• KIEAE Journal
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• v.2 no.1
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• pp.69-76
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• 2002

With rapid industrial development, railway has become a main traffic means. But, the railway noise has caused much annoyance for the residents living nearby railway track. Therefore, it is necessary to establish the environmental Quality criteria for railway noise like the environmental quality criteria for traffic noise. In this study, the domestic and foreign criteria for railway noise were investigated with analysis of existing data and an field survey of noise condition near a railway. Fundamental data are provided for establishment of environmental Quality criteria for railway noise.

• Journal of the Korean Institute of Educational Facilities
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• v.5 no.1
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• pp.5-17
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• 1998

The migration from rural area to the city has been increased according to the rapid industrialization since 1960's. The decrement of students and teachers forced many elementary' schools in rural area to be abolished. In 1982, the Department of Education started to merge and abolish small schools by the law, and the total number of abolished schools reaches to about 1600 in present. But proper counterplan to the abolished schools has not made sufficiently. This study is to present the methodology for reusing the abolished schools through field survey and analysis of the using type in Chungnam Province.

• KEPCO Journal on Electric Power and Energy
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• v.1 no.1
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• pp.55-59
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• 2015

Denial of Service (DoS) attack is to interfere the normal user from using the information technology services. With a rapid technology improvements in computer and internet environment, small sized DoS attacks targeted to server or network infrastructure have been disabled. Thus, Distributed Denial of Service (DDoS) attacks that utilizes from tens to several thousands of distributed computers as zombie PC appear to have as one of the most challenging threat. In this paper, we categorize the DDoS attacks and classify existing countermeasures based on where and when they prevent, detect, and respond to the DDoS attacks. Then we propose a comprehensive defense mechanism against DDoS attacks in Control System to detect attacks efficiently.

• Journal of the Korean Institute of Rural Architecture
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• v.10 no.1
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• pp.35-42
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• 2008

It is rare that the dwelling buildings designated as cultural assets owing to the demands of the rapid-changing times and their residences are conserved as their original shapes, though the extent varies. Meanwhile, there has been a continuous effort to preserve and take over our traditional dwelling culture. Yet, the effects were not tangible because the viewpoints are different between the conservation promoters and related residents-officials-experts and because the conservation method is not decided in advance. Thus, in conserving the traditional dwelling culture containing the history of human life, this study tries to find out the reasonable ways for conserving traditional residence based on the consciousness research of citizens on conserving and utilizing the cultural assets. Furthermore this study also tries to suggest to contemporaries - who should live side by side with the historic cultural assets - what attitude they should have. On the basis of above survey, the objective of this study is said to consist in presenting the directions - what efforts are needed - for the more active and participant conservation.

• Communications for Statistical Applications and Methods
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• v.23 no.6
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• pp.445-466
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• 2016

Nonparametric Bayesian methods have seen rapid and sustained growth over the past 25 years. We present a gentle introduction to the methods, motivating the methods through the twin perspectives of consistency and false consistency. We then step through the various constructions of the Dirichlet process, outline a number of the basic properties of this process and move on to the mixture of Dirichlet processes model, including a quick discussion of the computational methods used to fit the model. We touch on the main philosophies for nonparametric Bayesian data analysis and then reanalyze a famous data set. The reanalysis illustrates the concept of admissibility through a novel perturbation of the problem and data, showing the benefit of shrinkage estimation and the much greater benefit of nonparametric Bayesian modelling. We conclude with a too-brief survey of fancier nonparametric Bayesian methods.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.707-710
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• 2001

With rapid industrial development, railway has become a main traffic means. But, the railway noise has caused much annoyance for the residents living nearby railway track. Therefore, it is necessary to establish the environmental quality standards for railway noise like the environmental quality standards for traffic noise. In this study, the domestic and foreign standards for railway noise were investigated with analysis of existing data and field survey of noise condition at near a railway.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1585-1601
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• 2017

With the rapid development of computer technologies, a number of image modification methods have emerged, which have great impacts on the security of image information. Therefore, it is necessary to protect the integrity and authenticity of digital images, and digital watermarking technique consequently becomes a research hotspot. An effort is made to survey and analyze advancements of image watermarking algorithms based on singular value decomposition (SVD) in recent years. In the first part, an overview of watermarking techniques is presented and then mathematical theory of SVD is given. Besides, SVD watermarking model, features, and evaluation indexes are demonstrated. Various SVD-based watermarking algorithms, as well as hybrid watermarking algorithms based on SVD and other transforms for copyright protection, tamper detection, location, and recovery are reviewed in the last part.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.896-914
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• 2020

With the rapid growth of network traffic, a large number of connected devices, and higher application services, the traditional network is facing several challenges. In addition to improving the current network architecture and hardware specifications, effective resource management means the development trend of 5G. Although many existing potential technologies have been proposed to solve the some of 5G challenges, such as multiple-input multiple-output (MIMO), software-defined networking (SDN), network functions virtualization (NFV), edge computing, millimeter-wave, etc., research studies in 5G continue to enrich its function and move toward B5G mobile networks. In this paper, focusing on the resource allocation issues of 5G core networks and radio access networks, we address the latest technological developments and discuss the current challenges for resource management in 5G.

• Electronics and Telecommunications Trends
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• v.34 no.6
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• pp.71-86
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• 2019

The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.

• Journal of Korean Neurosurgical Society
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• v.62 no.3
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• pp.302-312
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• 2019

Stereoelectroencephalography (SEEG) is an invasive technique used during the surgical management of medically refractory epilepsy. The utility of SEEG rests in its ability to survey the three-dimensional organization of the epileptogenic zone as well as nearby eloquent cortices. Once concentrated to specialized centers in Europe and Canada, the SEEG methodology has gained worldwide popularity due to its favorable morbidity profile, superior coverage of deep structures, and ability to perform multi-lobar explorations without the need for craniotomy. This rapid shift in practice represents both a challenge and an opportunity for pediatric neurosurgeons familiar with the subdural grid approach. The purpose of this review is to discuss the indications, technique, and safety of long-term SEEG monitoring in children. In addition to reviewing the conceptual and technical points of the diagnostic evaluation, attention will also be given to SEEG-based interventions (e.g., radiofrequency thermo-coagulation).