• Journal of The Geomorphological Association of Korea
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• v.21 no.4
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• pp.1-17
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• 2014

This study analyzed characteristics of landform relieves on 12 bedrock whole(W) areas and 24 mountain(M) and valley(V) areas. Based on this result, characteristics and relations between bedrocks and landform relief were classified as follows. 1) gneiss-height M and granite-height W, M, V areas show active stream incision for uplift. However these areas have relatively low relief and grade compared to high altitude, because effect of denudation don't pass on whole slope. 2) gneiss-height W, V, gneiss-mid M, schist M, granite-mid M, volcanic rock W, M, sedimentary rock-height(conglomerate) W, M, V, sedimentary rock-mid (sandstone and shale) M, limestone W, M areas have active stream erosion and mass movement, but landform relieves are on the high side, because these have resistant bedrock and geological structure against weathering and erosion. 3) gneiss-mid W, V, schist W, V, granite-mid W, V, volcanic rock V, sedimentary rock-mid W, V, sedimentary rock-low(shale) M, limestone V areas landform relieves are on the low side, because these have weak resistance and active weathering, mass movement, erosion, transportation and deposit. 4) gneiss-low W, M, V, granite-low W, M, V, sedimentary rock-low W, V areas landform relieves are very low, because these don't have active erosion and mass movement as costal area with low altitude.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.119-128
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• 2019

This study aims to analyze the research trends on Smart City and to present implications to policy maker, industry professional, and researcher. Cities around globe have undergone the rapid progress in urbanization and the consequent dramatic increase in urban dwellings over the past few decades, and faced many urban problems in such areas as transportation, environment and housing. Cities around the globe are in a hurry to introduce Smart City to pursue a common goal of solving these urban problems and improving the quality of their lives. However, various conceptual approaches to smart city are causing uncertainty in setting policy goals and establishing direction for implementation. The study collected 11,527 papers titled "Smart City(cities)" from the Scopus DB and Springer DB, and then analyze research status, topic, trends based on abstracts and publication date(year) information using the LDA based Topic Modeling approaches. Research topics are classified into three categories(Services, Technologies, and User Perspective) and eight regarding topics. Out of eight topics, citizen-driven innovation is the most frequently referred. Additional topic network analysis reveals that data and privacy/security are the most prevailing topics affecting others. This study is expected to helps understand the trends of Smart City researches and predict the future researches.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.14-24
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• 2018

Pedestrian movement of passengers using smart card within stations can be divided into three types of activities - straight ride and alight, line transfer, and station transfer. Straight ride and alight is transfer activity for which the card terminal and embarking line are identical. In this case, straight ride occurs at the origin station and straight alight occurs at the destination station. Line transfer refers to activity in which the subway line embarked on by the passenger is different from that which is disembarked. Succinctly, line transfer is transfer at a middle station, rather than at origin or destination stations. Station transfer occurs when the card terminal line and embarking line are different. It appears when station transfer happens at the origin station as starting transfer, and at the destination station as destination transfer. In the case of Metropolitan smart card data, origin and destination station card terminal line number data is recorded, but subway line data does not exist. Consequently, transportation card data, as it exists, cannot adequately be used to analyze pedestrian movement as a whole in subway stations. This research uses the smart card data, with its constraints, to propose an analysis model for passenger pedestrian movement within subway stations. To achieve this, a path selection model is constructed, which links origin and destination stations, and then applied for analysis. Finally, a case study of the metropolitan subway is undertaken and pedestrian volume analyzed.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.566-576
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• 2018

The C-ITS requires the lane level positioning of the vehicle in the land transportation environment, and it is most effective to utilize the GNSS. In the precision positioning system based on satellite navigation, the evaluation of dynamic environment of lane level positioning performance should be accompanied and the evaluation system configuration should be preceded. In this paper, we selected performance indicators, assessment equipment, and reliability of reference equipment for evaluation of precision positioning user systems based on the GNSS. The performance evaluation system described above is applied to a real system, and the performance evaluation tool developed for the evaluation system is described. The numerical performance evaluation was carried out based on the data collected by carrying out the actual testbed driving. The performance evaluation by the actual driving trajectory and driving image comparison was performed to derive and analyse the evaluation results of the vehicle lane level positioning user system.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.421-428
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• 2019

This study includes services that require six professional guides - health care, exhibition performance, restaurant, shopping, business and daily life - as well as a trip-based tour, along with solving existing problems that may occur on domestic and overseas trips, and proposes services that connect users with proven professional guides. As a result of previous research, the most needed services among overseas travel were air tickets, accommodation, transportation, and guides, but as Korea enters an aging society, professional guide services are expected to increase daily demand. Based on this, the service technology, user scenarios and brand development were presented. This Service Proposal provides users with a personalized guide to knowledge or experience that they have not previously known, providing them with a wealth of experience. In addition, guides can help develop new fields of expertise and help improve professional guides' capabilities. Finally, the platform service is meaningful in that it enables the creation of jobs by enabling everyone to engage in economic activities, as it allows users to provide services through their own capabilities while at the same time being convenient for them.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.133-142
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• 2021

With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

• Korea Science and Art Forum
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• v.25
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• pp.449-461
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• 2016

This study was to investigate convention service quality that affect convention destination visiting values and intention to behavior from foreign convention attendances' perspectives. From the literature review, convention service quality and destination visiting value were discussed to provide logical linkage among proposed concepts. A total of 308 useful date were collected from on site survey at the convention centers in Seoul. Factor analysis and multiple regression analysis were performed to achieve the objective of this study. Factor analysis showed that there were four underlying dimensions in the convention service quality such as mutual human interaction, program quality, useful information, transportation and convenient facility. Multiple regression showed that these convention service quality affects destination visiting values and behavior intention. More discussion and implication are provided in the conclusion section.

• The Journal of Bigdata
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• v.6 no.2
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• pp.139-149
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• 2021

Ddareungi, a public bicycle service in Seoul, establishes itself as a means of daily transportation for citizens in Seoul. We speculated that the pattern of using Ddareungi may have changed since COVID-19. This study explores changes in using Ddareungi after COVID-19 with descriptive statistical analysis and network analysis. The analysis results are summarized as follows. The average traveling distance and average traveling speed have decreased over the entire time in a day since COVID-19. The round trip rate has increased at dawn and morning and has decreased in the evening and night. The average weighted degree and average clustering coefficient have decreased, and the modularity has increased. The clusters, located north of the Han River in Seoul, had a similar geographic distribution before and after COVID-19. However, the clusters, located south of the Han River, had different geographic distributions after COVID-19. Traveling routes added to the top 5 traffic rankings after COVID-19 had an average traveling distance of fewer than 1,000 meters. We expect that the results of this study will help improve the public bicycle service in Seoul.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.241-250
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• 2006

Although walking is an important transport mode which should be promoted, realistic studies about walking is not sufficient. Especially, due to the transportation planning oriented toward automobile, there is not realistic analysis method for walking in the Highway Capacity Manual. Therefore, in this study the fuzzy approximate reasoning was employed to build a model for the analysis of walkways service level. For the input variable the noise level and brightness as well as the pedestrian flow rate were employed and the output variable was the walking satisfaction degree. The fuzzy models were constructed for daytime and nighttime separately. The forecastability analysis for the models were conducted using $R^2$, MAE and MSE. The values of them for the daytime model are 0.802, 0.729 and 0.735 respectively and the values for nighttime are 0.893, 0.878 and 0.860 respectively, so it can be said that the models explain the real situation well. As a result of this study, it can be concluded that the noise level has stronger effects to walking satisfaction then the brightness in night.

• Journal of Advanced Navigation Technology
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• v.1 no.1
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• pp.81-94
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• 1997

The construction of Incheon International Airport(IIA) was planned in order to meet the national air transport demand which has been rapidly increased, and to be a major hub airport in Northeast Asia. However, it is inevitable to compete with Japanese airports because Japanese government also planned to expand greatly the airport capacity in Tokyo area and Kansai Airport in Osaka area. Since a hub airport should have convenient connecting flights to spoke cities, it is required for IIA to have plenty of short-haul flights to the cities around Seoul, for example, to the cities in East China, Japan and other East Asian countries. IIA authority and Korean national air carriers should coordinate to develop air transport demand for short-haul international route and establish efficient hub-spoke flight schedules. This would be a essential precondition to function as a hinterland hub in Northeast Asia. Reflecting the geographical position, the function as a hourglass hub could be possible, if IIA is utilised by major airlines as a bridge to connect passengers between cities in Southeast Asia and 'cities in North America. To be a successful hourglass hub, the Korean national carriers must try to engage in the joint operations or the alliances with the major airlines of Southeastern countries or North American countries. All of these could be accomplished through the cooperation among government, airport and national air carriers.