• Korean Journal of Remote Sensing
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• v.38 no.3
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• pp.299-309
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• 2022

Recently, The sea water temperature around Korean Peninsula is steadily increasing. Water temperature changes not only affect the fishing ecosystem, but also are closely related to military operations in the sea. The purpose of this study is to suggest which model is more suitable for the field of water temperature prediction by attempting short-term water temperature prediction through various prediction models based on deep learning technology. The data used for prediction are water temperature data from the East Sea (Goseong, Yangyang, Gangneung, and Yeongdeok) from 2016 to 2020, which were observed through marine observation by the National Fisheries Research Institute. In addition, we use Long Short-Term Memory (LSTM), Bidirectional LSTM, and Gated Recurrent Unit (GRU) techniques that show excellent performance in predicting time series data as models for prediction. While the previous study used only LSTM, in this study, the prediction accuracy of each technique and the performance time were compared by applying various techniques in addition to LSTM. As a result of the study, it was confirmed that Bidirectional LSTM and GRU techniques had the least error between actual and predicted values at all observation points based on 1 hour prediction, and GRU was the fastest in learning time. Through this, it was confirmed that a method using Bidirectional LSTM was required for water temperature prediction to improve accuracy while reducing prediction errors. In areas that require real-time prediction in addition to accuracy, such as anti-submarine operations, it is judged that the method of using the GRU technique will be more appropriate.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.335-345
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• 2024

In the digital era, data security has become an increasingly critical issue, drawing significant attention. Particularly, anti-tampering technology has emerged as a key defense mechanism against indiscriminate hacking and unauthorized access. This paper explores case studies that exemplify the trends in the development and application of TPM (Trusted Platform Module) and software anti-tampering technology in today's digital ecosystem. By analyzing various existing security guides and guidelines, this paper identifies ambiguous areas within them and investigates recent trends in domestic and international research on software anti-tampering. Consequently, while guidelines exist for applying anti-tampering techniques, it was found that there is a lack of methods for evaluating them. Therefore, this paper aims to propose a comprehensive and systematic evaluation framework for assessing both existing and future software anti-tampering techniques. To achieve this, it using various verification methods employed in recent research. The proposed evaluation framework synthesizes these methods, categorizing them into three aspects (functionality, implementation, performance), thereby providing a comprehensive and systematic evaluation approach for assessing software anti-tampering technology in detail.

• Korean Journal of Agricultural and Forest Meteorology
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• v.12 no.4
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• pp.217-224
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• 2010

This study was carried out to quantify potential effects of the surrounding ocean on the observed air temperature at coastal weather stations in the Korean Peninsula. Daily maximum and minimum temperature data for 2001-2009 were collected from 66 Korea Meteorological Administration (KMA) stations and the monthly averages were calculated for further analyses. Monthly data from 27 inland sites were used to generate a gridded temperature surface for the whole Peninsula based on an inverse distance weighting and the local temperature at the remaining 39 sites were estimated by recent techniques in geospatial climatology which are widely used in correction of small - scale climate controls like cold air drainage, urban heat island, topography as well as elevation. Deviations from the observed temperature were regarded as the 'apparent' sea effect and showed a quasi-logarithmic relationship with the distance of each site from the nearest coastline. Potential effects of the sea on daily temperature might exceed $6.0^{\circ}C$ cooling in summer and $6.5^{\circ}C$ warming in winter according to this relationship. We classified 25 sites within the 10 km distance from the nearest coastline into 'coastal sites' and the remaining 15 'fringe sites'. When the average deviations of the fringe sites ($0.5^{\circ}C$ for daily maximum and $1.0^{\circ}C$ for daily minimum temperature) were used as the 'noise' and subtracted from the 'apparent' sea effects of the coastal sites, maximum cooling effects of the sea were identified as $1.5^{\circ}C$ on the west coast and $3.0^{\circ}C$ on the east and the south coast in summer months. The warming effects of the sea in winter ranged from $1.0^{\circ}C$ on the west and $3.5^{\circ}C$ on the south and east coasts.

• Journal of Environmental Impact Assessment
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• v.29 no.1
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• pp.45-60
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• 2020

In the past, air pollution, water pollution and solid waste were very important items, but at present environmentally sound land use, ecosystem conservation and sustainable socio-economy have become very important in EIA. According to the consultation result of SEA and Small scale EIA during 2012~2019, most results are 'Conditional Agreement'. Especially EIA consultation results before 2016 were mostly (94.1 %) 'Agreement', but since 2017 most (87.4 %) are 'Conditional Agreement'. And the percentage of 'Non Agreement' have sharply increased from 0.3~0.6 % (during 2013~2016) to 1.3~3.1 % (during 2017~2019). In case there have been no change in EIA system and consultation techniques, the problems of inconsistency and unfairness could be raised. Therefore are urgently required researches on environmentally sound land use, ecosystem conservation and sustainable socio-economy which decide location feasibility assessment. The purpose of this study is to analyse the consultation cases of SEA, EIA, and Small scale EIA since 2012, and to identify key factors which result in the decision of nonagreement of development plans and development projects, and to suggest the improvements on EIA consultation based on land use regulation and environmental grade.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.2
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• pp.96-104
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• 2001

Usage of ecosystem models has been extended to landscape scales for understanding the effects of environmental factors on natural and agro-ecosystems and for serving as their management decision tools. Accurate prediction of spatial variation in daily temperature is required for most ecosystem models to be applied to landscape scales. There are relatively few empirical evaluations of landscape-scale temperature prediction techniques in mountainous terrain such as Korean Peninsula. We derived a periodic function of seasonal lapse rate fluctuation from analysis of elevation effects on daily temperatures. Observed daily maximum and minimum temperature data at 63 standard stations in 1999 were regressed to the latitude, longitude, distance from the nearest coastline and altitude of the stations, and the optimum models with $r^2$ of 0.65 and above were selected. Partial regression coefficients for the altitude variable were plotted against day of year, and a numerical formula was determined for simulating the seasonal trend of daily lapse rate, i.e., partial regression coefficients. The formula in conjunction with an inverse distance weighted interpolation scheme was applied to predict daily temperatures at 267 sites, where observation data are available, on randomly selected dates for winter, spring and summer in 2000. The estimation errors were smaller and more consistent than the inverse distance weighting plus mean annual lapse rate scheme. We conclude that this method is simple and accurate enough to be used as an operational temperature interpolation scheme at landscape scale in Korea and should be applicable to elsewhere.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.3 no.2
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• pp.10-23
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• 2000

The purpose of this research was to investigate water spaces such as marshes and watercourses, especially focusing on methods to establish eco-ponds. Many aqua-ecosystems have been filled up or destroyed in the process of rapid industrialization and urbanization in the cities. This inquiry was done by comparing, studying and analyzing existing ponds and studying documents on the introduction and methods of making eco-ponds. Existing ponds were put into three categories as the either eco-pond, man-made/natural ponds, or man-made ponds. Three instances were selected for each category, totaling nine. Data on the size and shape, depth, waterproofing techniques, water supply, plants and planting plan, and the maintenance of the ponds was collected and compared. The following are conclusions based on comparing, studying and analyzing these existing ponds, and studying documents on the introduction and methods of making eco-ponds. ${\cdot}$ It is noteworthy that different environments and depths must be provided because these are main variants contributing to attracting plants in the ponds. ${\cdot}$ In these places plants emerged, such as, floating-leaved plants, free-floating planktonic plants, submerged plant etc, in the different water level zones, once these various conditions were provided. ${\cdot}$ Various spaces can be used for shelter, places for relaxation and habitation. ${\cdot}$ After establishing a pond, routine maintenance is necessary for preventing eutrophication. However the minimal possible management should be done to maintain a natural status.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.3
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• pp.1-18
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• 2017

This study constructed a high-resolution bioclimatic classification map of South Korea which classifies land into homogeneous zones by similar environment properties using advanced statistical techniques compared to existing ecological area classification studies. The climate data provided by WorldClim(1960-1990) were used to generate 27 bioclimatic variables affecting biological habitats, and key environmental variables were derived from Correlation Analysis and Principal Component Analysis. Clustering Analysis was performed using the ISODATA method to construct a 30'(~1km) resolution bioclimatic classification map. South Korea was divided into 21 regions and the results of classification were verified by correlation analysis with the Gross Primary Production(GPP), Actual Vegetation map made by the Ministry of Environment. Each zones' were described and named by its environmental characteristics and major vegetation distribution. This study could provide useful spatial frameworks to support ecosystem research, monitoring and policy decisions.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.295-302
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• 2016

Many countries, especially ICT powers, are supporting IoT-based technology at a national level and this technology is actively being researched in the businesses and research institutes in an aim to develop technology and create an ecosystem. Roads in the Seoul city are building public facilities based on IoT to provide various services and conveniences for the users. However, for the full-fledged introduction and development of IoT, there are many cases where infringement on security and privacy and threat for life and safety happen. Also, as the IoT environment includes various environment technologies such as the existing sensor network, heterogeneous communication network, and devices optimized for the IoT environment, it inherits the existing security threat and various attack techniques. This paper researches the attribute based encryption technology for safe communication in the IoT environment. The data collected from the device is transmitted utilizing the attribute based encryption and by designing the key generation protocol, grades and authorities for the device and users are identified to transmit safe messages.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.1
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• pp.83-91
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• 2000

This study was carried out to develop the close-to nature construction technology for the stream which has been improved just for the flood control with artificially straightened and concrete covered, losing the various functions of the stream such as wild-life habitat, polluted water purification and waterscape. Jungpyung stream in youngin City, Kyunggi Province was selected as a case study site. The results were as follows; 1. Existing stream improvement planning could accept the close-to-nature techniques of the low-flow revetment, keeping the capability of flood control and water use. 2. The low-flow revetment was planned and executed to the bottom of the stream without damaging the existing bank, and the slope of the low-flow revetment was adjusted as 1:1.2∼1.5. Consequently it would not disturb the water flow when the flood occurred and it would keep the constant water flow even at the drought with providing a stable ecosystem and water purification. 3. Low-flow revetement was planted with Salix species and perennials naturally, and it would be a precious biotope for the diverse floras and faunas. 4. Some furnitures such as stepping stone bridge, wooden bridge and step were installed to the suitable locations for the convenience of users, and it will be ot only the sound stream environment but also easy access to the waterscape. 5. This case study site will be monitored for 3 years systematically after the construction was finished in September, 1999 to get the exact results for the scientific approvement

• Journal of Environmental Policy
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• v.10 no.4
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• pp.61-80
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• 2011

Through concentrated investments in environmental regulations centered around BOD, which is a biodegradable matter index, and basic environmental infrastructures, national BOD pollution level has continuously improved. Nonetheless, limitations of BOD management system has become evident through nation-wide stagnation and/or increases of refractory organic matters, such as COD, at main drinking water sources, and the need for a new index, which can easily indicate different environmental conditions, has increased. Therefore, this study suggests a new organic management index for a proper management of surface water. $COD_{Cr}$ and TOC were examined as candidates for surface water quality management index, and it was found that TOC was more appropriate than $COD_{Cr}$ as an organic matter management index. Through this study, it was found that TOC possesses following qualities: a more representative index; international acceptability; monitoring program is easier; better availability of analysis techniques; better accuracy and precision of analysis; less time required for analysis; ease of operation; management of disinfection byproducts; connection with present policies; existence of foreign and domestic application case studies; and correlation with water ecosystem.