• Steel and Composite Structures
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• v.18 no.2
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• pp.325-344
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• 2015

Experimental tests on cellular beams with sinusoidal openings showed two main failure modes around the openings. They concern the formation of four plastic hinges and the local instability of the sinusoidal part of the opening. In parallel, numerical analysis of the sinusoidal part of the opening revealed the existence of an elastic rotational restraint between the intermediate web-post and the adjacent opening panel. The aim of the present study is to present an approach to quantify this rotational restraint. Through the response surface method, a mathematical model is proposed. It shows a great ability to predict the rotational restraint value as a function of the geometrical parameters of the opening. This model can be used to perform an extensive study with various geometrical configurations of beams with the aim to develop a reliable and realistic analytical model predicting the resistance of the sinusoidal openings.

• ETRI Journal
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• v.43 no.3
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• pp.511-523
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• 2021

The World Health Organization provides guidelines for managing the particulate matter (PM) level because a higher PM level represents a threat to human health. To manage the PM level, a procedure for measuring the PM value is first needed. We use a PM sensor that collects the PM level by laser-based light scattering (LLS) method because it is more cost effective than a beta attenuation monitor-based sensor or tapered element oscillating microbalance-based sensor. However, an LLS-based sensor has a higher probability of malfunctioning than the higher cost sensors. In this paper, we regard the overall malfunctioning, including strange value collection or missing collection data as anomalies, and we aim to detect anomalies for the maintenance of PM measuring sensors. We propose a novel architecture for solving the above aim that we call the hypothesis pruning generative adversarial network (HP-GAN). Through comparative experiments, we achieve AUROC and AUPRC values of 0.948 and 0.967, respectively, in the detection of anomalies in LLS-based PM measuring sensors. We conclude that our HP-GAN is a cutting-edge model for anomaly detection.

• International Journal of High-Rise Buildings
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• v.10 no.1
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• pp.55-62
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• 2021

The paper reports the result of a 2-year long research conducted by CTBUH on the design possibilities enabled by the Ropeless and Multidirectional elevator systems, investigating how such a significant innovation (or better to say revolution) in the vertical transportation could affect tall buildings first and cities then. The purpose of the study is to prefigure the adoption of ropeless and multidirectional cabins for tall buildings mobility, with the aim to overcome the evolutionary bottleneck of the high-rise building type due to the exclusively vertical direction of transport, which limited, over the years, the design possibilities in terms of height, shape and relations with the surrounding environment. CTBUH research team, together with professionals in the field and supporting academic advisors, developed a series of design considerations on plan organizations, dispatching alternatives and on the integration of horizontal direction in the circulation, with the aim of anticipating potential and criticality arising from the application of ropeless and multidirectional systems.

• Communications of the Korean Mathematical Society
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• v.37 no.1
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• pp.303-326
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• 2022

Our aim is to construct Hermite-type exponentially fitted interpolation formulas that use not only the pointwise values of an 𝜔-dependent function f but also the values of its first derivative at three unequally spaced nodes. The function f is of the form, f(x) = g₁(x) cos(𝜔x) + g₂(x) sin(𝜔x), x ∈ [a, b], where g₁ and g₂ are smooth enough to be well approximated by polynomials. To achieve such an aim, we first present Hermite-type exponentially fitted interpolation formulas I_N built on the foundation using N unequally spaced nodes. Then the coefficients of I_N are determined by solving a linear system, and some of the properties of these coefficients are obtained. When N is 2 or 3, some results are obtained with respect to the determinant of the coefficient matrix of the linear system which is associated with I_N. For N = 3, the errors for I_N are approached theoretically and they are compared numerically with the errors for other interpolation formulas.

• Communications of the Korean Mathematical Society
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• v.37 no.4
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• pp.957-967
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• 2022

Recently, Brešar's Jordan {g, h}-derivations have been investigated on triangular algebras. As a first aim of this paper, we extend this study to an interesting general context. Namely, we introduce the notion of Jordan 𝒢_n-derivations, with n ≥ 2, which is a natural generalization of Jordan {g, h}-derivations. Then, we study this notion on path algebras. We prove that, when n > 2, every Jordan 𝒢_n-derivation on a path algebra is a {g, h}-derivation. However, when n = 2, we give an example showing that this implication does not hold true in general. So, we characterize when it holds. As a second aim, we give a positive answer to a variant of Lvov-Kaplansky conjecture on path algebras. Namely, we show that the set of values of a multi-linear polynomial on a path algebra KE is either {0}, KE or the space spanned by paths of a length greater than or equal to 1.

• Nuclear Engineering and Technology
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• v.54 no.5
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• pp.1747-1753
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• 2022

Compton imaging is the main method for locating radioactive hot spots emitting high-energy gamma-ray photons. In particular, this imaging method is crucial when the photon energy is too high for coded-mask aperture imaging methods to be effective or when a large field of view is required. Reconstruction of the photon source requires advanced Compton event processing algorithms to determine the exact position of the source. In this study, we introduce a novel method based on a Deep Learning algorithm with a Convolutional Neural Network (CNN) to perform Compton imaging. This algorithm is trained on simulated data and tested on real data acquired with Caliste, a single planar CdTe pixelated detector. We show that performance in terms of source location accuracy is equivalent to state-of-the-art algorithms, while computation time is significantly reduced and sensitivity is improved by a factor of ~5 in the Caliste configuration.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.46-47
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• 2020

Now a days, Lots of research about 4th industrial revolution are progressing. Attempt of technologies on construction engineering field, such as construction management by drone, building equipments based on the IoT technology and etc., are continuously tried by government and private enterprises. Meanwhile, the application of advanced technologies on the military facilities should be reviewed cautiously, because of the national defense environment such as military security. Therefore, this study aim to understanding of present status of military facilities for introduction of 4th industrial revolution technology. To achieve the aim of the study, question investigation targeting working groups for military facility management is conducted.

• Educational Technology International
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• v.8 no.1
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• pp.1-16
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• 2007

The general aim of this article is to explicate what can be researched in our field based on the new understanding on the ability of human visual intelligence. To follow this aim, three key discussions were followed. The first is to explain why the human visual intelligence research is so important in our field and how it was neglected. The basic orientations of the research questions used in its framing and in answering are reviewed. After reviewing traditional research orientations, as the second discussion, alternative, more useful perspective for thinking about human visual intelligence is suggested. And the possibility of contribution for the future research in general is discussed. In doing so, human visual intelligence was defined in rather practically oriented ways rather than theoretically oriented ones. More practical perspectives were suggested. The third discussion is to show how to use the alternative perspectives of human visual intelligence in the areas of educational technology research. It was hoped that the article lays out conceptual groundwork for generation of educational technology research frameworks which can be used for the research conduct, reproduction and sharing by adopting practically oriented views on human visual intelligence as a new territory of educational technology research.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.209-212
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• 2011

Selection of finishing materials in the design stage is an important management factor in terms of use safety and satisfaction, and work cost and process. However, selection of materials in the design stage is usually conducted without related guidelines or a set process, but depends on the experience of the architect or advice of materials company employees. Therefore, the aim of this study was to develop a finishing materials selection process that can be used by a architect. Materials selection related rules collected through interview with experts and five office building cases were used as knowledge. In addition, another aim of the study was to propose a prototype system interface for use in the field.

• Review of KIISC
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• v.34 no.2
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• pp.5-12
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• 2024

양자 컴퓨팅 환경을 대비한 암호 시스템에 대한 중요성이 대두되면서 국내외로 양자 내성 암호 시스템 표준 알고리즘을 선정하려는 노력이 이루어지고 있다. AIMer는 MPCitH 기반 영지식 증명 시스템인 BN++을 개선하고 대칭키 프리미티브기반의 일반향 함수 AIM2를 결합하여 만들어진 전자서명으로, 현재 NIST의 양자 내성 전자서명 추가 라운드 및 양자내성 암호 국가 공모전(KpqC) 2라운드를 진행 중인 알고리즘이다. 많은 양자 내성 암호 시스템이 격자 문제에 안전성을 기반하고 있는 것에 비해 AIMer 전자서명은 사용하는 대칭키 프리미티브 기반 일방향 함수 AIM2의 일방향성에 안전성을 기반하고 있으며, 성능적인 측면에서도 현재까지 선정된 NIST 표준 알고리즘 및 KpqC 2라운드 후보 알고리즘 내에서는 비격자 문제 기반 전자서명 중 공개키 크기와 서명 크기를 합쳤을 때 가장 작은 크기를 가지고 있다.