• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.385-391
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• 2006

It is very important to make a decision for locating public facility site in a objectively way people in general agree with. This is because public facility affects not only daily life of people in there but also a regional development. This paper sets up a site selection model which utilize an accessibility theory and GIS spatial analysis techniques. This model has been applied to all the twelve alternatives of Chungnam Provincial Office (CPO) sites which are well known to the public. On the criterion of average access time from all the other areas in Chungnam Province, CH alternative is found to be the best one followed by CH/AS, AS alternatives. On the basis of total people-travel time CH/AS alternative turns out to be the best one followed by CH, AS alternatives. In conclusion top three best locations for CPO are CH and AS area where transportation facility are in good condition and population density is highest in Chungnam Province. This fact implies that a transportation accessibility and population density are the primary key in determining the location of public facility.

• Journal of The Geomorphological Association of Korea
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• v.18 no.1
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• pp.85-100
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• 2011

We were to investigate the geomorphological environment of optimum location in the object of Bronze Age's dwelling site (hereinafter called dwelling site) of total of 205 units confirmed in the 'Cheonan Baekseokdong Relic Group' distributed in hill of the uppermost stream part in the watershed of Jangjae stream in Cheonan, Chungnam Province. To do this, we classified the hill of the object of investigation where dwelling sites were distributed as 8 units of slope micro-landforms and again by combining them with the grade of gradient of 5 units subdivided them into ultra-micro-landforms of total 40 units. On the foundation of this, in the viewpoints of 'gradients of each of micro-landforms' analyzed the 'number of dwelling sites' and 'dwelling site distribution density (measure: number of dwelling sites/1000m²) of 'Cheonan Baekseokdong Relic Group'. As the result, the optimum landform environment where the dwelling sites were located were found to be largely 5 units of ultra-micro-landforms - ① flat land of crest flat, ② gentle slope land of crest flat, ③ flat land of crest slope, ④ gentle slope land of crest slope and ⑤ semi-gentle slope land of crest slope. This analyzed material will be used from now on as basic material which can predict the distribution of dwelling sites of Bronze Age men who dwelled in the watershed of Jangjae stream.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.1
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• pp.125-143
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• 2018

The study consisted of a survey of the residential satisfaction level of the 3rd grade students and a survey of accessibility from farms for practical field training to public facilities. According to the geographical location of the farms on the map, the average distance to facilities related to convenience or safety and health that students complained was about 12km. And that to social and public facilities was about 4.4km. Students pointed out the convenience of using transportation, commercial and convenient facilities, and the safety of anti-crime security facilities as complaints during the practice session. Residential satisfaction levels in five realms, such as facility and structure, convenience, safety, comfort and sociality, were not all reached at the satisfaction level. In particular, the satisfaction level of female students was sub-normal in the safety and convenience realms. The average satisfaction levels reviewed by department were sub-normal for horse industry and floriculture departments. By residential patterns, satisfaction with sharing with the farmers was higher than with other patterns. And satisfaction level by housing structure was much lower in the assembly and container structures Since residential satisfaction level is determined by the inside and outside environment of the dwelling, college should provide students with accurate and vivid data using information communication technologies.

• Journal of Environmental Impact Assessment
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• v.32 no.5
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• pp.305-317
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• 2023

This study suggested a citizen science based model to enhance the efficacy of the managing invasive alien plants and examined whose applicability in 3 Wetland Protected Areas (Jangrok of Gwangju metropolitan city, Madongho of Goseong in South Gyeongsang Province, and Ungok of Gochang in North Jeolla Province). The process consists of (a) collecting citizen scientist including local residents of 3 protected areas and piling up information on the 4 species of invasive alien plants (Sicyos angulatus L., Solanum carolinense L., Ambrosia artemisiifolia L. and Solidago altissima L) in a information platform Ecological Information Bank (EcoBank) from September 18th to October 31th, (b) constructing distribution map containing the location and density (3 phases: individual-population-community) of target plants, (c) providing distribution map to Environment Agency and local government who is principal agent of managing invasive alien plants in 3 protected areas, and from whom (d) surveying applications of the distribution map and opinion for future supplement. As a result, citizen science based monitoring should be continued to complement the nationwide information for the field management of invasive alien plants with the expansion of target species (total 17 plants species that Ministry of Environment in South Korea designated) and period of monitoring in a year to increase the usability of surveyed information from citizen science. In the long run, effectiveness of the management of invasive alien species applied by citizen science should be reviewed including efficacy of field management process from citizen's participating in elimination project of invasive alien plants and time series distribution followed by the management of the species.

• Land and Housing Review
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• v.14 no.4
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• pp.47-62
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• 2023

Using the dynamic panel model, this study investigates rent determinants for small and medium-sized office buildings in Korea's CBD and Gangnam areas, key business districts. The results reveal that rents for small and medium-sized office buildings in CBD and Gangnam areas are influenced by macroeconomic fluctuations and characteristics of buildings and locations, suggesting a market with both spatial consumer and investment goods attributes. There are several investment implications as follows. First, even if the location in the CBD area is advantageous, the practical limitations in renovating aging small and medium-sized office buildings must be taken into account when investing. Second, parking conditions are a key factor influencing rent prices in CBD areas, so evaluating the parking facilities and improvement potential of small and medium-sized office buildings is essential for investors. Finally, due to the high sensitivity of Gangnam's small and medium-sized office market to macroeconomic trends, it's vital to prioritize monetary policy shifts as a key factor in investment decisions.

• Tunnel and Underground Space
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• v.33 no.6
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• pp.508-518
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• 2023

This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

• Korean Journal of Plant Resources
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• v.37 no.2
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• pp.137-148
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• 2024

The purpose of this study is to investigate the weather, soil characteristics, and location environment of Pimpinella brachycarpa natural habitats in order to gather the essential information for the conservation of these habitats. P. brachycarpa are distributed throughout Korea and are mainly found to grow in shady and humid areas between 500 and 1,200 m above sea level. The average annual temperature in Mt. Duta was 13.1℃, and the average annual precipitation in Mt. Jungwon was 1,509 mm, which was higher than in other regions. The pH ranged from 4.42 to 4.97, indicating slight acidity. The total N content ranged from 0.18% to 0.68%, and the available P ranged from 13.43 to 531.56 mg/kg, demonstrating notable regional variations. The species diversity index (H') was highest at Mt. Ilwol, measuring 1.713. The evenness (J') ranged from 0.983 to 0.993, and the dominance (D') ranged from 0.007 to 0.017. The similarity index was very low, averaging 24.86%, and it was divided into communities of Wilson's elm (Ulmus davidiana var. japonica) and communities of Korean maple (Acer pseudo-siebodianum).

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.69-75
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• 2024

This paper proposes an IoT-based indoor autonomous driving system that applies SLAM (Simultaneous Localization And Mapping) and Navigation techniques in a ROS (Robot Operating System) environment based on TurtleBot3. The proposed autonomous driving system can be applied to indoor autonomous wheelchairs and robots. In this study, the operation was verified by applying it to an indoor self-driving wheelchair. The proposed autonomous driving system provides two functions. First, indoor environment information is collected and stored, which allows the wheelchair to recognize obstacles. By performing navigation using the map created through this, the rider can move to the desired location through autonomous driving of the wheelchair. Second, it provides the ability to track and move a specific logo through image recognition using OpenCV. Through this, information services can be received from guides wearing uniforms with the organization's unique logo. The proposed system is expected to provide convenience to passengers by improving mobility, safety, and usability over existing wheelchairs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.49-62
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• 2024

Reckless development of the underground by rapid urbanization causes inspection delay on replacement of existing structure and installation new facilities. However, frequent accidents occur due to deviation in construction design planned by inaccurate location information of underground structure. Meanwhile, the electrical resistivity survey, knowns as non-destructive method, is based on the difference in the electric potential of electrodes to measure the electrical resistance of ground. This method is significantly advanced with multi-electrode and deep learning for analyzing strata. However, there is no study to quantitatively assess change in electrical resistance according to geometric conditions of structures. This study evaluates changes in electrical resistance through geometric parameters of electrodes and structure. Firstly, electrical resistance numerical module is developed using generalized mesh occurring minimal errors between theoretical and numerical resistance values. Then, changes in resistances are quantitatively compared on geometric parameters including burial depth, diameter of structure, and distance electrode and structure under steady current condition. The results show that higher electrical resistance is measured for shallow depth, larger size, and proximity to the electrode. Additionally, electric potential and current density distributions are analyzed to discuss the measured electrical resistance around the terminal electrode and structure.

• Knowledge Management Research
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• v.24 no.4
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• pp.131-152
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• 2023

One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.