• Title/Summary/Keyword: Number of Passengers

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Deep Learning based Distress Awareness System for Small Boat (딥러닝 기반 소형선박 승선자 조난 인지 시스템)

  • Chon, Haemyung;Noh, Jackyou
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.5
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    • pp.281-288
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    • 2022
  • According to statistics conducted by the Korea Coast Guard, the number of accidents on small boats under 5 tons is increasing every year. This is because only a small number of people are on board. The previously developed maritime distress and safety systems are not well distributed because passengers must be equipped with additional remote equipment. The purpose of this study is to develop a distress awareness system that recognizes man over-board situations in real time. This study aims to present the part of the passenger tracking system among the small ship's distress awareness situational system that can generate passenger's location information in real time using deep learning based object detection and tracking technologies. The system consisted of the following steps. 1) the passenger location information is generated in the form of Bounding box using its detection model (YOLOv3). 2) Based on the Bounding box data, Deep SORT predicts the Bounding box's position in the next frame of the image with Kalman filter. 3) When the actual Bounding Box is created within the range predicted by Kalman-filter, Deep SORT repeats the process of recognizing it as the same object. 4) If the Bounding box deviates the ship's area or an error occurs in the number of tracking occupant, the system is decided the distress situation and issues an alert. This study is expected to complement the problems of existing technologies and ensure the safety of individuals aboard small boats.

An analysis of th cause of passenger ship accident -from the perspestive of policy non-compliance (여객선사고의 원인분석 -정책불응의 관점을 중심으로)

  • 배점모
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.3 no.1
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    • pp.51-71
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    • 1997
  • As passenger ship accidents so frequently have occurred, crisis consciousness is highly aroused in Korean society. Although bombastic policy guidlines were suggested in accordance with every passenger ship accident, there remains a still high possibility of such an accident reoccurring because passenger ship accidents occur from the perspective of non-compliance. The research objective of this study is to government's safety regulatory policies. Data for the analysis was collected from literature review. A Case study related to passenger ship accident is adopted for the analysis. The research methods utilized in this study consist of extensive quantitative analysis of 138 passenger ship accidents which had happened over last 10 years from 1984 to 1993 in Korea and a qualitative analysis of the passenger ship accident of the Seohae Ferry in October 1993. The results of the quantitive analysis on the 138 passenger ship accidents are as follows; Seeing the accidents yearly, the accidents which occurred by policy non-compliance are still exist, only somewhat reduced as years gone by. Seeing the accidents from the perspective of types of accident, fire accidents and death and injury accidents had more non-compliance factors than contact accidents and one-side collision accidents, etc. had. Seeing the accidents from the perspectives of types of passenger ship, large ships like car ferries and general passenger ship accidents had more non-compliance factors than any other kinds of ships had. Seeing the accidents from the perspectives of tons of passenger ships, large ships weighing more than 1, 000 tons and small ships weighing less than 50tons contained a lots of non-compliance factors. The results of the qualitative analysis of the passenger ship accident of the Seohae Ferry in Octovber 1993 are as follows; From the viewpoint of the human factor, there were non-compliance to the recruiting of required number of qualified crew members and non-compliance to the rule which prohibited them from leaving port in bad weather and high wave conditions. From the viewpoint of the ship factor, there were defects in the ship. So we might say that there was non-compliance which was aroused from the lacks of technical skills. From the viewpoint of the administrative factor, there were many non-compliance factors such as sailor education, shipping management, rescue, safety equipment. From the viewpoint of the passenger factor, there were passengers' threats which compelled the crews to leave the port under bad weather conditions. In conclusion, the principal non-compliances factors are passenger ship company did not follow safety rules such as shipping the permitted number of passengers, loading permitted tons of freight and fastening freights properly and recruiting required number of qualified crew. In order to reduce accidents, firstly we should find out the causes which play key roles in passenger ship companies' non-compliance to the government's safety regulations. Secondly we should tackle the causes.

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Integrated Equity Analysis Based on Travel Behavior and Transportation Infrastructure: In Gyeonggi-Do Case (교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석: 경기도를 중심으로)

  • Bin, Miyoung;Lee, Won Do;Moon, Juback;Joh, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.31 no.4
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    • pp.47-57
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    • 2013
  • This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.

The clinical study of the 47 traffic accident victims (교통사고 환자 47례에 대한 임상적 고찰)

  • Kim, Min-jeong;Lee, Su-hong;Kim, Kyung-ho
    • Journal of Acupuncture Research
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    • v.17 no.3
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    • pp.250-264
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    • 2000
  • A retrospective study has been carried out for 47 cases of traffic accident victims which was entered to the Dongguk Bundang O. M. Hosp. from Jan 1, 1999 to May 4, 2000. This study was focused on finding out the distribution, pattern of the traffic accidents, clinical characteristics of the patients, motives of their choosing oriental medical treatments, the kinds of oriental medical treatment. This results were as follows : 1. The highest incidence was shown in the age of twenties to thirties as much as 59.6% and the ratio of male to female was 17:30. 2. 80.9% of all patients was injured by car accidents. 68.2% of all patients was injured as drivers and passengers and 19.2% was injured as pedestrians. The highest type in the collision between cars, was rear impact. 3. The number of patient(61.7%) via other hosp. was more than that of the first visitor(38.3%) to our hosp. 4. In admission motives, The patients who had been treated by western medical treatment, expressed the dissatisfaction of that treatment, so hoped to be treated by oriental medical styles. Also The others wanted to be treated by oriental medical methods in the reason of no deep surgical, orthopaedical lesions 5. C-spine sprain(80.9%) was the most frequent out of all patients's diagnosis and then L-spine sprain(51.1%), contusion(46.8%), etc. 6. Head Cervix(80.9%) was the commonest pain region of all patients. and then shoulder back(70.2%), lumbar region(61.7%), etc. 7. In general, the pedestrian injuries were more serious than those sustained in the car as passengers. 8. After discharge, Duration of OPD treatment was long as much as that of admission treatment. 9. At first stage of admission period, Herb medication was frequently prescribed for hwalhyultonglakgige(活血通絡之劑). but As going to end stage, was frequently used for bogi(補氣) bohyul(補血), gudam(祛痰), ansin(安神).

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Passenger Ship Evacuation Simulation Considering External Forces due to the Inclination of Damaged Ship (손상 선박의 자세를 고려한 여객선 승객 탈출 시뮬레이션)

  • Ha, Sol;Cho, Yoon-Ok;Ku, Namkug;Lee, Kyu-Yeul;Roh, Myung-Il
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.3
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    • pp.175-181
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    • 2013
  • This paper presents a simulation for passenger ship evacuation considering the inclination of a ship. In order to describe a passenger's behavior in an evacuation situation, a passenger is modeled as a rigid body which translates in the horizontal plane and rotates along the vertical axis. The position and rotation angle of a passenger are calculated by solving the dynamic equations of motions at each time step. To calculate inclined angle of damaged ship, static equilibrium equations of damaged ship are derived using "added weight method". Using these equations, physical external forces due to the inclination of a ship act on the body of each passenger. The crowd behavior of the passenger is considered as the flock behavior, a form of collective behavior of a large number of interacting passengers with a common group objective. Passengers can also avoid an obstacle due to penalty forces acting on their body. With the passenger model and forces acting on its body, the test problems in International Maritime Organization, Maritime Safety Committee/Circulation 1238(IMO MSC/Circ.1238) are implemented and the effects of ship's inclination on the evacuation time are confirmed.

Passenger Ship Evacuation Simulation using Algorithm for Determination of Evacuating Direction based on Walking Direction Potential Function (보행 방향 포텐셜 함수 기반의 탈출 경로 결정 알고리즘을 이용한 여객선 승객 탈출 시뮬레이션)

  • Ha, Sol;Cho, Yoon-Ok;Ku, Namkug;Park, Kwangphil;Lee, Kyu-Yeul;Roh, Myung-Il
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.5
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    • pp.307-313
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    • 2013
  • This paper presents a simulation for passenger ship evacuation considering determination of evacuating direction based on walking direction potential function. In order to determine walking direction of a passenger, his/her position in two dimensional plane was adopted as a design variable, and fixed boundaries such as walls and obstacles were adopted as constraints. To solve this optimum problem, a walking direction potential function was adopted as an objective function. This potential function was configured as a kind of penalty function and it contained two components. One is a potential function concerned with the distance to the destination, and other is a potential function based on the effect of walls and obstacles. To determine evacuating direction, this problem was solved by minimizing the walking direction potential function every unit time during the simulation. The crowd behavior of the passenger consisted of the flock behavior, a form of collective behavior of a large number of interacting passengers with a common group. With the proposed algorithm, the test problems in International Maritime Organization, Maritime Safety Committee/Circulation 1238(IMO MSC/Circ.1238) were implemented and the direction of passengers and total evacuation time was analyzed.

Editorial for Vol. 30, Issue 3 (편집자 주 - 30권 3호)

  • Kim, Young Hyo
    • Korean journal of aerospace and environmental medicine
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    • v.30 no.3
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    • pp.83-85
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    • 2020
  • In commemoration of Vol. 30, Issue 3, our journal prepared five review articles and one original paper. The global outbreak of COVID-19 in 2020 has impacted our society, and especially the aviation and travel industries have been severely damaged. Kwon presented the aviation medical examination regulations related to COVID-19 announced by the Ministry of Land, Infrastructure, and Transport of the Republic of Korea. Lim summarized various efforts of airlines to overcome the crisis in the aviation industry. He also discussed the management of these aircraft as the number of airplanes landing for long periods increased. Finally, he suggested various quarantine guidelines at airports and onboard aircraft. COVID-19 has had a profound impact on mental health as well as physical effects. Kim investigated the impact of COVID-19 on mental health and suggested ways to manage the stress caused by it. The Internet of Things (IoT) refers to a technology in which devices communicate with each other through wired or wireless communication. Hyun explained the current state of the technology of the IoT and how it could be used, especially in the aviation field. In the area of airline service, various situations arise between passengers and crew. Therefore, role-playing is useful in performing education to prepare and respond to passengers' different needs appropriately. Ra introduced the conceptual background and general concepts of role-playing and presented the actual role-play's preparation process, implementation, evaluation, and feedback process. For a fighter to fly for a long time and perform a rapid air attack, air refueling is essential, which serves refueling from the air rather than from the aircraft base. Koo developed a questionnaire based on the HFACS (Human Factors Analysis and Classification System) model and used it to conduct a fighter pilot survey and analyze the results.

Quantitative Analysis of CO2 Reduction by Door-opening in the Subway Cabin (출입문 개폐에 의한 전동차 객실 CO2 저감효과 분석)

  • Kwon, Soon-Bark;Cho, Young-Min;Park, Duck-Shin;Park, Eun-Young
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.2
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    • pp.153-161
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    • 2008
  • The guidelines for indoor air quality of public transportations such as subway, train and bus was presented by Korean Ministry of Environment last end of year 2006 based on the great consequence of indoor air quality in daily life. Two main parameters, carbon dioxide($CO_2$) and particulate matters smaller than $10\;{\mu}m(PM_{10})$, were selected as index pollutants for the management of indoor air quality. The former pollutant, $CO_2$, is regarded as index of ventilation status and the major source of $CO_2$ in the train or subway is the exhalation of passengers. It is publically perceived that the high $CO_2$ concentration in a crowded subway will be reduced and ventilated with outdoor air by door-opening taken every 2 or 3 minutes when the train stops each station. However, there has not been any scientific proof and quantitative information on the effect of door-opening on the $CO_2$ reduction by ventilation with outdoor air. In this study, $CO_2$ concentration and number of passengers were measured at each station on the 3 lines of Korail metropolitan subway. In order to evaluate the effect of $CO_2$ reduction by door opening, the theoretical approach using the $CO_2$ balance equation was performed. By comparing the predicted data with monitoring one, the optimum $CO_2$ dilution factor was determined. For the first time, it was quantified that about 35% of $CO_2$ concentration in the subway indoor was removed by the door-opening at each station.

A study on the Enhancement for Minimum Connecting Time of Incheon International Airport (인천국제공항의 MCT 향상을 통한 환승율 제고의 탐색적 연구)

  • Lee, Kang-Suk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.15 no.4
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    • pp.117-130
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    • 2007
  • Incheon International Airport has handled 3,054,485 transfer passengers (11.9% transfer rate) and 950,441 transfer cargo(44.2% transfer rate)recorded in 2005. Comparing to 30-40% transfer passenger rate which are competition hub airports in northeast Asia, transfer passenger rate of Incheon International Airport is lower. Above all, We think that Minimum Connecting Time(MCT) which is relating factors with transfer rate need to be monitored to make up for the weak points in the current Incheon internationalairport system. Minimum Connecting Time is defined the legally minimum time necessary to change planes at a given airport. and Transfers represent 35% of the total passenger volume at Vienna International Airport in Europe, which underscores our function as a major international hub. Vienna is rated priority in reservation systems because of our excellent minimum connecting time, and that increases the sale of tickets through our airport. In 2004 the total number of transfer passengers rose 18% to 5,089,624. Short routes, a one roof concept and an outstanding logistics system make Vienna an ideal airport for transfers. This transfer-friendly one roof concept will also form the basis for the new VlE-Skylink Terminal. In case of Japan, Star Alliance has also implemented its so called "Move under one roof"concept at the new Centrair airport. All member carriers are located in the same part of the termina1, sharing check-in counters and ticketing facilities. Star Alliance member carriers can now offer customersa reduced average minimum connecting time of one hour, for transfers between international and domestic. The research purpose of the Study on the Enhancement for Minimum Connecting Time of Incheon International Airport is to increase transfer rate of passenger and cargo of Incheon International Airport at Northeast Asia through this paper.

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Classification of Seoul Metro Stations Based on Boarding/ Alighting Patterns Using Machine Learning Clustering (기계학습 클러스터링을 이용한 승하차 패턴에 따른 서울시 지하철역 분류)

  • Min, Meekyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.13-18
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    • 2018
  • In this study, we classify Seoul metro stations according to boarding and alighting patterns using machine earning technique. The target data is the number of boarding and alighting passengers per hour every day at 233 subway stations from 2008 to 2017 provided by the public data portal. Gaussian mixture model (GMM) and K-means clustering are used as machine learning techniques in order to classify subway stations. The distribution of the boarding time and the alighting time of the passengers can be modeled by the Gaussian mixture model. K-means clustering algorithm is used for unsupervised learning based on the data obtained by GMM modeling. As a result of the research, Seoul metro stations are classified into four groups according to boarding and alighting patterns. The results of this study can be utilized as a basic knowledge for analyzing the characteristics of Seoul subway stations and analyzing it economically, socially and culturally. The method of this research can be applied to public data and big data in areas requiring clustering.