• Proceedings of the Computational Structural Engineering Institute Conference
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• 2001.10a
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• pp.277-284
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• 2001

Recently, with development of mechanics of materials, as pursuing the high speed of the ships, a demanding of composite construction which satisfies high strength and low weight at the same time is iner casing. A sandwich element is a type of composite construction, which is composed of thin, strong, stiff and relatively high density faces and a think, light, and weaker core material. As 2nd moment is increased by faces is separated from the neutral axis farther, a sandwich element is most effective light structural form. In this paper, the make a comparative study Aluminum Honeycomb Sandwich Panel(AHSP) and Aluminum Pyramid Sandwich Panel(APSP).

• Structural Engineering and Mechanics
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• v.50 no.4
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• pp.471-486
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• 2014

The number of explosive attacks on civilian structures has recently increased. Protection of structure subjected to blast load remains quite sophisticated to predict. The use of the pyramid cover system (PCS) to strengthen sandwich structures against a blast terror has great interests from engineering experts in structural retrofitting. The sandwich steel structure performance under the impact of blast wave effect is highlighted. A 3-D numerical model is proposed to study the PCS layer to strengthen sandwich steel structures using finite element analysis (FEA). Hexagonal core sandwich (XCS) steel panels are used to study structural retrofitting using the PCS layer. Field blast test is conducted. The study presents a comparison between the results obtained by both the field blast test and the FEA to validate the accuracy of the 3-D finite element model. The effects are expressed in terms of displacement-time history of the sandwich steel panels and pressure-time history effect on the sandwich steel panels as the explosive wave propagates. The results obtained by the field blast test have a good agreement with those obtained by the numerical model. The PCS layer improves the sandwich steel panel performance under impact of detonating different TNT explosive charges.

• Journal of Contemporary Eastern Asia
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• v.23 no.1
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• pp.58-82
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• 2024

Former South Korean President Moon Jae-in implemented a project called the Peace Initiative, which prioritized a "peaceful and prosperous Korean Peninsula" as the core national agenda and involved using a peace-based frame instead of a unification approach to address inter-Korean relations from a different perspective. This initiative was evaluated in this study using a revised version of the pyramid model to assess the input-output-result process underlying the project and determine whether it generated results that differed from those achieved by the previous administration. To these ends, this research compared Moon's key presidential speeches with those of his predecessor, Park Geun-hye, as input, news commentaries and responses from major players as output, and the trend of perceptional and attitudinal changes in public opinion as results. Although Moon failed to accomplish significant policy effects on inter-Korean relations because of geopolitical challenges and the transfer of power to the conservative party, the analysis revealed that the input, output, and partial results of inter-Korean dialogue reflect some progress.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.265-275
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• 2020

The burden of injury is widely considered to be very severe in our society. Nonetheless, we don't have enough data for injury surveillance. The objective of this research is to select and supplement CORE DATA for injury surveillance. For this purpose, this study had analyzed the literature such as the Quality Assessment Report about 'Causes of Death Statistics', 'Health Insurance Statistics' and 'Hospital Discharge Injury Surveillance' according to the six dimension of Statistics Quality. The analysis result is that 'Cause of Death Statistics' and 'Health Insurance Statistics' have the usefulness as the CORE DATA for injury surveillance. But there is a significant shortcoming in the Health Insurance Statistics, which is that there is a lack of the data about the external causes of injury. For supplementing the defect, this study proposes the system that the medical institutions should obligatorily report the external causes of injury when claim National Health Insurance Medical Care Expenses. As the results of this system, we can expect 'Establishing of Injury pyramid', 'Data Connecting with the National Pension' and 'Improving the Promptness of Injury Data'. And we expect the follow-up study for the realization of this system.

• Journal of the Korean Magnetic Resonance Society
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• v.14 no.2
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• pp.55-75
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• 2010

An ion-exchanged reaction of $MnCl_2$ with Al-incorporated solid core/mesoporous shell silica (AlSCMS) followed by calcinations generated manganese species, where average oxidation state of manganese ion is 3+, in the mesoporous materials. Dehydration results in the formation of $Mn^{2+}$ ion species, which can be characterized by electron spin resonance (ESR). The chemical environments of the manganese centers in Mn-AlSCMS were investigated by diffuse reflectance, UV-VIS and ESR spectroscopic methods. Upon drying at 323 K, part of manganese is oxidized to higher oxidation state ($Mn^{3+}$ and $Mn^{4+}$) and further increase in (average) oxidation state takes place upon calcinations at 823 K. It was found that the manganese species on the wall of the Mn-AlSCMS were transformed to tetrahedral $Mn^{3+}$ or $Mn^{4+}$ and further changed to square pyramid by additional coordination to water molecules upon hydration. The oxidized $Mn^{3+}$ or $Mn^{4+}$ species on the surfaces were reversibly reduced to $Mn^{2+}$ or $Mn^{3+}$ species or lower valances by thermal process. Mn(II) species I with a well resolved sextet was observed in calcined, hydrated Mn-AlSCMS, while Mn (II) species II with g = 5.1 and 3.2 observed in dehydrated Mn-AlSCMS. Both species I and II are considered to be non-framework Mn(II).

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.12
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• pp.1233-1240
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• 2010

In the flat panel display and semiconductor industries, the visual alignment system is considered as a core technology which determines the productivity of a manufacturing line. It consists of the vision system to extract the centroids of alignment marks and the stage control system to compensate the alignment error. In this paper, we develop a Kalman filter algorithm to estimate the alignment mark postures and propose a coarse-fine alignment control method which utilizes both original fine images and reduced coarse ones in the visual feedback. The error compensation trajectory for the distributed joint servos of the alignment stage is generated in terms of the inverse kinematic solution for the misalignment in task space. In constructing the estimation algorithm, the equation of motion for the alignment marks is given by using the forward kinematics of alignment stage. Secondly, the measurements for the alignment mark centroids are obtained from the reduced images by applying the geometric template matching. As a result, the proposed Kalman filter based coarse-fine alignment control method enables a considerable reduction of alignment time.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.31-37
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• 2001

License plate recognition system for an exclusive bus-lane is made of 5 core parts which are vehicle detection, image acquisition individual character extraction, character recognition and data transmission. Among them, the accuracy of license plate extraction can bring effect significantly to the accuracy of a whole system recognition rate also the more exact extraction of license plate is required in various weather and environment conditions. Therefore in this paper we propose a plat extraction algorithm that makes pyramid structure to reduced the extraction processing time binarizes plate's template region using adaptive thresholding extracts candidate region containing plate, and verifies a final region using plate character distribution characteristics among the candidates. Experimenal results were exactly extracted the license plate region by using proposed method to the image obtained in an exclusive bus-lane with various weather and environment conditions.

• Smart Structures and Systems
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• v.29 no.1
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• pp.195-206
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• 2022

Crack detection is essential for inspection of existing structures and crack segmentation based on deep learning is a significant solution. However, datasets are usually one of the key issues. When building a new dataset for deep learning, laborious and time-consuming annotation of a large number of crack images is an obstacle. The aim of this study is to develop an approach that can automatically select a small portion of the most informative crack images from a large pool in order to annotate them, not to label all crack images. An active learning method with difficulty learning mechanism for crack segmentation tasks is proposed. Experiments are carried out on a crack image dataset of a steel box girder, which contains 500 images of 320×320 size for training, 100 for validation, and 190 for testing. In active learning experiments, the 500 images for training are acted as unlabeled image. The acquisition function in our method is compared with traditional acquisition functions, i.e., Query-By-Committee (QBC), Entropy, and Core-set. Further, comparisons are made on four common segmentation networks: U-Net, DeepLabV3, Feature Pyramid Network (FPN), and PSPNet. The results show that when training occurs with 200 (40%) of the most informative crack images that are selected by our method, the four segmentation networks can achieve 92%-95% of the obtained performance when training takes place with 500 (100%) crack images. The acquisition function in our method shows more accurate measurements of informativeness for unlabeled crack images compared to the four traditional acquisition functions at most active learning stages. Our method can select the most informative images for annotation from many unlabeled crack images automatically and accurately. Additionally, the dataset built after selecting 40% of all crack images can support crack segmentation networks that perform more than 92% when all the images are used.

• Journal of the Korean Regional Science Association
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• v.15 no.2
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• pp.131-153
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• 1999

Since 1980's there have been two trends that obviously developed in the would -- economics globalization and urban internationalization. China, with is reform and opening-up policy and rapid economic growth, keeps pace with these two trends. The term "International City" has no putative standard or definition. If we make an analogue of urban functional hierarchy in the world with a pyramid, the International Citiesa are the few elites on its top. The highest level international cities can be called "World City" or "Global City". In today's new international division of labor, they are diversified leading cities with control capacity on a world scale, like New York, London, and Tokyo. The secondary international cities are either diversified cities with influence and regulative functions on multinational scale or specialized cities on politics, economics, culture, or other aspects with worldwide impact. Judged by different criteria, there is no city that is qualified as International City with the exception of Hong Kong, which was returned to the P.R. of China in 1997. Nevertheless, Some favorable conditions for the development of the international city still exist in China. This country is already the sixth largest economic entity in the world, and the second largest economic entity in the world, and the second largest one if GNP estimated by ppp. Furthermore its import and export value make up for 40% of its GNP, indicating that China is repidly merging into global economy. In this 1, 2 billion-population country, the difference of economic levels between urban and rural, coastal and inland regions is so big that a few metropolises in the coastal region have the possibilities and potentials to develop into international cities regardless of rather low GNP per capita of the whole country. This article will focus on analysis from several perspectives, such as the proportion of foreign trade values in GDP, the proportion of imports and exports by foreign funded enterprises in total foreign trade value; distribution of the 500 largest foreign-funded enterprises; distribution of the 500 enterprises with largest import and export values; distrigbution of foreign computer and telecom companies with offices in China; the number of outward flights per week and the international tourists; the value of foreign capital used in cities and so on. From this analysis, it is predicted that Chinese international cities will surely emergy from the eastern coastal regions and they must be the core cities of metropolitan interlocking regions that have been formed or in the process of forming. Those international cities will arise from south to north in turn : Hong Kong-Guangzhu, Shanghai, Beijing-Tianjin, and perhaps the last one is Dalian-Shenyang. The other side of this issue is that there is a long way for the coming international cities in China except Hong Kong. At least China and these core cities must continually devote to (1) improve the regional composition of foreign capital sources. (2) improve the composition of export commodities. (3) improve the investment environment (including hard and soft environment) to attract more transnational corporations to settle. (4) deepen the reform of state-owned enterprises and establish Chinese own transnational corporations to enter the world market.ons to enter the world market.

• Journal of The Korean Association For Science Education
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• v.33 no.5
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• pp.1041-1054
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• 2013

Big ideas are overarching principles that help students to build a holistic understanding of domain-specific knowledge and assimilate individual facts and theories. This study aims to design a standard-based integrated science curriculum framework based on Big Ideas. The core contents were extracted by analysing the 2009 National Science Standards curriculum of primary and middle schools. Four Big Ideas, 'diversity,' 'structure,' 'interaction,' and 'change,' were generated after the process of examination and categorization of core contents. The scientific facts, disciplinary concepts, and interdisciplinary concepts of every scientific domains included in each Big Idea are represented as a knowledge pyramid. Essential questions guiding the direction of curriculum design were proposed on each Big idea. Based on the framework, teaching modules for 'structure' were developed for grades 5~6.