• Tunnel and Underground Space
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• v.29 no.1
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• pp.1-11
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• 2019

This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

• Journal of Korea Planning Association
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• v.54 no.2
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• pp.93-108
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• 2019

This study examines the relationship between three-dimensional urban built environment and urban surface temperature using LANDSAT 8 satellite image data in Seoul city. The image was divided into 600m×600m grid units as an unit of analysis. Due to the high level of spatial dependency in surface temperature, this study uses spatial statistics to take into account spatial auto-correlation. The spatial error model shows the best goodness of fit. The analysis results show that the three-dimensional built environment and transport environment as well as natural environment have statistically significant associations with surface temperature. First, natural environment variables such as green space, streams and river, and average elevation show statistically significant negative association with surface temperature. Second, the building area shows a positive association with surface temperature. In addition, while sky view factor (SVF) has a positive association with surface temperature, surface roughness (SR) shows a negative association with it. Third, transportation related variables such as road density, railway density, and traffic volume show positive associations with surface temperature. Moreover, this study finds that SVF and SR have different effects on surface temperature in regard to the levels of total floor areas in built environment. The results indicate that interactions between floor area ratio (FAR) and three-dimensional built environmental variables such as SVF and SR should be considered to reduce urban surface temperature.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.25-30
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• 2024

Smart City, a key application area of the AIoT (Artificial Intelligence of Things), provides various services in safety, security, and healthcare sectors through location tracking and location-based services. an IPS (Indoor Positioning System) is required to implement location-based services, and wireless communication technologies such as WiFi, UWB (Ultra-wideband), and BLE (Bluetooth Low Energy) are being applied. BLE, which enables data transmission and reception with low power consumption, can be applied to various IoT devices such as sensors and beacons at a low cost, making it one of the most suitable wireless communication technologies for indoor positioning. BLE utilizes the RSSI (Received Signal Strength Indicator) to estimate the distance, but due to the influence of multipath fading, which causes variations in signal strength, it results in an error of several meters. In this paper, we conducted research on a path loss model that can be applied to BLE IPS for proximity services, and confirmed that optimizing the free space propagation loss coefficient can reduce the distance error between the Tx and Rx devices.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.337-350
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• 2017

As interactive digital signages with computer network have been increasingly popular in public space, the needs for studying content types and interactions suitable for the digital signages are emerging. In this study, we aim to find out what contents are preferred to share and how to interact in the digital signage installed in Seoul subway stations. We conduct a case study, a survey, and an in-depth interview. In the case study, we collect content types which have been communicated in public space. Among these content types, we conduct a survey to find out the preferred contents of Seoul citizens. We observe that the preferred contents differ by the age of the citizens. Specifically, 20's prefer the subjects about personal interests, 40's choose public interests and 30's prefer both types. In addition, we observe that the subjects about personal interest are relatively less preferred when people read, whereas the subjects are preferred when people write. Lastly, regarding interaction type, we find that Seoul citizens prefer touching the screen directly to using smart phone to express their empathy. The contents that people write and the number of likes will be archived as big data and analyzed so that Seoul city officers and citizens will know what people think based on age, location, and subjects.

• Journal of the Korean Society for Railway
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• v.19 no.2
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• pp.243-250
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• 2016

As sustainable growth has been emphasized in the field of transportation, the railway system has been promoted as an environmentally-friendly transport mode. However, mode shifts from other transport modes to railway have been sluggish. In this context, to enhance the understanding of railway's competitive advantages and disadvantages, this research evaluates travelers'preferences for public transport modes for inter-regional trips: such understanding should make it possible to formulate effective policy for promoting railways. To this end, passenger recognition of competitive transport modes has been measured by applying multidimensional scaling analysis for six major inter-regional public transport services - KTX, ITX-Samaeul, Mugunghwa-ho, premium express bus, general express bus, and airline. As a result, we can conceptualize the recognition similarity in two-dimensional space, and understand how travelers perceive the six major transport modes.

• Archives of design research
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• v.17 no.2
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• pp.323-334
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• 2004

This study is concerned about activation factor and characteristic of street design through survey that in Tokyo, Japan. The factor is largely distinguished form physical and non physical factors, these are institution programs, circulation of goods, space programs as culture and history, and they are form of city, structures, street, open spaces, trees, street furnitures. The investigation about sites that Shinjuku, Shibuya, Harajuku, Ueno, and Ikebukuro, is resulted in dose-by public transportation, concerned with historic relationship, and increased in special experience of life. It is caused from controlling the law and rules, and making the sufficient infrastructures, and protecting a policy, and specializing with brand effect and place-marketing. The Street furniture emphasize to making street design. This conclusion is that involving physical and non physical factors, activate street design in making places.

• Tunnel and Underground Space
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• v.26 no.2
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• pp.87-99
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• 2016

We developed a Windows-based program for discrete event simulation of truck-loader haulage systems in an underground mine. The Daesung MDI limestone mine located in Samcheok City, Gangwon Province, Korea was selected as the study area to design the program. The developed program is composed of the graphic user interface (GUI) and simulation engine implemented by Visual Basic.NET 2012 and the GPSS/H simulation language, respectively. When a user sets up input parameters for the discrete event simulation through GUI, the program activates the simulation engine, and then simulation results are displayed on GUI. This paper describes the details of the program development as well as its applications to the study area to determine the optimal number of trucks dispatched at each loading point under different operating conditions.

• The Journal of shipping and logistics
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• v.34 no.4
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• pp.677-694
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• 2018

The ocean is a unique space for exchange with the city, forming an organic relationship between people and waterfront areas. The marine healing industry improves quality of life through medical care and well-being, and creates added value by combining with the medical industry. The policy analysis results are as follows. First, the marine healing industry is the newest high-growth area. Furthermore, a professional medical service hospital is the first priority. This will include the development of marine healing facilities and strengthening forest healing connectivity, emphasizing the development of highly specialized medical technologies. The second priority is value creation in marine healing specialization, accompanied by an integrated and systematic policy for research and development of new medicines in marine healing effects. It is also important to apply new market trends and develop applied marine healing service programs. Thirdly, it is necessary to explore the possibility of a fragmented market for policy development.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.45-53
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• 2019

As the urbanization progresses, the demand for parking in large cities surges compared with that for parking lots. However, the space for securing a parking lot in a large city is physically limited and a budget problem also arises. Therefore, a shared parking system that can utilize existing parking lots is becoming important. This study was carried out to analyze the parking area efficiently for the residents parking area. As a result of the questionnaire survey, it was the most frequent passage to work / commuting and business purposes. The most important factors in parking were 'Parking charge', 'Walking distance to the destination after parking', 'Parking lot searching time' Approximately 46 % of the respondents were female. As a result of the quantitative analysis of the factors influencing the potential use of the intention to use as a dependent variable, it was analyzed that the policy was effective to reduce the parking fee to less than 500 won per 10 minutes and take about 3-6 minutes to search.

• KSCI Review
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• v.14 no.2
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• pp.147-152
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• 2006

Data size of moving current GIS great exponentially from 2D to 3D and the processing speed becomes slow thereby and user's real time rendering request is growing. Have problem that time and expense to process data of bulky quantity produce constraint condition of the processing speed. third dimension processing skill, virtual reality processing skill etc. and third dimension GIS about space data of bulk much overmuch to materialize. In this paper DEM data that acquire from satellite or aviation solve these problem embody virtual city in web save topography information that visualization to 3D visualization by VRML, and use modelling tool and acquire 3D campus information for building and road. 3D information acquired this to express texture and natural gifts that have truth stuff more to thing through near texture mapping work 3D imagination illustration of web based embody can.