• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.268-271
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• 2018

Smart Airport which applies the new ICT technologies to the airport is a future airport to provide convenient and safe services for passengers who are airport users, and promote the efficient management of the airport system in point of airport operator's view. The ranges of smart airport include the overall area of the airport like land side, terminal, and air side. In this paper, we propose a technical solution for airport process of terminal providing passenger convenience in various ranges for smart airport realization. Self-service such as web or mobile check-in, self check-in/tagging/back drop/boarding etc. should be strengthened to smartize the airport process and technologies such as automatic immigration, smart security search and automatic AI-based baggage search should be applied. In this paper, we explain the concept of smart airport and smart process, and then propose technical considerations.

• Electronics and Telecommunications Trends
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• v.34 no.2
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• pp.73-82
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• 2019

Airport is shifted airport 1.0 to airport 4.0 called smart airport and services paradigm is changed into direction to point the customer targeted benefits. Smart airports make use of integrated Internet of Things components to provide added-value services. By integrating smart components, airports are being exposed to a larger attack surface and new attack vectors. Self-services such as web or mobile check-in, self check-in/tagging/back drop/boarding, etc. should be strengthened to make airport processes smarter, and technologies such as automatic immigration, smart security search, and automatic AI-based baggage search should be applied. In this paper, we describe the necessity and importance of smart airports and next generation security screening technology. Further, we describe a walk through-type smart security screening system.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.172-177
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• 2023

The main purpose of the research was to review the global trends of airport's smart security technologies. Moreover, using the case studies of airport using smart security, this paper tried to propose the implication how the findings through the case studies may be important for airport policy and will impact the future research of airport operation. It is expected in the future the aviation security technology with biometric information evolves from single identification to multiple identification technology which has combined application of iris, vein and others. Facing post COVID-19 era, the number of passengers traveling through airports continues increase dramatically and the risks as well, the role of AI becomes even more crucial. With AI based automated security robotics airport operators could effectively handle the growing passenger and cargo volume and address the associated issues Smart CCTV analysis with A.I. and IoT applying solutions could also provide significant support for airport security.

• Journal of Advanced Navigation Technology
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• v.16 no.3
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• pp.526-535
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• 2012

Digital signage in airport is used to provide the flight and airport information to the airport passenger. However, the current digital signage displays one type of contents to all of the airport customers without considering the type of the customer. Thus, the digital signage suffer from the inefficiency problem resulting in lower customer satisfaction. This problem can be solved if we adopt a smart digital signage which can recognize the type of the customer and provide the tailored contents. In this study, we report a smart digital signage using age recognition. Our smart digital signage can recognize the age of the customer in real-time, and provide the tailored contents to the customer. The smart digital signage can improve the airport customer satisfaction and the airport work efficiency by providing the information that is needed by the airport customers.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.2
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• pp.129-134
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• 2013

The airport processes are restricted by some limits of performance objects as size of airport, ability of human resources, capacity of facilities and operational rules. These limitations make passenger handling difficult when passenger numbers increase. In order to solve this problem, we modeled the airport process and analyzed departure passenger arrival, scheduled security manpower under specific customer service level maintenance with mixed integer programming and validate the efficiency with simulation with adapting smart airport framework. We concluded that the airport management with information techniques can reduce waiting time within security and immigration process.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.795-806
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• 2019

Purpose: The purpose of this study was to propose useful suggestions by analyzing the causal relationship between technology-based self-service for smart airport and intention to use. Methods: The data was collected by using the structured questionnaires. The proposed research model is tested using 231 valid questionnaires by R.3.2.1 plspm package. Results: The results of this study are as follows; the effecting factors of technology based self service for introducing smart airport, it was found that the effects of personal innovativeness and enjoyment and responsiveness, social impact were significant for acceptance and personal innovativeness was not significant on perceived usefulness. This study suggests significant factors on the implementation of smart airports and technology-based self-service. It also introduced new technologies in the future by looking at various characteristic factors that affect the intention of using technology-based self-service to promote smart airports. Conclusion: Airports and aviation industries need to have easy access to the airport's technology-based self-services to build a successful smart airport and create an environment that can be used appropriately at the time the customer wants. Also when customers use technology-based self-service devices, they should consider to maximize the positive emotions (emotional values such as pleasure or fun) that customers feel.

• Journal of Advanced Navigation Technology
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• v.16 no.3
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• pp.536-544
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• 2012

Digital signage provides flight and airport information to the airport visitors and passengers. However, the digital signage has efficiency problem by displaying one type of advertisement to every customers regardless of their personality. We may solvel the inefficiency problem by using a smart digital signage which can recognize the characteristics of the customer We presents a smart digital signage with sex recognition function. The smart digital signage can recognize the sex of the customer to display the custom-made advertisement in realtime so that we can increase the satisfaction level of the airport passengers and visitors.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.307-308
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• 2021

2020년 7월 정부는 포스트 코로나 시대를 선언하며, 한국판 뉴딜 정책을 발표하였다. 한국판 뉴딜은 디지털인프라 구축, 비대면 산업육성, SOC 디지털화를 기본방향으로 내세웠으며 빅데이터, 인공지능(AI), 사물인터넷(IoT) 등 4차산업 핵심기술의 육성방안을 제시하였다. 최근 인천공항은 한국판 뉴딜 정부정책에 부응하기 위해 인천공항 K-뉴딜 프로젝트를 추진 중이며, 세부 전략과제로 자산관리의 디지털전환을 위한 IoT기반 스마트 자산관리시스템을 구축 중이다. IoT기반 스마트자산관리시스템은 인천공항에 위치한 실내외 이동형 자산에 대해 끊김없는 위치정보를 제공하는 시스템으로 기존 시스템(RFID) 대비 약 4억 원의 인적, 물적 자원을 절감하는 효과를 나타낼 것으로 예상된다. 본 논문에서는 IoT기반 스마트 자산관리시스템의 핵심기술인 실내외 연속측위 스마트 트래커와 네트워크의 구성, 저전력 위치정보 제공방법을 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.305-306
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• 2021

본 논문에서는 인천공항 Airside와 Landside에 위치한 자산의 효율적인 관리를 위한 사물인터넷(IoT) 기반 스마트 자산관리 시스템의 구성과 실증을 제시한다. IoT기반 스마트 자산관리시스템은 위치정보를 생성하는 IoT 태그와 게이트웨이, 수집된 위치정보를 수신하고 표출하는 서버로 구성되어 있으며, IoT 태그를 자산에 부착하여 자산의 실내외 위치정보를 자산관리 시스템에서 실시간으로 확인할 수 있다. 실내 위치정보는 BLE(Bluetooth Low Energy)를 통해 취득하며, 실외 위치정보는 GPS와 LoRa(Long Range)를 통해 취득 가능하다. 개발한 시스템의 성능 검증을 위해 인천공항 제1여객터미널 내 기설치된 AP를 활용하였으며, 공항 전역을 커버할 수 있는 LoRa Gateway를 설치하였다. 개발한 자산관리 시스템은 공항이 보유한 자산의 도난 방지 등 효율적인 관리 와 공항운영에 기여할 것으로 예상된다.

• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.380-385
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• 2019

This paper is concerned with departure passengers' dwell time analysis using real system data. Previous researches emphasize the importance of dwell time analysis from perspective of airport terminal planning and non-aeronautical revenue. However, short-term airport operation using passengers' dwell time is considered impossible due to absence of passengers' behavior data. Recently, in accordance with the wave of smart airport, world leading airports are systematically collecting passenger data. So there is high possibility of analyzing passengers' dwell time with the data stacked in the airport database. We conducted dwell time analysis using data from Incheon Int'l airport. In order to handle passenger data, we adapted clustering algorithm which is one of data mining techniques. As a clustering result, passengers are divided into 3 clusters. One is the cluster for passengers whose dwell time is relatively short and who tend to spend longer time in the airside. Another is the cluster for passengers who have near 3 hours dwell time. The other is the cluster for passengers whose total dwell time is extremely long.