• 한국건설관리학회논문집
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• 제14권1호
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• pp.133-143
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• 2013

BIM과 건설사업관리(Construction Management; 이하 CM)는 건설정보를 통합 관리하고 신뢰성 있는 의사결정을 지원하는 수단이라는 점에서 그 성격이 유사하기 때문에 BIM은 CM에 효율적으로 활용할 수 있으나, CM 분야에서 BIM 도입은 미흡한 실정이다. 이 연구의 목적은 시공단계의 CM 업무에 BIM을 효과적으로 활용할 수 있도록 업무절차 모델 및 가이드를 제시하는 것이다. 문헌조사를 통해 BIM 기능을 BIM 전환설계, 모델 검토, 데이터 추출, 자동 견적, 4D 시뮬레이션, 도면 생성, 엔지니어링 분야 연계분석 등으로 정의하고, CM 업무와 프로세스를 분석하여 BIM의 적용이 가능한 CM 업무를 도출하였다. BIM 기능과 CM 업무 간 연관성 분석을 통해 기존의 업무절차를 BIM 기능과 연계하여 재구성하고, 사업 참여자별 역할을 재정립하여 BIM기반 CM 업무절차 모델을 개발하였다. 개발된 모델의 효용성을 향상시키고자 면담조사와 사례조사를 통해 사업 참여자들의 BIM 업무를 기술한 가이드를 작성하였다. 또한 BIM기반 CM 업무절차 모델의 활용성을 검증하기 위한 선행연구의 BIM 프로세스와 비교 분석하고 전문가를 대상으로 설문조사를 수행하였다. 이 연구는 CM 분야에서 BIM의 활용성을 높이는데 기여할 수 있다. 향후에는 사례적용을 통해 실무적 관점에서 모델을 평가할 필요가 있으며, BIM 도입으로 인한 CM 업무의 확대를 고려하여 지속적으로 BIM기반 CM 업무절차 모델을 업데이트할 필요가 있다.

• 대한간호학회지
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• 제35권1호
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• pp.16-26
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• 2005

Purpose: The purpose of this study was to explore the psychosocial adjustment process in adolescents with epilepsy in the context of Korean society and culture. Method: A grounded theory method was used for data collection and analysis. Participants for this study were 9 adolescents who regularly visited an epilepsy clinic in a university hospital. The data was collected through in-depth interviews during the period from November, 2002 to June, 2003. Data collection and analysis were performed simultaneously. Result: Twenty-three categories emerged including 'suffering', 'psychological stigma', and 'social isolation from one's peers'. Categories were divided into paradigms which consisted of conditions, actions/ interactions, and consequences. 'Reconstructing life' was the core category in this study. The theoretical scheme was described by organizing categories around the core category. Conclusion: This study provides a framework for the development of individualized nursing interventions to care for adolescents with epilepsy.

• International Journal of Precision Engineering and Manufacturing
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• 제1권1호
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• pp.146-151
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• 2000

The importance of shape reconstruction is increasing in many areas such as RPD(Rapid Product Development) and reverse engineering. Typical data in these areas are mainly classified as the shape data measured by a laser scanner and the data extracted from the CT image. The goal of this research is to realize three-dimensional shape construction by showing a possible way to analyze input image data and reconstruct the original shape. Two main steps of the reconstructing process are obtaining cross-section data from image processing and linking loops between one slice and the next. Objects reconstructed in this way are compared with other objects using a laser scanner and modelled by commercially available software. The technique is expected to be used in reverse engineering applications and the object modeling with automated process.

• 천문학회보
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• 제46권1호
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• pp.48.1-48.1
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• 2021

Gaussian process regression (GPR) is a powerful method used for model-independent analysis of cosmological observations. In GPR, it is important to decide an input mean function and hyperparameters that affect the reconstruction results. Depending on how the input mean function and hyperparameters are determined in the literature, I divide into four main applications for GPR and compare their results. In particular, a zero mean function is commonly used as an input mean function, which may be inappropriate for reconstructing cosmological observations such as the distance modulus. Using mock data based on Pantheon compilation of type Ia supernovae, I will point out the problem of using a zero input and suggest a new way to deal with the input mean function.

• 한국식생활문화학회지
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• 제34권3호
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• pp.325-333
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• 2019

This study was a qualitative investigation of the process of adaptation of nutrition education programs by marriage immigrant women who completed education programs for training of food citizen leaders. Focus group interviews of seven marriage immigrant women from Vietnam, China, Mongolia and Russia were conducted and analyzed based on the Normalization Process Theory (NPT). Participants were aware of the purpose of the education program (coherence) and their confidence in organizing and reconstructing the knowledge of nutrition was increased after education (reflexive monitoring). However, they had difficulties attending long-term education programs (cognitive participation) and overcoming language barriers (collective action). Although the program was beneficial for the participants in that they could apply acquired nutrition knowledge to their everyday life as food citizen leaders, the continuous monitoring and feed-back system (management), customized application, and consideration of personal and social factors need to be developed and facilitated. In addition, various programs targeting marriage immigrant women may increase economic independence of these women. The NPT proved beneficial in conceptualizing the barriers and facilitators to implementing nutrition education. The successful implementation of nutrition intervention needs special support to overcome barriers to cognitive participation and collective action.

• Current Optics and Photonics
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• 제5권3호
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• pp.322-328
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• 2021

In this paper, a pretreatment method for a matrix in convex optimization is proposed to optimize the spectral reconstruction process of a disordered dispersion spectrometer. Unlike the reconstruction process of traditional spectrometers using Fourier transforms, the reconstruction process of disordered dispersion spectrometers involves solving a large-scale matrix equation. However, since the matrices in the matrix equation are obtained through measurement, they contain uncertainties due to out of band signals, background noise, rounding errors, temperature variations and so on. It is difficult to solve such a matrix equation by using ordinary nonstationary iterative methods, owing to instability problems. Although the smoothing Tikhonov regularization approach has the ability to approximatively solve the matrix equation and reconstruct most simple spectral shapes, it still suffers the limitations of reconstructing complex and irregular spectral shapes that are commonly used to distinguish different elements of detected targets with mixed substances by characteristic spectral peaks. Therefore, we propose a special pretreatment method for a matrix in convex optimization, which has been proved to be useful for reducing the condition number of matrices in the equation. In comparison with the reconstructed spectra gotten by the previous ordinary iterative method, the spectra obtained by the pretreatment method show obvious accuracy.

• Nuclear Engineering and Technology
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• 제56권7호
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• pp.2806-2820
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• 2024

Accurate reconstruction of radiation field and path planning are very important for the safety of operators in the process of dismantling nuclear facilities. Based on radial basis function (RBF) interpolation algorithm, this paper discussed the application of inverse multiquadric radial basis Function (IMRBF) interpolation method to the reconstruction of gamma radiation field, and proved the feasibility of reconstructing a radiation field with multiple γ sources. The average relative errors of IMRBF interpolation results were 4.28% and 8.76%, respectively, for the experimental scenarios with single and double gamma sources. After comparing the consistency between the simulated scene and the experimental scene, IMRBF method and Cubic Spline method were respectively used to reconstruct the gamma radiation field by Geant4 simulation data. The results showed that the interpolation accuracy of IMRBF method was superior to that of Cubic Spline method. Further, more RBF interpolation algorithms were used to reconstruct the multi-γ source radiation field, and then the Probabilistic Roadmap (PRM) algorithm was used to optimize the human walking path in the radiation field reconstructed by different interpolation methods. The optimal paths in radiation fields generated by multiple interpolation methods were compared. The results herein contribute to a comprehensive understanding of RBF interpolation methods in reconstructing γ radiation fields and their application in optimizing paths in radiation environments. The insights may provide valuable information for decision-making in radiation protection during the decommissioning of nuclear facilities.

• 한국산업보건학회지
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• 제15권3호
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• pp.202-212
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• 2005

This study was aimed at rating the existing work environment noise components and alternatives in point of worker's view. To answer the purpose, AHP(Analytic Hierarchy Process) method is adopted in this research. Based on the AHP method, this research abstracts a mathematically rigorous noise components and alternative's weights and proven process for priority and decision-making. By reconstructing complex hearing conservation programs to a series of pair-wise comparisons, and then synthesizing the results, this study not only helps establishments of noise countermeasure, but also provides a clear rationale for noise alternatives. The result of this study is summarized as follows; 1) Job satisfaction index and noise identification index are 63, 56 respectively. 2) Noise level(15.7%), frequency(14.1%) and directivity(13.6%) are main reasons in worker's ground. 3) There are some difference between the estimation of worker's identification and that of work sites. 4) Low noise machine(14.7%), enclosure(13.2%) and shielding(9.6%) are chosen for noise protection method by workers. 5) Noise environment improvement should be focused on noise source rather than personal protection. 6) By the AHP method, noise source countermeasure have a key role at work environments.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.200-208
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• 2016

Compressed sensing is a signal processing technique for efficiently acquiring and reconstructing in an under-sampled (i.e., under Nyquist rate) representation. A block compressed sensing with projected Landweber (BCS-SPL) framework is most widely known, but, it has high computational complexity at decoder side. In this paper, by introducing adaptive exit criteria instead of fixed exit criteria to SPL framework, an effective fast algorithm is designed in such a way that it can utilize efficiently the sparsity property in DCT coefficients during the iterative thresholding process. Experimental results show that the proposed algorithm results in the significant reduction of the decoding time, while providing better visual qualities than conventional algorithm.

• 한국연소학회지
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• 제4권1호
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• pp.105-115
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• 1999

The structure of a non-axisymmetric propane diffusion flame was investigated. Tomographic reconstruction method to convert the line-integrated self-emission data of a fuel-rich diffusion flame with square cross-section was applied to get the spatially reconstructed emission data. Modified Shepp-Logan filter and concentric squares raster were chosen for reconstructing arbitrarily shaped object in this process. Spatially reconstructed emission data were then interpreted to several physical quantities, such as flame edge, FWHM, perimeter and 3-D flame temperature distribution. Necessary assumptions were discussed and the results were interpreted. In comparison with axisymmetric flame, flame edge was developed higher, and sooting region of upstream was broader than in this non-axisymmetric one. At some height, the flame was shrunk very rapidly and finally formed circular cross-section.