• Title/Summary/Keyword: Mapping Analysis

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Image Fusion and Evaluation by using Mapping Satellite-1 Data

  • Huang, He;Hu, Yafei;Feng, Yi;Zhang, Meng;Song, DongSeob
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_2
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    • pp.593-599
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    • 2013
  • China's Mapping Satellite-1, developed by the China Aerospace Science and Technology Corporation (CASC), was launched in three years ago. The data from Mapping Satellite-1 are able to use for efficient surveying and geometric mapping application field. In this paper, we fuse the panchromatic and multispectral images of Changchun area, which are obtained from the Mapping Satellite-1, the one that is the Chinese first transmission-type three-dimensional mapping satellite. The four traditional image fusion methods, which are HPF, Mod.IHS, Panshar and wavelet transform, were used to approach for effectively fusing Mapping Satellite-1 remote sensing data. Subsequently we assess the results with some commonly used methods, which are known a subjective qualitative evaluation and quantitative statistical analysis approach. Consequently, we found that the wavelet transform remote sensing image fusion is the optimal in the degree of distortion, the ability of performance of details and image information availability among four methods. To further understand the optimal methods to fuse Mapping Satellite-1 images, an additional study is necessary.

Application of Hyperion Hyperspectral Remote Sensing Data for Wildfire Fuel Mapping

  • Yoon, Yeo-Sang;Kim, Yong-Seung
    • Korean Journal of Remote Sensing
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    • v.23 no.1
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    • pp.21-32
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    • 2007
  • Fire fuel map is one of the most critical factors for planning and managing the fire hazard and risk. However, fuel mapping is extremely difficult because fuel properties vary at spatial scales, change depending on the seasonal situations and are affected by the surrounding environment. Remote sensing has potential to reduce the uncertainty in mapping fuels and offers the best approach for improving our abilities. Especially, Hyperspectral sensor have a great potential for mapping vegetation properties because of their high spectral resolution. The objective of this paper is to evaluate the potential of mapping fuel properties using Hyperion hyperspectral remote sensing data acquired in April, 2002. Fuel properties are divided into four broad categories: 1) fuel moisture, 2) fuel green live biomass, 3) fuel condition and 4) fuel types. Fuel moisture and fuel green biomass were assessed using canopy moisture, derived from the expression of liquid water in the reflectance spectrum of plants. Fuel condition was assessed using endmember fractions from spectral mixture analysis (SMA). Fuel types were classified by fuel models based on the results of SMA. Although Hyperion imagery included a lot of sensor noise and poor performance in liquid water band, the overall results showed that Hyperion imagery have good potential for wildfire fuel mapping.

A Study on the Mapping Guideline of IDEF for UMM Adaptation (UMM 적용을 위한 IDEF 매핑 방법에 대한 연구)

  • Shin Kitae;Park Chankwon;Sim Eoksu;Kim Eungab
    • Korean Management Science Review
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    • v.21 no.2
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    • pp.61-77
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    • 2004
  • As various methodologies for business process analysis and design have been conducted in many organizations by their own ways, those methodologies are not compatible each other. In order to reduce the cost of analysis for organizations. some mapping methods between different methodologies need to be developed. UMM(UN/CEFACT Modeling Methodology) that has an object-oriented point of view. can overcome the limits of existing bottom-up approaches and make it reasonable. It also simplifies the business and administrative procedures. IDEF( Integrated Definition Language) with a structural point of view that has been widely used as a system analysis and design method, needs to be mapped to UMM in order to reuse the existing IDEF models. In this study, we propose a guideline that deals with procedures of utilizing IDEF models from which we want to derive the UMM models for developing an electronic commerce system including electronic documents exchange. By comparing IDEF and UMM, we analyze the differences between those two methodologies. Based on these differences. we suggest the basic strategies for mapping method from IDEF to UMM. We also propose a mapping guideline that can make UMM results from the modeling results of IDEF. We can take an advantage of the existing IDEF analysis design results when we adopt UMM methodology for electronic business system. Many analysts who are familiar with the IDEF methodology can develop UMM work-flow by utilizing their existing results and skills.

An algorithm to infer the central location of a solenoid coil for the mapping process based on harmonic analysis (조화해석 기반의 맵핑을 위한 솔레노이드 코일의 중심위치 추론 알고리즘)

  • Lee, Woo-Seung;Ahn, Min-Cheol;Hahn, Seung-Yong;Ko, Tae-Kuk
    • Progress in Superconductivity and Cryogenics
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    • v.14 no.1
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    • pp.14-19
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    • 2012
  • Shimming, active and/or passive, is indispensable for most MR (magnetic resonance) magnets where homogeneous magnetic fields are required within target spaces. Generally, shimming consists of two steps, field mapping and correcting of fields, and they are recursively repeated until the target field homogeneity is reached. Thus, accuracy of the field mapping is crucial for fast and efficient shimming of MR magnets. For an accurate shimming, a "magnetic" center, which is a mathematical origin for harmonic analysis, must be carefully defined, Although the magnetic center is in general identical to the physical center of a magnet, it is not rare that both centers are different particularly in HTS (high temperature superconducting) magnets of which harmonic field errors, especially high orders, are significantly dependent on a location of the magnetic center. This paper presents a new algorithm, based on a field mapping theory with harmonic analysis, to define the best magnetic center of an MR magnet in terms of minimization of pre-shimming field errors. And the proposed algorithm is tested with simulation under gaussian noise environment.

Reliability-based design optimization using reliability mapping functions

  • Zhao, Weitao;Shi, Xueyan;Tang, Kai
    • Structural Engineering and Mechanics
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    • v.62 no.2
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    • pp.125-138
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    • 2017
  • Reliability-based design optimization (RBDO) is a powerful tool for design optimization when considering probabilistic characteristics of design variables. However, it is often computationally intensive because of the coupling of reliability analysis and cost minimization. In this study, the concept of reliability mapping function is defined based on the relationship between the reliability index obtained by using the mean value first order reliability method and the failure probability obtained by using an improved response surface method. Double-loop involved in the classical RBDO can be converted into single-loop by using the reliability mapping function. Since the computational effort of the mean value first order reliability method is minimal, RBDO by using reliability mapping functions should be highly efficient. Engineering examples are given to demonstrate the efficiency and accuracy of the proposed method. Numerical results indicated that the proposed method has the similar accuracy as Monte Carlo simulation, and it can obviously reduce the computational effort.

Research on Disaster and Fire Response Capability and Hazard Analysis Using Basic Mapping Method (Mapping을 이용한 소방방재력 및 재해취약성의 연구)

  • Wang, Soon-Joo;Baek, Min-Ho
    • Journal of the Society of Disaster Information
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    • v.3 no.1
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    • pp.69-86
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    • 2007
  • The fire department has one of the most important role as public resources of response to disasters in the aspect of supply and the adequate distribution of resources of response is essential, but the distribution of the response capability to disaster of fire department does not reflect the regional hazard vulnerability and hazard risks. Researchers performed database process with simple mapping based on the regional fire disaster response capability and the regional hazard vulnerability and hazard risks. The cities and towns are divided to four types each, total eight types and relative threat ratios are extracted from every type. The fire disaster response capability was extracted from number of firemen and fire vehicles in defined region. The distribution of the fire disaster response capability was inadequate and not matching to relative threat especially in small cities and some types of towns. The regional relative threat and resources should be analyzed by more delicate mapping and software development in the future.

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HALPERN'S ITERATION FOR APPROXIMATING FIXED POINTS OF A NEW CLASS OF ENRICHED NONSPREDING-TYPE MAPPINGS IN HILBERT SPACES WITH APPLICATIONS TO MINIMAX INEQUALITY PROBLEM

  • Imo Kalu Agwu;Godwin Amechi Okeke;Hallowed Oluwadara Olaoluwa;Jong Kyu Kim
    • Nonlinear Functional Analysis and Applications
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    • v.29 no.3
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    • pp.673-710
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    • 2024
  • In this paper, we propose a modified Halpern's iterative scheme developed from a sequence of a new class of enriched nonspreading mappings and an enriched nonexpansive mapping in the setup of a real Hilbert space. Moreover, we prove strong convergence theorem of the proposed method under mild conditions on the control parameters. Also, we obtain some basic properties of our new class of enriched nonspreading mappings.

A Study on Effects of the Concept Mapping for Biology Learning (생물학습에 개념도를 이용한 효과에 관한 연구)

  • Song, Whan-Sung;Kim, Jin-Tae;Hur, Chin-Hyu
    • Journal of The Korean Association For Science Education
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    • v.19 no.3
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    • pp.479-486
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    • 1999
  • This study was to inquire the effectiveness of concept mapping on the learning of biology concept. In this study the achivement acquired by the students in the classes of individual concept mapping and cooperative concept mapping were compared with those of traditional lecture on "photosynthesis and plant respiration". The concept mapping teaching methods, by individuals and groups. were more effective than traditional one. The results of analysis of covariance (ANCOVA) showed that these difference were statistically significant; individual concept mapping was more effective than traditional class result(p<.008). Also the cooperative concept mapping was effective than traditional class result(p<.0001). And the cooperative concept mapping was more effective than the individual one(p<.04). So that cooperative concept mapping is the most effective method in biology class.

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Domain Mapping using Nonlinear Finite Element Formulation

  • Patro, Tangudu Srinivas;Voruganti, Hari K.;Dasgupta, Bhaskar;Basu, Sumit
    • International Journal of CAD/CAM
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    • v.8 no.1
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    • pp.29-36
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    • 2009
  • Domain mapping is a bijective transformation of one domain to another, usually from a complicated general domain to a chosen convex domain. This is directly useful in many application problems like shape modeling, morphing, texture mapping, shape matching, remeshing, path planning etc. A new approach considering the domain as made up of structural elements, like membranes or trusses, is developed and implemented using the nonlinear finite element formulation. The mapping is performed in two stages, boundary mapping and inside mapping. The boundary of the 3-D domain is mapped to the surface of a convex domain (in this case, a sphere) in the first stage and then the displacement/distortion of this boundary is used as boundary conditions for mapping the interior of the domain in the second stage. This is a general method and it develops a bijective mapping in all cases with judicious choice of material properties and finite element analysis. The consistent global parameterization produced by this method for an arbitrary genus zero closed surface is useful in shape modeling. Results are convincing to accept this finite element structural approach for domain mapping as a good method for many purposes.

Three Dimensional Finite Element Inverse Analysis of Rectangular Cup and S-Rail Forming Processes using a Direct Mesh Mapping Method (직접 격자 사상법을 이용한 직사각컵 및 S-Rail 성형공정의 3차원 유한요소 역해석)

  • Kim S. H.;Huh H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2001.10a
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    • pp.81-84
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    • 2001
  • An inverse finite element approach is employed for more capability to design the optimum blank shape from the desired final shape with small amount of computation time and effort. In some drawing or stamping simulation with inverse method, it is difficult to apply inverse scheme due to the large aspect ratio or steep vertical angle of inclination. The reason is that initial guesses are hard to make out with present method for those cases. In this paper, a direct mesh marring scheme to generate initial guess on the sliding constraint surface described by finite element patches is suggested for one step inverse analysis to calculate initial blank shape. Radial type mapping is adopted for the simulation of rectangular cup drawing process with large aspect ratio and parallel type mapping for the simulation of S-Rail forming process with steep vertical angle of inclination.

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