• Title/Summary/Keyword: 항공물류

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An Analysis on the Utilization of STAR (Standard Terminal Arrival Route) and CDO (Continuous Descent Operation) Flight Ratio in the Domestic Airport (국내 표준계기도착절차(STAR)의 활용도 및 연속강하접근 운항 비율 분석)

  • ChoongSub Lee;JuHwan Lee;JangHoon Park;HoJong Baik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.30 no.4
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    • pp.132-144
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    • 2022
  • In response to the recent surge in aviation demand, major airport and aviation authorities continue to make efforts to formulate arrival procedures that take into account efficient aircraft separation, noise and environmental issues related to carbon (CO2) emissions. In order to ensure efficient traffic control and environmental issues, as a result, a new concept Trombone, Point Merge, etc. have been introduced and widely used. However, these new concept incisions are becoming a factor that hinders operational efficiency and stability due to the restricted domestic airspace such as military airspace and excessive constraints of altitude, speed, etc. which do not reflect the concept of continuous descent operation and eventually needs to be modified to make continuous descent operation as feasible as possible. We herewith analyze and propose the way of improving flight safety and efficiency in the arrival operation procedure by supplementary modification which consequently contribute to the aviation industry international competitiveness.

A Study on the Pressure Patterns that Causes Bidirectional Tailwind on the Runway of Jeju International Airport (제주국제공항 활주로에 양배풍을 유발하는 기압 패턴에 관한 연구)

  • Jinho Cho;Kangmin Lee;Hojong Baik;Janghoon Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.3
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    • pp.93-102
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    • 2023
  • Jeju International Airport is characterized by the occurrence of low-level windshear due to its location, surrounding terrain, and its weather characteristics. Especially the low-level windshear accompanied by tailwinds on both sides of the runway i.e., bidirectional tailwind, is a hazardous weather phenomenon with unique characteristics that are difficult to find at any other airports. This study focuses on bidirectional tailwind occurrence at Jeju International Airport in 2020-2021. As a result, characteristic pressure patterns of the types that cause bidirectional tailwind was identified as it was possible to categorize strong wind types such as 1) strong southwest wind, 2) strong east wind, and 3) strong northwest wind, which do not cause bidirectional tailwind, and wind direction variation types such as 4) bidirectional tailwind, and 5) south wind followed by southwest wind, which cause bidirectional tailwind. The results of this study are expected to contribute to improving aviation safety by enabling aviation operators to predict and take appropriate safety measures based on their understanding of the causes and characteristics of bidirectional tailwind.

Implementation of Smart Logistics Warehouse System (스마트 물류창고 시스템)

  • Sang-Sam Yeo;SeungJin Kim;NamYoung Heo;TaeMin Park;HyungChul Joo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.267-268
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    • 2024
  • 한국통합 물류협회에 따르면 총 택배 물량은 2020년은 약34억 개, 2021년은 약36억 만 개로 매년 꾸준히 성장하였다. 택배 물류센터에서 택배를 고객에게 전달시키기 위해서는 포장, 검수, 진열, 파지, 상차, 하차 등 많은 공정이 필요하다. 고용 인력의 부족, 인건비 상승, 부상의 위험, 높은 노동의 강도 등의 문제가 발생하였고, 소비자들의 입장에서도 제품 손상 또는 배송 지연 등의 여러 가지 문제를 야기해왔다. 본 논문은 로봇과 자율주행 기술을 활용하여 상품의 분류 및 배송과정을 자동화 하는 '스마트 물류창고 시스템'을 제안한다. 컨베이어 벨트를 이용해 택배물품의 분류를 자동화하고 자율주행 차량을 통해 배송을 하게 되고 DB를 통해 물품을 관리하게 되어 효율적인 운영을 가능하게 하고 경제적 손실을 줄인다. 적외선 센서, 바코드 센서를 이용해 컨베이어 벨트 구동 및 물품의 정보를 알 수 있으며 서보모터로 물품을 분류한다. 또한 입출고 차량이 명령을 통해 물품을 자동으로 입고 및 출고하여 DB에게 물품의 정보를 전송한다. 스마트 물류창고 시스템을 통해 인건비 절감, 오 배송, 물품 파손 등이 사라지게 되고 물류창고 뿐만 아니라 다양한 분야에서 적용 할 수 있을 것이다.

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A Study on the Visualization of an Airline's Fleet State Variation (항공사 기단의 상태변화 시각화에 관한 연구)

  • Lee, Yonghwa;Lee, Juhwan;Lee, Keumjin
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.2
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    • pp.84-93
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    • 2021
  • Airline schedule is the most basic data for flight operations and has significant importance to an airline's management. It is crucial to know the airline's current schedule status in order to effectively manage the company and to be prepared for abnormal situations. In this study, machine learning techniques were applied to actual schedule data to examine the possibility of whether the airline's fleet state could be artificially learned without prior information. Given that the schedule is in categorical form, One Hot Encoding was applied and t-SNE was used to reduce the dimension of the data and visualize them to gain insights into the airline's overall fleet status. Interesting results were discovered from the experiments where the initial findings are expected to contribute to the fields of airline schedule health monitoring, anomaly detection, and disruption management.

Design and Implementation of RFID-based Airway Logistics System for Ubiquitous Environments (유비쿼터스 환경을 위한 RFID 기반의 항공 물류 시스템의 설계 및 구현)

  • Jang, Sung-Ho;Ma, Yong-Beom;Noh, Chang-Hyeon;Park, Yang-Jae;Kim, Kyo-Hyeon;Cha, Heung-Suk;Lee, Jong-Sik;Kim, Jea-Moung
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.297-306
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    • 2007
  • Bar-code based airway logistics systems have many problems like freight loss and data management error due to semiskilled air-cargo process and individual information system. To solve these problems, this paper analyzed how to process an air-cargo practically and designed and implemented the RFID-based airway logistics system. This system has an information service system which manages data from RFID systems in realtime and provides a communication interface for data sharing. And, this system precesses data queries from capture applications and access applications to provide various services to users such as the freight track and trace service. Also, this system includes a H/H reader agent to integrate existing bar-cord systems. It allows us to realize automation and information-oriented air-cargo process and achieve improvement of air-cargo services with reduction of freight loss and management error.

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