• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.3
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• pp.13-33
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• 2014

The purpose of this study is to offer the raw data for establishing the management and restoration plan by objective surveying and analysing the flora distributed in Seoak District, Gyeongju National Park, Korea. The flora summarized as 411 taxa including 92 families, 285 genera, 363 species, 2 subspecies, 41 varieties and 5 forms. The rare plants designated by Korea Forest Service were 2 taxa including Exochorda serratifolia and Potentilla discolor. The Korean endemic plants were 3 taxa including Philadelphus schrenkii, Lespedeza maritima and Weigela subsessilis. The specific plants by floristic region were 16 taxa including Asplenium sarelii, Pyrrosia petiolosa, Vitex negundo var. incisa and so forth. The target plants adaptable to climate change were 2 taxa including Lespedeza maritima and Carpesium macrocephalum, and the plants with approval for delivering oversea were 4 taxa including Exochorda serratifolia, Glycine soja, Lespedeza maritima and Weigela subsessilis. The naturalized plants were 51 taxa including Phytolacca americana, Viola papilionacea, Lamium purpureum and so forth. The invasive alien plants were 3 taxa including Ambrosia artemisiifolia, Aster pilosus and Lactuca scariola. NI(Naturalized Index) was 12.4% of all 411 taxa of surveyed flora in this study and UI(Urbanized Index) was 15.9% of all 321 taxa of naturalized plants in Korea. Potentilla discolor in rare plant, Philadelphus schrenkii in endemic plant and Dictamnus dasycarpus in specific plant were established the conservation plan. Whereas, invasive alien plants such as Ambrosia artemisiifolia, Aster pilosus and Lactuca scariola should be removed as soon as possible. The damaged sites in Seoak District were divided between wildfire area and farmland. To restore a forest fire site, we will have to apply a natural renewal and community planting. In case of farmland, we will have to do ecological planting using native species and constrcut a forest wetland.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.185-201
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• 2014

The Yong-neup of Mt. Daeam, which was designated as Korea's National Monument No.246 in 1973, is a high moor, and it has been managed with the designation as an ecosystem conservation area, Ramsar wetlands, and wetland conservation area. With the closing of the officially announced 5-year period for 'No-Trespassing' on the ecosystem conservation area starting August, 2010, it becomes necessary to arrange a systematic management and conservation scheme in consideration of the access & use of the visitors and Yong-neup's potential change into land consequent on making it open to the public. This study thinks that in order to preserve the Yong-neup, it's necessary to prepare the conservation plan for the program operation for exterminating exotic species, development of replacement wetlands and nurseries, access limit through zone categorization, establishment of environment-monitoring system, institutional management support, and establishment of managing facilities, etc., and to make scientific approaches, such as survey on wetland ecosystem, establishment of inventories, wetland monitoring, and drawing up of wetland ecology maps, etc. In addition, it is required that there should be adequate considerations of restoration of slope faces, drains, artificial embankment, water-collecting wells, roads for military operations, and wild-boar-stricken areas, etc., and should be continuous and systematic management of Yong-neup through the wise use of residents' participation-style maintenance, organization of a consultative body, introduction of CEPA programs, and introduction of visiting facilities and alternative transportation system, etc.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2724-2730
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• 2015

Internet of Things (IoT) is possibly the most widely discussed technological concept in today's technology circles. This technology is expected to dramatically change not only how we work but also how we live. The concept of IoT basically means a web of connected devices which can be controlled over a data network. With cost of technology required to control these devices going down and increasing internet connectivity through smartphones, IoT is expected to be an all pervasive technology in the next 10 years. In this paper, we study the technological landscape of this fast growing technology domain from an Intellectual Property (Patents) perspective. We find that the patent distribution in this domain is very fragmented with the top patent applicants in the field holding around 5% of the total patents. Especially, the US geography has seen the maximum patent filings and is closely followed by the big Asian markets of Japan and Korea.

• Journal of the Korean Geographical Society
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• v.39 no.2
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• pp.283-296
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• 2004

More than 0.5 percent of land in Korea is used for cemetery and the rate is growing in spite of the increase in cremation these days. The systematic management of tombs may be possible through the ‘Feature Extraction’ method which is applied to the high-resolution satellite imagery. For this reason, this research focused on finding out the radiometric characteristics of tombs and the classification of them. An IKONOS image of northwest areas of Seoul with 8km x 10km dimension was analyzed. After sampling 24 tombs in the study area, the statistical radiometric characteristics of tombs are analyzed. And tombs were classified based on the criteria such as landscape, NDVI, and cluster analysis. In addition, it was investigated if the aspect or slope of the terrain influenced to the classification of tombs. As a result of this research, authors find that there is similarity between the classification tv NDVI and the classification through cluster analysis. And aspect or slope didn't have much influence on the classification of tombs.

• Korean Journal of Remote Sensing
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• v.6 no.2
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• pp.89-113
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• 1990

The purpose of this study is to develop means to apply GIS and remote sensing technology to the analysis of Korean urban open spaces. To achieve this objective, a framework of analysis of urban open spaces was developed, and then the framework was applied for the evaluation of the potential and suitability of open spaces of Ansan City, which is a new town developed to accomodate industries relocation from Seoul, Korea, mainly due to their pollution problems. The software used in this study are IDRISI, a grid-based GIS, and KMIPS, a remote sensing analysis system. Both packages are based on IBM PC/AT computers with Microsoft DOS. Landsat MSS and TM data were used for the land use classification, land use change detection, and analysis of transformed vegetation indices. The size of the geographic data base is 110 rows and 150 columns with the spatial resolution of 100m$\times$100m. The framework of analysis includes both quanititative and qualitative analysis of open spaces. The quantitative analysis includes size and distribution of open spaces, urban develpment of open spaces, and the degree of vegree of vegetation removal of the study area. The qualitative analysis includes evaluative criteria for primary productivity of land, park use potential, major visual resources, and urban environmental control. The findings of this study can be summarized as follows. First, the size of builtup areas increased 18.73km$^2$, while the size of forest land decreased 10.86km$^2$ during last ten years. Agricultural lands maintained its size, but shifted toward outside of the city into forest. Second, the potential of open spaces for park use is limited mainly due to their lack of accessibility and connectivity among open spaces, in spite of ample acreage and good site conditions. Third, major landscape elements and historic sites should be connected to the open space system of the city by new accesses and buffers.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.288-296
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• 2021

Automated face recognition in a runtime environment is gaining more and more important in the fields of surveillance and urban security. This is a difficult task keeping in mind the constantly volatile image landscape with varying features and attributes. For a system to be beneficial in industrial settings, it is pertinent that its efficiency isn't compromised when running on roads, intersections, and busy streets. However, recognition in such uncontrolled circumstances is a major problem in real-life applications. In this paper, the main problem of face recognition in which full face is not visible (Occlusion). This is a common occurrence as any person can change his features by wearing a scarf, sunglass or by merely growing a mustache or beard. Such types of discrepancies in facial appearance are frequently stumbled upon in an uncontrolled circumstance and possibly will be a reason to the security systems which are based upon face recognition. These types of variations are very common in a real-life environment. It has been analyzed that it has been studied less in literature but now researchers have a major focus on this type of variation. Existing state-of-the-art techniques suffer from several limitations. Most significant amongst them are low level of usability and poor response time in case of any calamity. In this paper, an improved face recognition system is developed to solve the problem of occlusion known as FRS-OCC. To build the FRS-OCC system, the color and texture features are used and then an incremental learning algorithm (Learn++) to select more informative features. Afterward, the trained stack-based autoencoder (SAE) deep learning algorithm is used to recognize a human face. Overall, the FRS-OCC system is used to introduce such algorithms which enhance the response time to guarantee a benchmark quality of service in any situation. To test and evaluate the performance of the proposed FRS-OCC system, the AR face dataset is utilized. On average, the FRS-OCC system is outperformed and achieved SE of 98.82%, SP of 98.49%, AC of 98.76% and AUC of 0.9995 compared to other state-of-the-art methods. The obtained results indicate that the FRS-OCC system can be used in any surveillance application.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.37-44
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• 2019

The value of Jeju Batdam has been reexamined as it is listed as a nationally important agricultural heritage and globally important agricultural heritage systems. However, it is already exposed to threats such as reduction of agricultural population and cultivation area. Despite efforts like the agricultural heritage system to preserve traditional agriculture, there is few basic investigation into the current status of Jeju Batdam. The purpose of this study is to estimate the length of Jeju Batdam. We used the continuous cadastral map of Jeju area to extract the boundaries of the field lot. In the cadastral map, the farmland was selected by selecting dry fields, paddy fields and orchards. 300 sample site were selected from the extracted farmland, and the boundaries between the Internet map and the parcels were superimposed and the differences were confirmed on the drawing. After that, field survey was conducted to confirm the boundary of the parcels and the existence of actual Batdam. It is estimated that the length estimated from this study is at least 23,983km and maximum 142,353km, which is at least 1,830km longer than 22,108km announced in 2007. Since Jeju Batdam is based on land parcel boundary, it is an objective and efficient method to utilize intellectual information. In addition, because it is subordinate to farmland, new information can be extracted reflecting the change of land use and make the spatial database based on the cadastral maps.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.1
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• pp.61-72
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• 2019

With the diversification of research using UAV(Unmanned Aerial Vehicle)s, the possibility of remote sensing research for urban green spaces is increasing. UAVs can be used as an investigation method to monitor the successful construction of the park and the planting of vegetation since its creation. This study was carried out to investigate UAVs utilization of urban green space monitoring in Dosol Square. It was photographed three times on May 21, July 13, and September 16, 2018 using DJI Phantom3 pro, Inspire2, and Parrot Sequoia multispectral camera. Orthographic images were overlaid on the planting plan of the site and the construction results were checked, the change of vitality of the plantation area was analyzed by NDVI(Normalized Difference Vegetation Index) and SAVI(Soil Adjusted Vegetation Index). As a result, it was confirmed that the UAVs are very effective for surveying the view of the urban green space after the construction and recording the results, which can be grasped quantitatively by overlaying the planting plan map. UAVs are more likely to be used in terms of monitoring vegetation vitality. It is interpreted that SAVI is better than NDVI in the green space just after composition. Chionanthus retusus and Pinus strobus were analyzed for their low level of vitality, and partially damaged and their vitality was lowered. In addition, there was difficulty in grass planting area and flower garden due to drainage and summer drought problems. In the future, it is expected that orthoimage and multispectral data using UAVs will be useful in the early vegetation monitoring and management field of urban green spaces.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.5
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• pp.45-56
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• 2019

Urban green areas are generally composed of relatively small and fragmented patches, but it is a critical factor for the quality of an urban environment. They have positive effects such as increasing green connectivity, reducing runoff, and mitigating urban heat. But, there is a lack of urban greening plans that consider the comprehensive effects of green space in real urban areas. To fill this gap in this literature, this study identifies a planning model that determines the optimal locations for maximizing green areas' multiple effects(e.g., heat mitigation and enhancement of connectivity) by using unused lots. This model also considers minimizing costs using meta-heuristic optimization algorithms. As a results, we finds 50 optimal plans that considers two effects within the limited cost in Nowon-gu. The optimal plans show the trade-off effect between connectivity, heat mitigation and cost. They also show the critical unused land lots for urban greening that are commonly selected in various plans. These optimal plans can effectively inform quantitative effectiveness of green space and their trade-off. We expect that our model will contribute to the improvement of green planning processes in reality.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.107-107
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• 2019

Ulcerative colitis (UC) is one of inflammatory bowel disease (IBD), characterized by chronic inflammatory response and dysregulation of immune function. The severity of US has been influenced by environmental factors and food habit. The immune modulatory, anti-inflammatory and steroidal medicine have been used for the treatment of UC. However, long-term administration of those medicine is accompanied with side-effect. So, it is necessary to develop the non side-effect medicine using natural product. Prebiotics influences intestinal condition and food consumption. The heredity, immunity and environmental condition are related with occurrence of UC. In recent study, UC patients had lower level of prebiotics such as Lactobacillus and Bifidobacterium compared with healthy people. Also, previous study announced that imbalance of enteric flora aggravates the severity of UC. The effectiveness of probiotics might affect colon ability and viable bacteria also could promote the proliferation of beneficial intestinal bacteria. Prebiotics, such as herbal medicine, could lead to balance of intestinal bacteria or increase beneficial bacteria. So, proper choice of herbal medicine could control the intestinal condition. This study aimed to investigate the effect of mixture of probiotics and prebiotics (synbiotics) on dextran sulfate sodium (DSS)-induced UC in vivo. The synbiotics consist of Lactobacillus buchneri, Polymnia sonchifolia and Glycine max Merr. in this study. To evaluate the effect of synbiotics, 3% DSS was administered in BALB/c mice and synbiotics was daily administered for experimental days. The administration of synbiotics regulated colon length shortening, body weight change and disease activity index effectively. Also, extract of synbiotics upregulated survival ability of Lactobacillus buchneri in gut condition. These results suggest that mixture of probiotics and prebiotics, called as synbiotics, could influence intestinal condition also regulate the colon disease. Synbiotics might be a therapeutic agent for treatment of UC.