• Journal of Institute of Control, Robotics and Systems
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• v.20 no.3
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• pp.372-379
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• 2014

This paper surveys past and state-of-the-art SLAM technologies. The standard methods for solving the SLAM problem are the Kalman filter, particle filter, graph, and bundle adjustment-based methods. Kalman filters such as EKF (Extended Kalman Filter) and UKF (Unscented Kalman Filter) have provided successful results for estimating the state of nonlinear systems and integrating various sensor information. However, traditional EKF-based methods suffer from the increase of computation burden as the number of features increases. To cope with this problem, particle filter-based SLAM approaches such as FastSLAM have been widely used. While particle filter-based methods can deal with a large number of features, the computation time still increases as the map grows. Graph-based SLAM methods have recently received considerable attention, and they can provide successful real-time SLAM results in large urban environments.

• Magazine of the Korea Concrete Institute
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• v.17 no.5 s.88
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• pp.16-20
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• 2005

• Wind and Structures
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• v.22 no.1
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• pp.1-16
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• 2016

The paper presents the state-of-the-art in aerodynamic performance of the modern horizontal axis wind turbine. The study examines the different complexities involved with wind turbine blade aerodynamic performance in open atmosphere and turbine wakes, and highlights the issues which require further investigations. Additionally, the latest concept of smart blades and frequently used wind turbine design analysis tools have also been discussed. The investigation made through this literature survey shows significant progress towards wind turbine aerodynamic performance improvements in general. However, still there are several parameters whose behavior and specific role in regulating the performance of the blades is yet to be elucidated clearly; in particular, the wind turbulence, rotational effects, coupled effect of turbulence and rotation, extreme wind events, formation and life time of the wakes.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1204-1209
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• 2008

Design is important in the IT, digital appliance, and auto industries. Aesthetic and art images are being applied for better design satisfaction of the products. Various artistic image patterns are used to satisfy demand of design, but it takes much lead-time and effort to implement them for making dies and molds. In this paper, a hybrid reverse engineering method generating accurate 3D engraving models from 2D art images is proposed through image processing, 3D reconstruction, and NURBS interpolation methods. In order to generate the 3D model from the 2D artistic image, cloud points with z-depth are extracted according to intensity values of the image. An adaptive median filter and harmonic filter are used to obtain the intensity values accurately. NURBS surfaces are generated through the interpolation of the cloud points. Performance of the developed system is to be confirmed through the realization of Mona Lisa and Golden Gate Bridge.

• Journal of the Microelectronics and Packaging Society
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• v.24 no.1
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• pp.35-43
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• 2017

The three-dimensional integrated circuit (3D-IC) is a general trend for the miniaturized and high-performance electronic devices. The through-silicon-via (TSV) is the advanced interconnection method to achieve 3D integration, which uses vertical metal via through silicon substrate. However, the TSV based 3D-IC undergoes severe thermo-mechanical stress due to the CTE (coefficient of thermal expansion) mismatch between via and silicon. The thermo-mechanical stress induces mechanical failure on silicon and silicon-via interface, which reduces the device reliability. In this paper, the thermo-mechanical reliability of TSV based 3D-IC is reviewed in terms of mechanical fracture, heat conduction, and material characteristic. Furthermore, the state of the art via-level and package-level design techniques are introduced to improve the reliability of TSV based 3D-IC.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.17 no.1
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• pp.41-45
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• 2007

ART DECO is a suitable for the rational style and the variation in modeling techniques of artistic revival. At present, production using CAD & CAM by software have great potential adaptation in the industrial arts since it accomplishs the understanding of the plan and promote as realization of automation with rapid and accurate results. Until a recent date, geometrical, abstract mode was discovered through the advanced development, with the tendency of mechanical modification. This paper attempts to practice in accordance with liberal form's fascinating variety from above formative style the application of engineering science. As follows presenting the drawing and 3D MODELING/DATA accordingly it carries out the 3D shapes and techniques by CAD & CAM.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.310-317
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• 2022

The mass attenuation coefficient is the primary physical parameter to model narrow beam gamma-ray attenuation. A new machine learning based approach is proposed to model gamma-ray shielding behavior of composites alternative to theoretical calculations. Two fuzzy logic algorithms and a neural network algorithm were trained and tested with different mixture ratios of vanadium slag/epoxy resin/antimony in the 0.05 MeV-2 MeV energy range. Two of the algorithms showed excellent agreement with testing data after optimizing adjustable parameters, with root mean squared error (RMSE) values down to 0.0001. Those results are remarkable because mass attenuation coefficients are often presented with four significant figures. Different training data sizes were tried to determine the least number of data points required to train sufficient models. Data set size more than 1000 is seen to be required to model in above 0.05 MeV energy. Below this energy, more data points with finer energy resolution might be required. Neuro-fuzzy models were three times faster to train than neural network models, while neural network models depicted low RMSE. Fuzzy logic algorithms are overlooked in complex function approximation, yet grid partitioned fuzzy algorithms showed excellent calculation efficiency and good convergence in predicting mass attenuation coefficient.

• The Journal of Art Theory & Practice
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• no.2
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• pp.75-120
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• 2004

Studies on western art in Korea has been caught in a dilemma that they could deal with only those things which had been arranged according to their 'historical generalization' in their contexts because of the bounds of time and space. It is not trivial that such conditions affect art studies in Korea. Access to the original texts and to their contexts of production is so restricted that the studies on them are prone to he superficial. And it is not independent on the politics of Korean art scene. Such factors are on the background of Korean art's excessive 'assimilation or accordance' with western art. The domestic studies on western art history and art theory have failed to notice the differences in context and Korean art has simply mediated or reproduced the restricted information by those studies. Also the studies on western art in Korea have been made use of as a justifying method of one's own academic domains. In such situations we should lead the studies on western art history and western art theory to a more reflective direction and confirm that the studies should not have any privileges of the realities. And we should try to reform a scholarship which participates in our life and existence. The field of domestic studies on western art history and western art theory should free itself from the invention of objectivity or the neutrality of mechanical reading and turn its eyes to the realities of life where events happens. Constantly suggesting which way Korean art and world art should go has to be the field's new coordinates.

• Biomaterials and Biomechanics in Bioengineering
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• v.2 no.3
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• pp.185-196
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• 2015

Titanium (Ti) based alloys are widely used in biomedical implants due to their low density, excellent corrosion resistance and good biocompatibilities. In recent years, growing interest in sever plastic deformation (SPD) has stimulated research and development on the techniques to attain refining of the grain size to the submicrometer or even nanometer level. The mechanical and wear properties determining the application of Ti in medicine may be improved via SPD. High pressure torsion (HPT) technique is one of the approaches available for improving the mechanical and wear properties of biomedical Ti materials. Accordingly, this article is designed to examine most recent state of the art scientific works related to the developments in mechanical properties and wear resistance of biomedical Ti materials processed by HPT. A comprehensive review in this area is systematically presented.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.75-75
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• 2012

This presentation will focus on computational materials research carried out across length scales. Examples will be presented that illustrate the way in which state-of-the-art quantum mechanical calculations and atomistic simulations can be applied to explain experimental data, design new structures, determine mechanisms, and enable new investigations. In particular, the presentation will present key findings from an integrated experimental and computational investigation of the tribological properties of polytetrafluoroethylene and its composites and predictions regarding the mechanical and tribological properties of inorganic nanostructured materials.