• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.27-33
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• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.1
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• pp.97-110
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• 2021

Vegetation index information is an important figure that is used in many fields such as landscape architecture, urban planning, and environment. Vegetation may vary slightly in vegetation vitality depending on photosynthesis and chlorophyll content. In this study, a range of vegetation worth preserving in the Taehwa River water system was determined, and hyperspectral images of drones were acquired (August, October), and the results were presented through DVI(Normalized Defference Vegetation Index), EVI(Enhanced Vegetation Index), PRI(Photochemical Reflectance Index), ARI (Anthocyanin Reflectance Index) index analysis. In addition, field spectral data and VRS-GPS(Virtual Reference System-GPS) surveys were performed to ensure the quality and location accuracy of the spectral band. As a result of the analysis, NDVI and EVI showed low vegetation vitality in October, -0.165 and -0.085, respectively, and PRI and ARI increased to 0.011 and 7.588 in October, respectively. For general vegetation vitality, it was suggested that NDVI and EVI analysis were effectively performed, and PRI and ARI were thought to be effective in analyzing detailed characteristics of plants by spectral band. It is expected that it can be widely used for park design and landscape information modeling by using drone image information construction and vegetation information.

• Journal of Environmental Science International
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• v.27 no.11
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• pp.1029-1048
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• 2018

In this study, seasonal Mann - Kendall test method was applied to 12 stations of the water quality measurement network of Nam-River based on data of BOD, COD, TN and TP for 11 years from January 2005 to December 2015 The changes of water quality at each station were examined through linear trends and the tendency of water quality change during the study period was analyzed by applying the locally weighted scatter plot smoother (LOWESS) method. In addition, spatial trends of the whole Nam-River were examined by items. The flow-adjusted seasonal Kendall test was performed to remove the flow at the water quality measurement station. As a result, BOD, COD concentration showed "no trand" and TN and TP concentration showed "down trand" in regional Kendall test throughout the study period. BOD and TP concentration in "no trand", COD, and TN concentration showed an "up trand" tendency in Nam-River dam. LOWESS analysis showed no significant water quality change in most of the analysis items and stations, but water quality fluctuation characteristics were shown at some stations such as NR1 (Kyungho-River 1), NR2 (Kyungho-River 2), NR3 (Nam-River), NR6 (Nam-River 2A). In addition, the flow-adjusted seasonal Kendall results showed that the BOD concentration was "up trand" due to the flow at the NR3 (Nam-River) station. The COD concentration was "up trand" due to the flow at NR1 (Kyungho-River 1) and NR2 (Kyungho-River 2) located upstream of the Nam-River. The effect of influent flow on water quality varies according to each site and analysis item. Therefore, for the effective water quality management in the Nam-River, it is necessary to take measures to improve the water quality at the point where the water quality is continuously "up trand" during the study period.

• Journal of the Korea Institute of Building Construction
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• v.16 no.6
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• pp.535-544
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• 2016

Korean government is promoting "K-Smart City" to overseas market which is an integrated solution of construction industry with ICT(Information and Communciations Technologies) industry. Due to nature of Smart City, construction quality and the development quality of the facilities need to be established to improve the overall quality. However, guidelines and regulations to initiate quality control for Smart City are behind the actual demand. This deficiency is bringing quality control for construction and ICT to be controlled separately causing lack of synergy and resulting in overall quality degradation. This research is designed to improve the construction quality of Smart City during its establishment stage by integrating ICT system with on-site construction (Integrated control center and on-site equipment). The adoption of this research to a real Smart City case had resulted in 22% reduction of construction inspection failure (Audit), and also allowed Construction Company to pre-align quality control of all purchased items of ICT Infra that resulted in 18% reduction of nonconformity, thus contributing to an overall quality improvement. This research is expected to be used widely among all construction industry of Smart City.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.5
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• pp.165-176
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• 2012

The objective of this study is to set urban ecosystem assessment indicators, assess the status of the urban ecosystems in 31 cities & counties in the capital region and based on which, to examine an improvement plan to resolve problems and raise quality and quantity of urban ecosystems. The study showed that the ecological base of 31 cities & counties was 48% on average, which indicates that their ecological property is the middle class. Their natural-ecological function was 63% and environmental-control function was 25%, showing that environment-control function was poor. Therefore, going forward, urban ecological base should be further improved. When securing an ecological base, creation techniques should be able to further enhance environmental-control function along with natural-ecological function. Also, additional effort should be made to conserve areas with high ecological value as much as possible and increase vegetation vitality by replacing tree species.

• Journal of the Korean Institute of Rural Architecture
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• v.11 no.4
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• pp.43-50
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• 2009

Since then where the public housing comes in into Korea many there was development and change. The Mapo apartment in Seoul which is built at 1962 is the first apartment and case of Jeollabuk-do before being built at 1978, the Dongyang apartment Jeongju is the beginning. Before the residential supply ratio which gives already passes over 100% and of 80% or more of the house which is supplied is composed with the public housing. Therefore the expansion which is quantitative increased enough and also the degree of satisfaction improved about the people who lives in the house. From the research which sees consequently currently in the object satisfaction under investigating boil the specialists who from the small and medium-sized town and city have a many experience from construction field about the house. The result in future there is the goal provides the fundamental data which the quality of the house presents the direction which will advance about the public housing with base and improves.

• KIEAE Journal
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• v.15 no.2
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• pp.53-59
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• 2015

Purpose: Reducing energy consumption and greenhouse gas emissions is a primary concern throughout the world, and the building sector is a particularly efficient area for making these reductions. In South Korea, the government has recently enacted policies for "Green Growth" that, among other things, enforce regulations in the building certification rating system (BCRS) and reorganize existing incentive systems. Method: In this study, we examined regulations and incentive systems used in the United Kingdom, Germany, and the United States that encourage the use of energy efficient technologies in construction and compared these policies to those used in South Korea. We also disseminated surveys to experts in the fields of architecture, planning and design, and engineering to better understand their knowledge and perception of the BCRS and its incentive systems. Additionally, we sought their recommendations for improving these incentive systems. Result: Based on our comparative case studies of regulations and incentives in other countries, alongside recommendations from experts in South Korea, we concluded that incentive systems in South Korea are limited and require improvement. We make recommendations for strengthening existing regulations and incentives and for implementing new incentive programs.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.1
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• pp.91-111
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• 2012

With the rapid expansion of web information, conventional information retrieval techniques are becoming inadequate for users and often result in disappointment, because a couple of simple keywords can easily produce information too much. This study aims at the development of Web information retrieval techniques based on semantics to improve the quality of understanding for information. To achieve the goal, this study analyzes technologies and current status of researches on semantic information retrieval. With the results which are requirements, system architecture and indexing method, this study proposes the system architecture of semantic-based information retrieval system.

• Journal of Environmental Impact Assessment
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• v.11 no.3
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• pp.129-143
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• 2002

This study was executed environmental assessment to determine whether or not the national landuse planning change on the reserved area for a rope way in the ice valley(Eoreurngol) of Miryang. The selected survery area is $1,633,442m^2$ and assessed with flora, actual vegetation, degree of green naturality(DGN), sere stage and wild birds. The flora was summarized as 132 taxa which is 90 genera, 117 species, 12 varieties and 3 forms. The actual vegetation was classified 24 types and nature forests like Quercus and deciduous-broad leaf community was distrubuted broadly. Especially Quercus and deciduous-broadleaf communities were assessed high rarity value in Miryang. From the analysis of DGN, it were found out that DGN 8 is 72.5% and DGN 9 is 3.9%. At the analysis of sere stage, the communities were divided 4 with Quercus mongolica, Pinus densiflora, Carpinus laxiflora and deciduous-broadleaf community. Wildbirds was observated as 30 species and 161 ea and Aix galericulata (natural monument no. 327) especially inhabited there. From the above nature ecosystem assessment, the survey area has high quality naturalness, so it was turned out that a rope way construction might be not suitable in survery area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5286-5306
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• 2016

Emerging applications in automation, medical imaging, traffic monitoring and surveillance need real-time data transmission over Wireless Sensor Networks (WSNs). Guaranteeing Quality of Service (QoS) for real-time traffic over WSNs creates new challenges. Rapid penetration of smart devices, standardization of Machine Type Communications (MTC) in next generation 5G wireless networks have added new dimensions in these challenges. In order to satisfy such precise QoS constraints, in this paper, we propose a new cross-layer QoS-provisioning strategy in Wireless Multimedia Sensor Networks (WMSNs). The network layer performs statistical estimation of sensory QoS parameters. Identifying QoS-routing problem with multiple objectives as NP-complete, it discovers near-optimal QoS-routes by using evolutionary genetic algorithms. Subsequently, the Medium Access Control (MAC) layer classifies the packets, automatically adapts the contention window, based on QoS requirements and transmits the data by using routing information obtained by the network layer. Performance analysis is carried out to get an estimate of the overall system. Through the simulation results, it is manifested that the proposed strategy is able to achieve better throughput and significant lower delay, at the expense of negligible energy consumption, in comparison to existing WMSN QoS protocols.