• Journal of The Korean Association For Science Education
• /
• v.35 no.5
• /
• pp.829-840
• /
• 2015

In this study, we analyzed the teaching practices of science teachers using smart technologies and investigated their difficulties in implementing smart education and their educational needs. We also studied their opinions on the application of smart technologies in science education. The participants were seven science teachers who participated in the smart education study group of a science teacher association in Seoul. We elaborated on the characteristics of smart education in science education during comprehensive analyses of instructional materials used in science classes and the initial interviews. We then analyzed the second interviews by categorizing their responses inductively. All the science teachers used the 'instant access as needed', but their interactions, simply answering students' questions, were found to be at a low level. They did not effectively use the 'collaborative interaction with SNS or wiki-based service' for the support for interactive learning. While most collected learning results of their students and provided feedback in the aspect of 'individualization according to leaner level', they were not aware of 'context, situation, and location of learners' in smart education. While all the teachers extended learning opportunities by using learning resources widely in smart education, most were not aware of 'support for self-directed learning'. Most teachers believed that smart education should be developed to help students learn interactively and in a self-directed manner. They also provided many opinions on teacher training programs and environmental support for smart education. Based on the results, some considerations for implementing smart education in science instructions effectively are discussed.

• Journal of IKEEE
• /
• v.24 no.2
• /
• pp.378-384
• /
• 2020

The location information of the people or mover is essential for supporting various smart mobility services in railway stations which are mostly underground. For this purpose, a smart braille block is proposed to identify the location of the mover of the people. In this paper, the frequency characteristics of each material of the upper and lower parts of the braille block are analyzed to examine the appropriate materials for railway history. In addition, the guidelines for actual manufacturing were derived by analyzing the separation distance between two RF sensors in the smart braille block. As a result of analysis through the characteristic analysis in this paper, after selecting the material suitable for the construction site when the smart braille block is applied, the performance change of the RF system, especially the antenna that greatly influences the RF performance, must be reviewed in advance. It seems to have to be applied after checking through.

• Journal of Internet Computing and Services
• /
• v.23 no.3
• /
• pp.57-65
• /
• 2022

International attempts to smuggle narcotics and explosives using ship or aircraft cargoes are on the rise. With the recent increase in the number of detection cases of narcotics and explosives in Korea, it is important to detect dangerous material (narcotics and explosives) through container searches at ports and airports, which are the main routes. This paper proposes a technique to detect dangerous material in cargo containers using the sampled output signal of ion mobility spectroscopy (IMS). The proposed technique estimates parameters such as a threshold, a window length, and a noise level for ion detection of the target dangerous material by using known materials in the initialization stage. The estimated parameters are used to detect the ions of the dangerous target material inside the containers. The proposed technique can be applied when the peak value of the IMS signal and the ion mobility are varying due to container environments.

• Korean Journal of Materials Research
• /
• v.9 no.6
• /
• pp.635-653
• /
• 1999

The present work considers work considers research strategies to address global warming. Specifically, this work considers the development of technologies of importance for the reduction of greenhouse gas emission and, especially, the materials that are critical to these technologies. It is argued that novel materials that are essential for the production of environmentally friendly energy may be developed through a special kind of engineering: interface engineering, rather than through classical bulk chemistry. Progress on the interface engineering requires to increase the present state of understanding on the local properties of materials interfaces and interfaces processes. This, consequently, requires coordinated international efforts in order to establish a strong background in the science of materials interfaces. This paper considers the impact of interfaces, such as surfaces and grain boundaries, on the functional properties of materials. This work provides evidence that interfaces exhibit outstanding properties that are not displayed by the bulk phase. It is shown that the local interface chemistry and structure and entirely different than those of the bulk phase. In consequence the transport of both charge and matter along and across interfaces, that is so important for energy conversion, is different than that in the bulk. Despite that the thickness of interfaces is of an order to a nanometer, their impact on materials properties is substantial and, in many cases, controlling. This leads to the conclusion that the development of novel materials with desired properties for specific industrial applications will be possible through controlled interface chemistry. Specifically, this will concern materials of importance for energy conversion and environmental monitoring. Therefore, there is a need to increase the present state of understanding of the local properties of materials interfaces and the relationship between interfaces and the functional properties of materials. In order to accomplish this task coordinated international efforts of specialized research centres are required. These efforts are specifically urgent regarding the development of materials of importance for the reduction of greenhouse gases. Success of research in this area depends critically on financial support that can be provided for projects on materials of importance for a sustainable environment, and these must be considered priorities for all of the global economies. The authors of the present work represent an international research group economies. The authors of the present work represent an international research group that has entered into a collaboration on the development of the materials that are critical for the reduction of greenhouse gas emissions.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.11
• /
• pp.123-128
• /
• 2018

When the injection molding system molds some plastic products, defective product rate will be increased if plastic materials have some excessive moisture content. Therefore, it is very important to control the dehumidification and drying of plastic material. Since the moisture content of the plastic material may change from time to time depending on the material and the molding process, it is necessary to observe the change in real time and maintain a constant moisture content. To solve these problems, I proposed a smart factory system model for plastic molding in this paper. In addition, I designed the interface module to be installed in the dehumidifying dryer which is the core of this process. In addition to this, performance tests were conducted to check the effectiveness and the results were verified as valid.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.31 no.5
• /
• pp.275-282
• /
• 2018

Using isogeometric analysis(IGA) gives more accurate results for higher order mode in eigenvalue problem than using the finite element method(FEM). This is because the FEM has $C^0$ continuity between elements, whereas IGA guarantee $C^{P-1}$ between elements for p-th order basis functions. In this paper, a mode based reduced model is constructed by using IGA and dynamic behavior analysis is performed using this advantage. Craig-Bampton(CB) method is applied to construct the reduced model. Several numerical examples were performed to compare the eigenvalue analysis results for various order of element basis function by applying the IGA and FEM to simple rod analysis. We have confirmed that numerical error increases in the higher order mode as the continuity between elements decreases in the IGA by allowing internal knots multiplicity. The accuracy of the solution can be improved by using the IGA with high inter-element continuity when high-frequency external force acts on the reduced model for dynamic behavior analysis.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.36 no.6
• /
• pp.391-398
• /
• 2023

In this paper, a penalized maximum likelihood estimation (PMLE) method that applies a penalty to increase the accuracy of a basis-screening-based Kriging model (BSKM) is introduced. The maximum order and set of basis functions used in the BSKM are determined according to their importance. In this regard, the cross-validation error (CVE) for the basis functions is employed as an indicator of importance. When constructing the Kriging model (KM), the maximum order of basis functions is determined, the importance of each basis function is evaluated according to the corresponding maximum order, and finally the optimal set of basis functions is determined. This optimal set is created by adding basis functions one by one in order of importance until the CVE of the KM is minimized. In this process, the KM must be generated repeatedly. Simultaneously, hyper-parameters representing correlations between datasets must be calculated through the maximum likelihood evaluation method. Given that the optimal set of basis functions depends on such hyper-parameters, it has a significant impact on the accuracy of the KM. The PMLE method is applied to accurately calculate hyper-parameters. It was confirmed that the accuracy of a BSKM can be improved by applying it to Branin-Hoo problem.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.6
• /
• pp.201-209
• /
• 2019

This study aimed to find out the morphological evolution process for future vision of world smart city. The contents and methods of study was divided and compared by 4 continents and Korea focused on the convergence numbers of ET and IT in smart city and did correlation analysis and analysis of convergence number in device/technology by periods. The analysis materials were 32 cases of smart city in whole world and times were 4 periods. The results of study were listed below. First, the smart city in period 1 was morphological evolutions preserved environment and kept natural form of existing city and filled up device/technology. Second, the smart city in period 2 was morphological evolutions through ET-centric development. Third, the smart city in period 3 was morphological evolutions through advancement of ET and device/technology related to production of energy. Forth, the smart city in period 4 was morphological evolutions fusing, dissipating and creating new ET and IT through the advancement process of all technologies. In conclusion, morphological evolution of smart city will change systematic city structure of convergence form, not each discriminating development between ET and IT, and the forming of smart city will be evolved by repetitive convergence process of technologies continually.

• Composites Research
• /
• v.16 no.4
• /
• pp.59-65
• /
• 2003

FEM analysis of the smart skin structure, and application of the sandwich structures investigated. The honeycomb manufactures only provide stillness of thickness direction and transverse shear modulus. Although these are dominant mechanical properties. the other mechanical properties are needed in FEM analysis. Hence, this work shows procedures of obtaining those mechanical properties. Honeycomb material was assumed to be ar, isotropic material and properties are estimated by its dominant honeycomb properties. The other honeycomb properties are then obtained by mechanical properties of Nomex. Buckling test and three point bending test were simulated by ABAQUS. Both the shell and solid element models were used. The results were compared with experimental results and analytical approaches. They showed good agreements. This study shows a guideline of FEM analysis of smart skin structure using commercial a FEM package.

• The Journal of the Korea Contents Association
• /
• v.12 no.7
• /
• pp.483-496
• /
• 2012

We explored the method of teaching and learning of 3D based software which is useful for 3D content's authoring and utilization as a suitable tool of teaching and learning for 'Smart Learning' environments. To investigate the possibility of application in the field, we applied this software to 'Smart School' temporally. After that, we conducted a survey of learning satisfaction of students, and assessed the possibility of application in the field via one-on-one talk with teachers. As a result, we drew a positive conclusion for the applications, which are instructional medias in various subject areas, presenting materials for motivation, a tool for individual or cooperative presentation, and instructional medias for underachieving students or gifted students.