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

• Korean Journal of Soil Science and Fertilizer
• /
• v.48 no.4
• /
• pp.262-270
• /
• 2015

The scientific information between microbial community and chemical properties of reclaimed tidal soil is not enough to understand the land reclamation process. This study was conducted to investigate the relation between chemical properties and microbial activities of soils from reclaimed tidal lands located at south-western coastal area (42 samples from Goheuong, Samsan, Bojun, Kunnae, Hwaong and Yeongsangang sites). Most of the reclaimed soils showed chemical characteristics as salinity soil based on EC. Only $Na^+$ in exchangeable cation was dependent on EC of reclaimed soil, whereas other cations such as $K^+$, $Ca^{2+}$, and $Mg^{2+}$ were independent on EC. The mesophilic bacteria decreased with an increase in EC of soil. Microbial population increased with soil organic content in the range of $0{\sim}10g\;kg^{-1}$ and dehydrogenase activity less than $100{\mu}g-TPF\;g^{-1}h^{-1}$. Microbial population of soils from reclaimed tidal lands was closely related to the microbial community containing hydrolytic enzyme activities of cellulase, amylase, protease, and lipase.

• Journal of Korean Society of Forest Science
• /
• v.110 no.4
• /
• pp.530-542
• /
• 2021

To establish the basic unit for the ecological management of the Larix kaempferiplantations in the Baekdudaegan protected area, we classified the vegetation types using TWINSPAN and DCA ordination analysis based on the vegetation information collected from 119 plots and analyzed their spatial arrangement status. Vegetation types were classified into seven types, including Quercus mongolica-Rhododendron schlippenbachii type, Q. mongolica-Lespedeza maximowiczii type, Cornus controversa-Morus australis type, Q. mongolica-Carpinus cordata type, Lindera erythrocarpa-Rosa multiflora type, Q. serrata-Zanthoxylum schinifolium type, and Q. serrata-Sasa borealis type and they have usually reflected differences in the floristic composition according to latitude, elevation, establishment period, operation history, characteristics of the surrounding stands, and degree of disturbance. Furthermore, using the Jaccard coefficient to comparethe floristic composition similarity between Larix kaempferiplantations and surrounding potential natural vegetation (Q. mongolica and Q. serrata forests), although some differences depended on vegetation types, it was 0.21 on average with Q. mongolica forest and 0.32 with Q. serrata forest, indicating that the floristic composition was still heterogeneous.

• Journal of Convergence for Information Technology
• /
• v.11 no.9
• /
• pp.8-16
• /
• 2021

The purpose of this study is to suggest a development plan for the waterfront in the coastal ocean. The research method is conducted mainly on various materials such as marine design, waterfront, marine industry, harbor waterfront space, marine landscape related reports, papers, and articles. As a result, it was found that it is urgent to move, dismantle, and manage various sculptures or structures that are installed on the shore and cause visual pollution. The location management and maintenance of indiscriminately scattered fishing grounds are urgently needed, secure sufficient green buffer space, develop coastal marine roads across the country, create eco-tourism sites, contribute to regional revitalization and secure the production value of aquatic products by restoring the ecosystem. This study is expected to contribute to suggesting a direction for maintenance by focusing on the main management measures of the waterfront rather than the aspect of reckless development of marine design.

• International Journal of Computer Science & Network Security
• /
• v.21 no.8
• /
• pp.288-296
• /
• 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 the Korean Society of Environmental Restoration Technology
• /
• v.24 no.2
• /
• pp.57-69
• /
• 2021

Urban green spaces supply ecosystem services (ESs), which are consumed by city residents and generate demand, to improve air quality. It is important to determine supply and demand for ESs and reduce the gap for efficient management. This study proposed a method to use the concept of supply and demand for ESs in the decision-making process for urban planning or management. PM₁₀ concentrations were converted to weight for demand assessment on PM₁₀ reduction, and PM₁₀ absorption capacity of all green spaces including the forests, and that of urban green spaces excluding forests, was calculated for each supply assessment. The differences in the calculated supply and demand were analyzed to derive the mismatched regions in Suwon. As a result, regions with big forested areas showed sufficient supply, indicating that the degree of mismatch among administrative neighborhoods (dong) varied greatly depending on whether they had a forest. An analysis of only urban green spaces showed that all neighborhoods lacked supply. Forests with high PM₁₀ absorption capacity had a great effect, but urban green spaces can be considered a key element in reducing PM₁₀ in daily life. Considering the mismatch of supply and demand, spatial distribution, and population distribution, it is possible to prioritize the supply of urban green spaces to reduce PM₁₀ and, furthermore, support decision making for priority zones subject to forest conservation and designation and cancellation of green spaces, which gives significance to this study.

• Journal of Korea Technology Innovation Society
• /
• v.22 no.3
• /
• pp.340-361
• /
• 2019

This study analyzes the technological structure of artificial intelligence (AI) and technological capabilities of AI companies based on patent information. 2589 AI patents registered in USPTO from 2007 to 2017 were collected and analyzed by the Latent Dirichlet Allocation (LDA) to derive 20 AI technology topics. Analysis of technology development trends by AI technology reveals that visual understanding, data analysis, motion control, and machine learning are growing, while language understanding and speech technology are sluggish. In addition, we also investigated leading companies in each sub-field of AI as well as core competencies of global IT companies. The findings of this study are expected to be fruitfully used for formulation and implementation of technology strategy of AI companies.

• Journal of the Korean Society of Urban Environment
• /
• v.18 no.4
• /
• pp.439-453
• /
• 2018

The purpose of this study is to evaluate water quality characteristics of main drinking waters in natural parks, for providing the basic information of water quality and to propose the appropriate management method. to maintain the water quality standards. As a result of the analysis, microorganisms were mostly detected in the nature of natural park. And some sites are currently using UV sterilizer and ozone treatment, and it is considered appropriate to extend the use to other main drinking water. It is also good to boil drinking water at home. Turbidity is expected to improve through environmental cleanup. Overall, the main drinking water in the natural park is suitable for water quality standards, and it is considered that maintenance such as cleaning is necessary.

• Journal of Korea Game Society
• /
• v.21 no.4
• /
• pp.43-58
• /
• 2021

In the current discourse landscape where the opinions of stakeholders on game self-regulation are opposed, this study was conducted for the purpose of finding improvements by examining the effects of media reports on self-regulatory policies or perceptions. From July 2018 to June 2020, all articles reported for about two years were selected and the final 325 data were used for the study. For detailed frame analysis, the first and second frames were derived inductively. In the results of the study, it was analyzed that the in-depth understanding of the topic of self-regulation, the use of objective data, and the diversity of information sources were insufficient throughout the report.

• Journal of Cadastre & Land InformatiX
• /
• v.50 no.2
• /
• pp.5-20
• /
• 2020

This study analyzed the effect of social, economic, and physical improvement in urban regeneration projects using difference in difference method in Busan and Cheongju City, utilizing population, regional economic, and old building data. The results of analysis indicated that the urban regeneration project had no effect on the social, economic, and physical improvement of the project area comparing the neighboring areas. In other words, at the end of the urban regeneration project, the business performance was not evident. Therefore, it is difficult to expect social, economic, and physical improvement if the urban regeneration project does not consider the linkage with the detailed project composition. In particular, it is necessary to carefully select detailed projects that meet the purpose of the project when establishing urban regeneration plans in the future.