• Title/Summary/Keyword: Structural-Mapping

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STRUCTURAL INCONSISTENCY OF INTERNAL REPRESENTATIONS OF COGNITIVE PROCESSES OF SOFTWARE REUSE (소프트웨어 재사용시의 인지과정상에 나타난 내적표상의 구조적 불일관성)

  • JinwooKim
    • Korean Journal of Cognitive Science
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    • v.4 no.2
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    • pp.201-262
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    • 1994
  • This paper portrays software reuse as analogical mapping and rule development.In order to explore the impacts of inconsistent representationS on the cognitive process of software resuse,it manipulates the intermal representations of source and target problems and their program solutions.The experimental design for this study has two factors:1)the degree of structural consistency between the source problem and the target problem,and2) the degree of structural consistency between the source problem and the source solution.A full-scale protocol analysis reveals that these two factors influence the cognitive process of mapping between source and target,the process of developing rules,and the interrelation between analogical mapping and rule development.The paper concludes by discussing the implications of these results for software reuse.

Autonomous Navigation System of an Unmanned Aerial Vehicle for Structural Inspection (무인 구조물 검사를 위한 자율 비행 시스템)

  • Jung, Sungwook;Choi, Duckyu;Song, Seungwon;Myung, Hyun
    • The Journal of Korea Robotics Society
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    • v.16 no.3
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    • pp.216-222
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    • 2021
  • Recently, various robots are being used for the purpose of structural inspection or safety diagnosis, and their needs are also rising rapidly. Among the structural inspection using robots, a lot of researches has recently been conducted on inspection of various facilities and structures using an unmanned aerial vehicle (UAV). However, since GNSS (Global Navigation Satellite System) signals cannot be received in an environment near or below structures, the operation of UAVs has been done manually. For a stable autonomous flight without GNSS signals, additional technologies are required. This paper proposes the autonomous flight system for structural inspection consisting of simultaneous localization and mapping (SLAM), path planning, and controls. The experiments were conducted on an actual large bridge to verify the feasibility of the system, and especially the performance of the proposed SLAM algorithm was compared through comparative analysis with the state-of-the-art algorithms.

Lithological and Structural Lineament Mapping from Landsat 8 OLI Images in Ras Kammouna Arid Area (Eastern Anti-Atlas, Morocco)

  • Es-Sabbar, Brahim;Essalhi, Mourad;Essalhi, Abdelhafid;Mhamdi, Hicham Si
    • Economic and Environmental Geology
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    • v.53 no.4
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    • pp.425-440
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    • 2020
  • The study area is located in the southern part of the M'aider Paleozoic basin in the Moroccan Eastern Anti-Atlas. It is an arid region, characterized by minimal vegetation cover, which can provide an ideal environment to apply remote sensing. In this study, remote sensing and field investigations were integrated for lithological and structural lineaments mapping. The Landsat 8 OLI data were processed in order to understand the role of lithology and geological structures in the distribution of mineral deposits in the study area. To achieve this purpose, the Color Composite (CC), the Principal Component Analysis (PCA) and Band Rationing transformation (BR) tests were performed. The results of remote sensing techniques coupled with field investigations have shown that the zones of high lineaments densities are highly correlated with the occurrences of barite mineralization. These findings depict a spatial relationship between structural lineaments and the mineralization distribution zones. Therefore, the barite and Iron oxides mineralization veins, which occur mainly in the Ras Kammouna district, seem to have a structural control. The methodological approach used in this study examining lithological mapping and lineament extractions can be used to explore mineral deposits in arid regions to a high degree of efficiency.

A return mapping algorithm for plane stress and degenerated shell plasticity

  • Liu, Z.;Al-Bermani, F.G.A.
    • Structural Engineering and Mechanics
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    • v.3 no.2
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    • pp.185-192
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    • 1995
  • A numerical algorithm for plane stress and shell elasto-plasticity is presented in this paper. The proposed strain decomposition (SD) algorithm is an elastic predictor/plastic corrector algorithm, and in the context of operator splitting, is a return mapping algorithm. However, it differs significantly from other return mapping algorithms in that only the necessary response functions are used without invoking their gradients, and the stress increment is updated only at the end of the time step. This makes the proposed SD algorithm more suitable for materials with complex yield surfaces and will guard against error accumulation during the time step. Comparative analyses of structural systems using the proposed strain decomposition (SD) algorithm and the iterative radial return (IRR) algorithm are presented. The results demonstrate the accuracy and usefulness of the proposed algorithm.

A spline finite element method on mapping

  • Ding, Hanshan;Shao, Rongguang;Ding, Dajun
    • Structural Engineering and Mechanics
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    • v.4 no.4
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    • pp.415-424
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    • 1996
  • This paper presents a newly suggested calculation method in which an arbitrary quadrilateral element with curved sides is transformed to a normal rectangular one by mapping of coordinates, then the two-dimensional spline is adopted to approach the displacement function of this element. Finally the solution can be obtained by the least-energy principle. Thereby, the application field of Spline Finite Element Method will be extended.

Ontology Mapping using Semantic Relationship Set of the WordNet (워드넷의 의미 관계 집합을 이용한 온톨로지 매핑)

  • Kwak, Jung-Ae;Yong, Hwan-Seung
    • Journal of KIISE:Databases
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    • v.36 no.6
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    • pp.466-475
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    • 2009
  • Considerable research in the field of ontology mapping has been done when information sharing and reuse becomes necessary by a variety of ontology development. Ontology mapping method consists of the lexical, structural, instance, and logical inference similarity computing. Lexical similarity computing used in most ontology mapping methods performs an ontology mapping by using the synonym set defined in the WordNet. In this paper, we define the Super Word Set including the hypenym, hyponym, holonym, and meronym set and propose an ontology mapping method using the Super Word Set. The results of experiments show that our method improves the performance by up to 12%, compared with previous ontology mapping method.

지리정보시스템을 위한 기존지도의 수치화에 관한 소개

  • 이현우
    • Computational Structural Engineering
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    • v.4 no.2
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    • pp.32-35
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    • 1991
  • 컴퓨터가 발명된 초기에는 대부분 수식계산 처리만이 목적이었으나, 현재는 계산처리의 용도는 물론이고, M.I.S.(Management Information System), 자료의 생성.보관.처리.관리, Computer Graphics에 널리 이용되고 있으며 A.T.(Artificial Interligence), N.N.(Neural Network)까지 활용, 발전되어가고 있는 추세이다. 본 글에서는 현재 국내에서 부상하고 있는 G.I.S.(Geographic Information System)의 소개와 G.I.S.에서 필요로 하는 기존지도의 수치화(Digital Mapping)의 방법과정을 설명하고자 한다.

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Correction of node mapping distortions using universal serendipity elements in dynamical problems

  • Kucukarslan, Semih;Demir, Ali
    • Structural Engineering and Mechanics
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    • v.40 no.2
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    • pp.245-256
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    • 2011
  • In this paper, the use of universal serendipity elements (USE) to eliminate node mapping distortions for dynamic problem is presented. Rectangular shaped elements for USE are being introduced by using a flexible master element with an adjustable edge node location. The shape functions of the universal serendipity formulation are used to derive the mass and damping matrices for the dynamic analyses. These matrices eliminate the node mapping distortion errors that occurs incase of the standard shape function formulations. The verification of new formulation will be tested and the errors encountered in the standard formulation will be studied for a dynamically loaded deep cantilever.

Automatic wall slant angle map generation using 3D point clouds

  • Kim, Jeongyun;Yun, Seungsang;Jung, Minwoo;Kim, Ayoung;Cho, Younggun
    • ETRI Journal
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    • v.43 no.4
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    • pp.594-602
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    • 2021
  • Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.