• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.165-170
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• 2019

According to the statistics of the Ministry of Land Transport and Transportation in 2018, the average annual average number of air traffic users for has increased by 5.07% for domestic flights and 8.84% for international flights. Korea is facing a steady rise in demand from foreign tourists due to the Korean Wave. At the same time, a new lifestyle that values the quality of life of individuals is taking root, along with the emergence of LCC, and Korean tourists' overseas tours are also increasing, so improvement and expansion of domestic airport passenger terminals is urgently needed. it is important to develop a structured airport infrastructure by making efficient and accurate forecasts of aviation demand. in this study, based on the Big Data, long-term domestic and international demand forecasts for urban airports were conducted.. Domestic flights will see a decrease in the number of airport passengers after 2028, and international flights will continue to increase. It is imperative to improve and expand passenger terminals at domestic airports.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.1-12
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• 2019

A dialog system becomes a new way of communication between human and computer. The dialog system takes human voice as an input, and gives a proper response in voice or perform an action. Although there are several well-known products of dialog system (e.g., Amazon Echo, Naver Wave), they commonly suffer from a problem of out-of-domain utterances. If it poorly detects out-of-domain utterances, then it will significantly harm the user satisfactory. There have been some studies aimed at solving this problem, but it is still necessary to study about this intensively. In this paper, we give an overview of the previous studies of out-of-domain detection in terms of three point of view: dataset, feature, and method. As there were relatively smaller studies of this topic due to the lack of datasets, we believe that the most important next research step is to construct and share a large dataset for dialog system, and thereafter try state-of-the-art techniques upon the dataset.

• Advances in Computational Design
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• v.4 no.1
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• pp.53-72
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• 2019

Safety measures for tower cranes are extremely important among the seismic countermeasures at high-rise building construction sites. In particular, the collapse of a tower crane from a high position is a very serious catastrophe. An example of such an accident due to an earthquake is the case of the Taipei 101 Building (the author was the project director), which occurred on March 31, 2002. Failure of the bolted joints of the tower-crane mast was the direct cause of the collapse. Therefore, it is necessary to design for this eventuality and to take the necessary measures on construction sites. This can only be done by understanding the precise dynamic behavior of mast joints during an earthquake. Consequently, we created a new hybrid-element model (using beam, shell, and solid elements) that not only expressed the detailed behavior of the site joints of a tower-crane mast during an earthquake but also suppressed any increase in the total calculation time and revealed its behavior through computer simulations. Using the proposed structural model and simulation method, effective information for designing safe joints during earthquakes can be provided by considering workability (control of the bolt pretension axial force and other factors) and less construction cost. Notably, this analysis showed that the joint behavior of the initial pretension axial force of a bolt is considerably reduced after the axial force of the bolt exceeds the yield strength. A maximum decrease of 50% in the initial pretension axial force under the El Centro N-S Wave ($v_{max}=100cm/s$) was observed. Furthermore, this method can be applied to analyze the seismic responses of general temporary structures in construction sites.

• Journal of Fashion Business
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• v.19 no.4
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• pp.135-152
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• 2015

The purpose of this study is to explore the role of deconstruction and creative destruction in Maison Margiela’s fashion design code, which has opened the door to a new wave of innovative design since 1988. Using a combination of theoretical analysis, precedent research, and a review of existing literature, five years of Maison Margiela's works (2010-2014) were evaluated. The analysis shows that Maison Margiela’s Design Code consists of the following key elements: Addition, Extension, Asymmetry, Elimination, Deconstruction, Complanation, and Inversion. Addition refers to act of attaching additional pieces of fabric or clothing on the existing piece. Extension refers to the act of extending the design elements, such as their position or features. Asymmetry means the irregular positioning of left-to right and front-to-back length and features. Deconstruction could be seen in intentionally frayed sleeves, open seams, and tears in the cloth. The element of Elimination was evident in the removal of key pieces of clothing such as a coat, pants, blouse, and a jacket. Complanation refers to the reversion to a two dimensional contemplation of the human form rather than the more obvious 3-dimensional form. Finally, Inversion was used by displaying an inner layer of clothing on the outside or exposing seams or zippers in a way that people are not accustomed to seeing. It also meant that the order of wearing clothes was sometimes inverted, so external layers would be worn within clothing that are traditionally underneath. Maison Margiela’s creations represented a break

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1052-1057
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• 2020

With the development of new ICT technology, smart keys for vehicles are terminals with ICT technology. Therefore, when the vehicle and the smart key communicate with RF, a cyber hacking attack is possible. Cyber-attacks on smart keys can pose a threat to vehicle theft and vehicle control. Therefore, it is necessary to study hacking attacks and vulnerabilities of smart keys for autonomous vehicles. In this paper, we analyze the cyber attack case of RF communication for vehicles and smart keys. In addition, a real RF cyber attack on the smart key is performed, and the vulnerability of radio wave replication in the same frequency band is found. In this paper, we analyze the vulnerability of RF communication between vehicles and smart keys, and propose a countermeasure against cyber security. In the future, plans to strengthen cyber attacks and security through the popularization of autonomous vehicles will become basic data to protect human and vehicle safety.

• Current Applied Physics
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• v.18 no.12
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• pp.1465-1472
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• 2018

The magnetic and optical properties of Ce-doped ZnO systems have been widely demonstrated, but the effects of different strains of Ce-doped ZnO systems remain unclear. To solve these problems, this study identified the effects of biaxial strain on the electronic structure, absorption spectrum, and magnetic properties of Ce-doped ZnO systems by using a generalized gradient approximation + U (GGA + U) method with plane wave pseudopotential. Under unstrained conditions, the formation energy decreased, the system became stable, and the doping process became easy with the increase in the distances between two Ce atoms. The band gap of the systems with different strains became narrower than that of undoped ZnO without strain, and the absorption spectra showed a red shift. The band gap narrowed, and the red shift became weak with the increase of compressive strain. By contrast, the band gap widened, and the red shift became significant with the increase of tensile strain. The red shift was significant when the tensile strain was 3%. The systems with -1%, 0%, and 1% strains were ferromagnetic. For the first time, the magnetic moment of the system with -1% strain was found to be the largest, and the system showed the greatest beneficial value for diluted magnetic semiconductors. The systems with -3%, -2%, 2%, and 3% strains were non-magnetic, and they had no value for diluted magnetic semiconductors. The ferromagnetism of the system with -1% strain was mainly caused by the hybrid coupling of Ce-4f, Ce-5d, and O-2p orbits. This finding was consistent with Zener's Ruderman-Kittel-Kasuya-Yosida theory. The results can serve as a reference for the design and preparation of new diluted magnetic semiconductors and optical functional materials.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.11-26
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• 2022

The Hallyu wave based on K-pop and K-culture has increased the global interest in Korean culture. Therefore, to satisfy consumer demand, there is an attempt to develop a variable fashion design using traditional Korean culture. Transformable fashion design causes changes in form and meaning according to various situations and needs and can induce active participation of consumers. Therefore, we intend to propose a transformable fashion design that is based on traditional Korean culture but appears in a new form and meets the needs of consumers of fashion design. Among Korean traditional culture, wrapping cloths, bojagi are practically used by ordinary people until now, and their shape and use change according to the user's needs. This study intends to derive expression characteristics by examining the expression tendencies of bojagi and to develop transformable fashion designs through the derived data. The purpose of this study is to make and propose transformable fashion designs in real life using the expression characteristics of Korean bojagi. As the method of this study, we first conducted a literature review. Through this, a case study of empirical production was conducted in parallel with the development and production of transformable fashion designs using bojagi. A total of three illustrations and six variable fashion designs were developed. Two of the six works are transformable fashion design that change through movement and expansion of the square shape, the prototype of the bojagi, and two works are modular, bringing changes in function through combination and separation. The work was produced as a multi-purpose transformable fashion design that can be used as clothes or a bag.

• Journal of the Korean Geotechnical Society
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• v.38 no.8
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• pp.53-66
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• 2022

The national ground survey database (GeoInfo) distributes numerous ground survey data nationwide. Many standard penetration test results exist in this database; however, the number of shear wave velocity (V_S) data is small. Hence, to use abundant standard penetration test-N values to predict V_S, this study proposed a new empirical N-V_S relationship model using GeoInfo data. The proposed N-V_S model is a single equation regardless of geological layer types; the layer type only specifies the upper limit of V_S. To validate the proposed model, residual analysis was performed using a test dataset that was not used for the model development. Therefore, this study's proposed model performed better than N-V_S models from previous studies. Since the N-V_S model in this study was developed using sufficient data from GeoInfo, we expect that it is the most applicable to GeoInfo dataset for V_S prediction.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.6
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• pp.275-289
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• 2022

New businesses such as marine leisure and floating construction have recently flourished on the coast. As a result, consideration is given to a floating structure appropriate for marine environments. In this study, we applied a damping plate to increase the stability of a hybrid floating structure that was expanded by vertical and horizontal stacking of mobile unit modules. In the numerical analysis using ANSYS AQWA, the behavioral characteristics of the floating structure were analyzed according to the length change of the damping plate. However, the wave forces acting on a floating structure are excessively calculated by the resonance of fluid surrounded by the structure in the numerical analysis using potential flow. Therefore, we used the damping zone option of the ANSYS AQWA in the frequency domain analysis.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.25-31
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• 2023

The brain-machine interface(BMI) is a next-generation interface that controls the device by decoding brain waves(also called Electroencephalogram, EEG), EEG is a electrical signal of nerve cell generated when the BMI user thinks of a command. The brain-machine interface can be applied to various smart devices, but complex computational process is required to decode the brain wave signal. Therefore, it is difficult to implement a brain-machine interface in an embedded system implemented in the form of an edge device. In this study, we proposed a new type of brain-machine interface system using IoT technology that only measures EEG at the edge device and stores and analyzes EEG data in the cloud computing. This system successfully performed quantitative EEG analysis for the brain-machine interface, and the whole data transmission time also showed a capable level of real-time processing.