• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.59-77
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• 2016

This paper reviews the current local logistics policy of the Incheon Metropolitan City and prioritizes policy agenda based on fuzzy AHP and IPA (Importance Performance Analysis). The analysis recommends that the city needs to keep up the current good works at the policy agenda such as early expansion of the international logistics hub and improvement of the provincial highway network.The policy agenda including the logistics parks, the transport networks and the hinterland activities are evaluated as overkilled agenda. Revitalization of the logistics database, establishment of an integrated business support center, modal shift, and public logistics support were classified as low-priority policy agenda. The policy agenda of urgent concentration includes development of new logistics business and air cargo industry.

• Convergence Security Journal
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• v.21 no.1
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• pp.129-135
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• 2021

Greedy protocols show good performance in Vehicular Ad-hoc Networks (VANETs) environment in general. But they make longer routes causing by surroundings or turn out routing failures in some cases when there are many traffic signals which generate empty streets temporary, or there is no merge roads after a road divide into two roads. When a node selects the next node simply using the distance to the destination node, the longer route is made by traditional greedy protocols in some cases and sometimes the route ends up routing failure. Most of traditional greedy protocols just take into account the distance to the destination to select a next node. Each node needs to consider not only the distance to the destination node but also the direction to the destination while routing a packet because of geographical environment. The proposed routing scheme considers both of the distance and the direction for forwarding packets to make a stable route. And the protocol can configure as the surrounding environment. We evaluate the performance of the protocol using two mobility models and network simulations. Most of network performances are improved rather than in compared with traditional greedy protocols.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.1-15
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• 2020

As cities expand and underground utilities construction projects increase, there is an urgent need for a technology capable of analyzing the underground utilities network in 3D. Since 2015, 3D Underground Geospatial Map project, that has been integrating 15 types of underground information such as underground utilities, underground structures, and ground information, is in progress in S. Korea. However, the construction of 3D underground facilities is currently based on manual work and the logic for building a 3D model is very complicated. And it takes a lot of time and cost to process millions of large amounts of data per local governments. By presenting a framework on the processing and partial updating of the 3D underground utilities model, this paper aims to establish a plan to quickly build a 3D underground utility model at a minimum cost. The underground utilities processing and partial update automation technologies developed in this study are expected to be immediately applied to the 3D Underground Geospatial Map project.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.2
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• pp.39-48
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• 2021

Purpose: The study aims to demonstrate regional diagnosis methods and results combined with geographical information to expand the physical infrastructure related to community care services. To this end, the physical infrastructure for the core elements of community care was analyzed in terms of the fulfilment and access of facilities to derive the underserved elements and regions. Methods: Utilizes GIS network analysis techniques that can derive physical infrastructure service areas. Underserved elements are derived by comparing and analyzing the service area for each core element. Next, the underserved regions for each core element are derived through the overlapping of the set service area and the diagnosis population. Results: Among the physical infrastructure by core elements for community care, the housing support element was considerably weak, and the nursing care facility compared to health care was also analyzed to be weak. In addition, underserved regions by dong in Mapo-gu were deduced and presented for each diagnosed population. Implications: The discovery of underserved elements and underserved regions is meaningful as a diagnostic process that can derive the physical infrastructure that needs to be expanded urgently for the realization of community care and determine the priority projects and targets of the projects.

• Journal of Korea Planning Association
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• v.54 no.6
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• pp.68-79
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• 2019

The purpose of this study is to propose a transit accessibility analysis method based on temporal variability of travel time. In this study, transit accessibility was defined in three levels (in transit route, spot and region unit) to present findings from different spatial scopes. Recently, Jeju special self-governing province reorganized bus system of the island. To compare transit accessibility before and after transit policy implementation, the reorganized bus system of Jeju special self-governing province was selected as a case study. This study used General Transit Feed Specification (GTFS) data format as storage public transit information, and calculated travel time using ArcGIS GTFS networks analysis tools. In the analysis of individual transit route level, we found the 3 types of accessibility changes which is increments, no significant changes and reductions and these results come from transit route change (number of transfer, distance change) rather than changes of vehicle interval. We found increases of inflow and outflow speed in most target spots and overall transit accessibility has been substantially improved in Jeju island. This study implies that accounting for temporal variability of travel time in accessibility analysis can result in more useful and sophisticated accessibility information in decision-making processes.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.451-457
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• 2020

Diverse sensors are equipped on P-3C Maritime Patrol Aircraft for RoKN to detect and monitor tactical targets. Tactical targets are maintained/shared by tactical computer stations which consist of a clustering network in the aircraft and displayed in various ways on TSDs(Tactical Situation Displays) for mission operators to perform their specified missions. Korea peninsula is widely covered with the sea areas and neighboured with several countries; which makes huge number of ships and aircraft deployment around the place. Due to an increase in number of sensors and enhancement of their sensitivities; we were aware of the necessity of TSD improvements to provide huge number of tactical targets and to display them efficiently. In this paper, we propose a solution for the improvements by using previous backup data and re-usage of the data, then we verify the proposal through implementation and evaluation results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1447-1452
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• 2022

Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.738-750
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• 2022

In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.29-43
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• 2023

It is necessary to grasp the characteristics of traffic flow passing through a specific road section and the topological structure of the road in advance in order to quickly prepare a movement management strategy in the event of a disaster or disaster. It is because it can be an essential basis for road managers to assess vulnerabilities by microscopic road units and then establish appropriate monitoring and management measures for disasters or disaster situations. Therefore, this study presented spatial density, time occupancy, and betweenness centrality index to evaluate vulnerabilities by road link in the city department and defined spatial-temporal and topological vulnerabilities by clustering analysis based on distance and density. From the results of this study, road administrators can manage vulnerabilities by characterizing each road link group. It is expected to be used as primary data for selecting priority control points and presenting optimal routes in the event of a disaster or disaster.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.403-403
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• 2023

도시화로 인한 생활, 공업, 농업용수의 수요는 증가하지만, 이를 해결하기 위한 댐 건설은 생태계의 단절, 수몰 지역 생성 등의 이유로 비판적인 여론이 많아 신규 수자원 확보가 어려워지고 있다. 따라서 우리는 신규 수자원을 확보하기보다 기존 수자원의 물관리 체계를 개선하고 합리적인 물 배분 기술을 개발할 필요가 있다. 이중 농업용수의 회귀 수량에 대하여 알아볼 필요가 있다. 수리 시설물에서 공급된 농업용수는 전량 작물에 의해 소비되는 것이 아니며, 포장으로 공급되지 않고 용수로를 통해 배수되기도 한다. 포장으로 공급된 수량은 물꼬를 넘어 배수되기도 하고, 일부는 침투되어 지하수를 통해 흘러나가기도 한다. 이 와 같이, 농업용수 공급량 중 소모되지 않고 하천으로 유입되는 수량을 관계 회귀 수량이라 한다. 따라서 본연구에서는 농업에 소모되지 않고 하천으로 유입되는 회귀수량을 정확히 조절할 수 있도록 농업용수 회귀수량을 계산하는 모델을 구현하였다. SWMM(Storm Water Management Model)은 도로, 도랑, 관로, 초지 등 주로 도시지역의 강우-유출-지표면 유출을 해석하는 모델이며 농지의 수로네트워크 특성을 잘 반영할 수 있다는 장점이 있다. 이번 연구에서는 용수로를 개수로로 고려하여 테스트베드 모형을 구축할 것이다. SWMM은 농업용수 물순환 모의를 위해 이미 활용되고 있으나 논에서의 증산량이 미반영되며 수혜지역 내의 지하수위가 미반영 되는 등 정확한 물순환 모의를 위해서 한계점 개선이 필요하다. 이 한계점 개선을 위해서 회귀수량 공식을 c언어로 구현 후 EPA SWMM의 소스코드를 활용하여 회귀수량 추정이 가능한 SWMM을 구현하였다. 해당 연구를 통해 농업용수의 회귀수량을 계산하여 정확한 물수지 분석이 가능하여 농업지역의 수자원 확보에 도움을 줄 것이다.