• Steel and Composite Structures
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• v.34 no.6
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• pp.891-907
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• 2020

Many studies reveal that during destructive earthquakes, most of the structures enter the inelastic phase. The amount of hysteretic energy in a structure is considered as an important criterion in structure design and an important indicator for the degree of its damage or vulnerability. The hysteretic energy value wasted after the structure yields is the most important component of the energy equation that affects the structures system damage thereof. Controlling this value of energy leads to controlling the structure behavior. Here, for the first time, the hysteretic behavior and energy dissipation capacity are assessed at presence of elliptical braced resisting frames (ELBRFs), through an experimental study and numerical analysis of FEM. The ELBRFs are of lateral load systems, when located in the middle bay of the frame and connected properly to the beams and columns, in addition to improving the structural behavior, do not have the problem of architectural space in the bracing systems. The energy dissipation capacity is assessed in four frames of small single-story single-bay ELBRFs at ½ scale with different accessories, and compared with SMRF and X-bracing systems. The frames are analyzed through a nonlinear FEM and a quasi-static cyclic loading. The performance features here consist of hysteresis behavior, plasticity factor, energy dissipation, resistance and stiffness variation, shear strength and Von-Mises stress distribution. The test results indicate that the good behavior of the elliptical bracing resisting frame improves strength, stiffness, ductility and dissipated energy capacity in a significant manner.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.5
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• pp.293-301
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• 2014

It has been grown interests ot the convergence services about broadcasting and multicasting services such as Mobile IPTV. It needs the efficient scheduling and resource allocation algorithm because video contents have the large data. This paper proposes the resource allocation algorithm for the layered-encoded video coding in the multicasting services. Existing approaches only deal with the utility maximization in the current video frames. However, these algorithms have a problem for the Quality of Services(QoS) if the user's channel states are not good. We apply the delay constraint and find to maximize the utility values using the current content's frames and already assigned content's frames within the constraint periods. The performance of the proposed algorithm is evaluated by the higher layer transmission rates compared the existing algorithm and significantly improved for the QoS.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.897-905
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• 2022

Research for video key frame detection has been actively conducted in the fields of computer vision. Recently with the advances on deep learning techniques, performance of key frame detection has been improved, but the various type of video content and complicated background are still a problem for efficient learning. In this paper, we propose a novel method for key frame detection, witch utilizes contrastive learning and memory bank module. The proposed method trains the feature extracting network based on the difference between neighboring frames and frames from separate videos. Founded on the contrastive learning, the method saves and updates key frames in the memory bank, witch efficiently reduce redundancy from the video. Experimental results on video dataset show the effectiveness of the proposed method for key frame detection.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.2
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• pp.246-254
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• 2008

In this paper, a new efficient hidden node detection method is proposed to decide whether the RTS/CTS mechanism is necessary to resolve the hidden node problem for the data transmission of each node in infrastructure mode IEEE 802.11 wireless LANs. The nodes, for which the RTS/CTS mechanism is found to be not necessary by the hidden node detection method, can transmit their data frames without performing the RTS/CTS exchange. Only the nodes, for which the RTS/CTS mechanism is found to be necessary by the hidden node detection method, perform the RTS/CTS exchange before their data frame transmissions.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.234-235
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• 2018

The development of insulation,the most important factor, is slow. The curtain wall market is getting bigger as the bulidings are getting bigger, but the insulation of the window is getting a problem. In order to solve this problem, we want to develop the insulation block used in the window frames. We will examine the insulation effect by using the existing Azon insulation block and the thermal worm convex which is to be developed with Therm 7.4 program.

• Steel and Composite Structures
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• v.2 no.6
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• pp.411-428
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• 2002

Non-linear large-displacement elasto-plastic finite element analyses are used to propose design recommendations for the eaves bracket of a cold-formed steel portal frame. Owing to the thinness of the sheet steel used for the brackets, such a structural design problem is not trivial as the brackets need to be designed against failure through buckling; without availability of the finite element method, expensive laboratory testing would therefore be required. In this paper, the finite element method is firstly used to predict the plastic moment capacity of the eaves bracket. Parametric studies are then used to propose design recommendations for the eaves bracket against two potential buckling modes of failure: (1) buckling of the stiffened free-edge into one-half sine wave, (2) local plate buckling of the exposed triangular bracket area.The results of full-scale laboratory tests on selected geometries of eaves bracket demonstrate that the proposed design recommendations are conservative. The use of the finite element method in this way exploits modern computational techniques for an otherwise difficult structural design problem.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2002.10a
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• pp.255-262
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• 2002

In this paper, an improved multi-objective optimmum design method is proposed. And it is applied to steel frames under seismic loads. The multi-objective optimization problem is formulated with three optimality criteria, namely, minimum structural weight and maximum strain energy and stability. The Pareto curve can be obtained by performing the multi-objective optimization for multistory shear buildings. In order to efficiently solve the multi-objective optimization problem the decomposition method that separates both system-level and element-level is used. In addition, various techniques such as effective reanalysis technique with respect to intermediate variables and sensitivity analysis using an automatic differentiation (AD) we incorporated. Moreover, the relationship function among section properties induced from the profile is used in order to link system-level and element level. From the results of numerical investigation, it may be stated that the proposed method will lead to the more rational design compared with the conventional one.

• Journal of applied mathematics & informatics
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• v.23 no.1_2
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• pp.269-279
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• 2007

This paper describes a direct search method for a class of linearly constrained optimization problem. Through research we find it can be treated as an unconstrained optimization problem. And with the decrease of dimension of the variables need to be computed in the algorithms, the implementation of convergence to KKT points will be simplified to some extent. Convergence is shown under mild conditions which allow successive frames to be rotated, translated, and scaled relative to one another.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.808-810
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• 2018

Pedestrian tracking is a particular problem of object tracking, and an important component in various vision-based applications, such as autonomous cars or surveillance systems. After several years of development, pedestrian tracking in videos is still a challenging problem because of various visual properties of objects and surrounding environment. In this research, we propose a tracking-by-detection system for pedestrian tracking, which incorporates Convolutional Neural Network (CNN) and color information. Pedestrians in video frames are localized by a CNN, then detected pedestrians are assigned to their corresponding tracklets based on similarities in color distributions. The experimental results show that our system was able to overcome various difficulties to produce highly accurate tracking results.

• Journal of the Korean housing association
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• v.26 no.2
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• pp.103-110
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• 2015

Precast Concrete (PC) construction method can be the one that is suitable for long-life housing due to its merit in respect of maintenance and durability based on crack-free from mass production with indirect construction cost-saving-effect due to shortening construction period comparing to the conventional construction method, but it has the problem that causes the raise of direction construction costs. So, this study analyzed its economic feasibility of PC method whose maintenance and durability are excellent for underground parking lot of apartment house for accomplishing cost-saving long-life housing by applying the various structural system. In evaluation of unit module structural system, two-way PC system requires 10 to 28% more costs for frame work than RC rigid frames, and, one-way PC system 98~112%. Although it varies depending on the method, the costs are similar to RC rigid frame structure, provided a proper method is adopted. Also, Model 11, which was most economical in the evaluation, was applied to an real parking lot and about 2 to 6% of construction costs was reduced than RC rigid frames. This seems to be because, although PC system has a higher production cost, introduction of P.S (prestress) reduces member depth and, therefore, height, as well as the number of members per unit module.