jae Jin;Park, Hyun-Su;Kim, Dong Woo;Yoon, Jeong-Ho;Son, Seung-Woo
    • Journal of The Geomorphological Association of Korea
    • /
    • v.25 no.1
    • /
    • pp.67-80
    • /
    • 2018
  • This study used aerial and terrestrial images to build a three-dimensional model of cliffs located in Pado beach using SfM (Structure from Motion) techniques. Using both images, the study purposed to reduce the shadow areas that were found when using only aerial images. Accuracy of the two campaigns was assessed by root mean square error, and monitored by M3C2 (Multiscale Model to Model Cloud Comparison) method. The result of the M3C2 in closed areas such as sea cave and notch did not express the landforms partly. However, eroded debris on sea cliffs were detected as eroded area by M3C2, as well as in captured pictures by multi-camera. The result of this study showed the applicability of multi-camera and SfM in monitoring changes of sea cliffs.

A Comparative Study between the Parameter-Optimized Pacejka Model and Artificial Neural Network Model for Tire Force Estimation (타이어 힘 추정을 위한 파라미터 최적화 파제카 모델과 인공 신경망 모델 간의 비교 연구)

  • Cha, Hyunsoo;Kim, Jayu;Yi, Kyongsu;Park, Jaeyong
    • Journal of Auto-vehicle Safety Association
    • /
    • v.13 no.4
    • /
    • pp.33-38
    • /
    • 2021
  • This paper presents a comparative study between the parameter-optimized Pacejka model and artificial neural network model for the tire force estimation. The two different approaches are investigated and compared in this study. First, offline optimization is conducted based on Pacejka Magic Formula model to determine the proper parameter set for the minimization of tire force error between the model and test data set. Second, deep neural network model is used to fit the model to the tire test data set. The actual tire forces are measured using MTS Flat-Track test platform and the measurements are used as the reference tire data set. The focus of this study is on the applicability of machine learning technique to tire force estimation. It is shown via the regression results that the deep neural network model is more effective in describing the tire force than the parameter-optimized Pacejka model.

A Study on Status of Domestic Machine Tools Remanufacturing Technology Development and Improvement of Standard Process (국내 공작기계 재제조 기술개발 현황 및 표준공정 개선방안 연구)

  • Sung-woo Shin;Sang-Seok Seol;Young-Hwa Roh;Hyun-Su Kim;Min-Seong Park;Won-Jee Chung
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.27 no.2_2
    • /
    • pp.415-424
    • /
    • 2024
  • This study analyzes trends and characteristics of the machine tool remanufacturing industry and proposes a standard process that considers environmental impact assessment during the remanufacturing process. First, trends in remanufacturing and environmental regulations are reviewed. And the current status of the machine tool remanufacturing industry and cases of national R&D projects related to machine tools are analyzed. Machine tool remanufacturing has a high resource saving effect, and remanufacturing is carried out as a finished product rather than as a part. And the scope of remanufacturing work is very wide due to the performance improvement of the machine and the addition of features. In order for the machine tool remanufacturing industry to be competitive, it is necessary to create products with high added value. In addition, in order to respond to international environmental regulations, it is necessary to secure related data by conducting an environmental impact assessment together during remanufacturing.

Punching Shear Strength and Behavior of CFT Column to RC Flat Plate connections (CFT기둥-RC 무량판 접합부의 펀칭전단강도 및 거동)

  • Lee, Cheol Ho;Kim, Jin Won
    • Journal of Korean Society of Steel Construction
    • /
    • v.18 no.4
    • /
    • pp.491-502
    • /
    • 2006
  • This paper summarizes full-scale test results on CFT column-to- flat plate connections has gained wide acceptance subjected to gravity loading. CFT construction has gained wide acceptance in a relatively short time in domestic building construction practice due to its various structural and construction advantages. However, efficient details for CFT column to flat plate connections have not been proposed yet. Based on the strategies that maximize economical field construction, several connecting schemes were proposed and tested. Test results showed strength and connection stiffness exceeding those of R/C flat p late counterparts. A semi-analytical procedure is presented to model the behavior of CFT column-to-flat plate connections. The five parameters to model elastic to post-punching catenary action range are calibrated based on the limited test data of t to progressive collapse prevention design is also illustrated.

Strength of Unidirectional and Fabric Hybrid Laminate Joints (일방향-평직 복합재 혼합 적층판의 체결부 강도 연구)

  • An,Hyeon-Su;Sin,So-Yeong;Gwon,Jin-Hui;Choe,Jin-Ho;Lee,Sang-Gwan;Yang,Seung-Un
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.31 no.1
    • /
    • pp.25-33
    • /
    • 2003
  • The failure load and mode of the unidirectional and fabric hybrid composite laminate joints are studied by test and finite element analysis. Test is conducted for the specimens with nine various geometries under pin loading. Finite element analysis is performed considering the contact and friction effects between the pin and laminate by MSC/NASTRAN. Failure is estimated by Tsai-Wu and Yamada-Sun criteria on the characteristic curve. While the failure of the specimens with the small width and edge length are much affected by the joint geometry, the geometry effects are negligible in the specimens with large width and edge length. Finite element analysis based on the characteristic length method reasonably predicts the failure load and mode of the joints.

Complete genome sequence of Variovorax sp. PMC12, a plant growth-promoting bacterium conferring multiple stress resistance in plants (다양한 스트레스에 대한 식물의 내성을 유도하는 식물생육촉진 세균Variovorax sp. PMC12 균주의 유전체 염기서열)

  • Lee, Shin Ae;Kim, Hyeon Su;Kim, Yiseul;Sang, Mee Kyung;Song, Jaekyeong;Weon, Hang-Yeon
    • Korean Journal of Microbiology
    • /
    • v.54 no.4
    • /
    • pp.471-473
    • /
    • 2018
  • Variovorax sp. PMC12 is a rhizobacterium isolated from tomato rhizosphere and enhanced the plant resistance to abiotic and biotic stresses. Here we present the complete genome sequence of strain PMC12. The genome is comprised of two circular chromosomes harboring 5,873,297 bp and 1,141,940 bp, respectively. A total of 6,436 protein-coding genes, 9 rRNAs, 64 tRNAs, 3 ncRNAs, and 80 pseudogenes were identified. We found genes involved in 1-aminocyclopropane-1-carboxylate (ACC) deaminase, antioxidant activity, phosphate solubilization, and biosynthesis of proline and siderophore. Those genes may be related to capability of improving plant resistance to various stresses including salinity, cold temperature, and phytopathogen.

A New Method to Determine the Characteristic Lengths for the Failure Analysis of Composite Joint (복합재 체결부의 파손해석을 위한 새로운 특성길이 결정 방법)

  • 안현수;권진희;최진호
    • Composites Research
    • /
    • v.16 no.4
    • /
    • pp.10-21
    • /
    • 2003
  • Proposed is a new method to determine the characteristic lengths for the failure analysis of composite joint without experiments. New method uses the result that the stress distribution in the characteristic length specimens is linearly proportional to the applied load. The compressive characteristic lengths calculated by the present method are exactly same as the lengths obtained by the conventional method based on experiment. The new tensile characteristic length is defined using the strength of the notched laminate, while previous methods use the strength of the sound laminate. That change allows calculating the tensile characteristic length numerically without experiment like the compressive characteristic length. Finite element analyses are conducted by MSC/NASTRAN. The interface between the fastener and laminate is modeled by the contact surface element. The finite element results based on the new characteristic lengths show the excellent agreement with experimental results for the Graphite/Epoxy composite .joints.

Efficient Three Dimensional Analysis of High-Rise Shear Wall Building with Openings (개구부가 있는 고층 벽식 구조물의 효율적인 3차원 해석)

  • 김현수;남궁계홍;이동근
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.15 no.2
    • /
    • pp.351-365
    • /
    • 2002
  • The box system that is composed only of reinforced concrete walls and slabs we adopted on many high-rise apartment buildings recently constructed in Korea. And the framed structure with shear wall core that can effectively resist horizontal forces is frequently adopted for the structural system for high-rise building structures. In these structures, a shear wall may have one or more openings for functional reasons. It is necessary to use subdivided finite elements for accurate analysis of the shear wall with openings. But it would take significant amount of computational time and memory if the entire building structure is subdivided into a finer mesh. An efficient analysis method that can be used regardless of the number, size and location of openings is proposed in this study. The analysis method uses super element, substructure, matrix condensation technique and fictitious beam technique. Three-dimensional analyses of the box system and the framed structure with shear wall core having various types of openings were performed to verify the efficiency of the proposed method. It was confirmed that the proposed method have outstanding accuracy with drastically reduced time and computer memory from the analyses of example structures.

A Mid-late Maturing, Lodging-Tolerant and Waxi rice Variety "Baegseolchal" (벼 중만생 내병 다수성 신품종 "백설찰")

  • Ha, Ki-Yong;Nam, Jeong-Kwon;Ko, Jong-Cheol;Kim, Ki-Yeong;Ko, Jae-Kwon;Kim, Bo-Kyeong;Kim, Woo-Jae;Park, Hyun-Su;Sin, Woon-Chul;Kim, Chung-Kon
    • Korean Journal of Breeding Science
    • /
    • v.40 no.4
    • /
    • pp.452-455
    • /
    • 2008
  • "Baegseolchal" is a new Japonica type waxi rice variety developed and registered by the rice breeding team of Department of Rice and Winter Cereal Crop, NICS, RDA in 2007. This variety was derived from a across between Iksan435 which is highly tolerant to lodging and high yield potential, and Iksan425 which is resistance to multiple diseases. This variety has about 120 days of growth duration from transplanting to harvesting in middle, Honam and Youngnam plain of Korea. It is about 80 cm in culm length and tolerant to lodging. It is moderately resistant to blast, and resistance to bacterial blight pathogen races from $K_1$ to $K_3$, but susceptible to other major diseases and insect pests. "Baegseolchal" is midium-short grain and the milled rice exhibits high whiteness. The milled rice yield was about 5.37 MT/ha in local adaptability test for three years. "Baegseolchal" would be adaptable to plain areas south of the Chungnam Province of Korea.

Network Topology Discovery with Load Balancing for IoT Environment (IoT환경에서의 부하 균형을 이룬 네트워크 토폴로지 탐색)

  • Park, Hyunsu;Kim, Jinsoo;Park, Moosung;Jeon, Youngbae;Yoon, Jiwon
    • Journal of KIISE
    • /
    • v.44 no.10
    • /
    • pp.1071-1080
    • /
    • 2017
  • With today's complex networks, asset identification of network devices is becoming an important issue in management and security. Because these assets are connected to the network, it is also important to identify the network structure and to verify the location and connection status of each asset. This can be used to identify vulnerabilities in the network architecture and find solutions to minimize these vulnerabilities. However, in an IoT(Internet of Things) network with a small amount of resources, the Traceroute packets sent by the monitors may overload the IoT devices to determine the network structure. In this paper, we describe how we improved the existing the well-known double-tree algorithm to effectively reduce the load on the network of IoT devices. To balance the load, this paper proposes a new destination-matching algorithm and attempts to search for the path that does not overlap the current search path statistically. This balances the load on the network and additionally balances the monitor's resource usage.