• 대한교통학회지
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• 제32권5호
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• pp.452-461
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• 2014

기존 주차조사는 광범위한 조사지역을 대상으로 조사원이 직접 주차차량의 번호판을 확인하는 방식으로 기동성의 저하, 조사와 입력의 이원화로 인한 입력오류, 많은 조사시간과 비용이 소요되는 단점을 가지고 있었다. 따라서 본 연구에서는 기존 조사원에 의한 주차조사의 단점을 극복하기 위해 최근 상용화된 고성능 영상분석장비, 위성측량장비, 적외선 조명 등을 이용하여 자동주차조사를 위한 방법에 관한 연구를 수행하였으며 본 연구결과 개발된 자동주차조사 방법을 이용하여 조사된 데이터를 수정, 저장, 분석 및 출력이 가능한 주차분석 소프트웨어를 개발하였다. 장비를 이용한 자동주차조사 시 조사차량의 주행속도, 영상분석장비의 촬영각도, 주차차량 상호간 차간간격, 조사차량과 주차차량의 이격거리 등에 의해 조사의 정밀도가 영향을 받는 것으로 나타나 장비를 이용한 자동주차조사의 정확도를 향상시키기 위해 실험을 통해 각 요소별 최적조합을 도출하였다. 또한 기존 주차조사 데이터가 체계적으로 저장, 관리되지 못하고 있는 문제점을 극복하고 주자정책 수립을 지원하기 위한 주차분석을 지원하기 위한 주차분석 소프트웨어를 개발하였다.

• 한국융합학회논문지
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• 제11권9호
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• pp.193-202
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• 2020

종합병원의 주차문제는 내원객이나 방문객들의 불편함이나 민원을 넘어 병원인근지역의 교통문제 및 환경문제를 발생시키는 사회문제가 되고 있다. 본 논문에서는 A종합병원(A병원)의 사례를 중심으로 주차장 입·출차 데이터를 이용하여 주차특성지수를 더욱 정확하게 분석할 수 있는 모델을 제안하고 이를 이용하여 주요지표들을 분석한다. 병원의 특성을 고려하여 새로운 주차지표를 정의하고 분석하였으며 주차수요를 추정할 수 있는 모델을 제안하고 이를 이용하여 분석한다. 본 연구결과를 이용하여 물리적인 주차장시설의 확장보다는 주차데이터에 기반한 체계적이고 유연한 주차장 관리를 통해서 내원객과 방문객들에게 더욱 편리한 주차서비스를 제공할 수 있고 데이터 기반의 주차정책과 규정을 수립하여 병원주차장 운영의 효율성을 향상할 수 있으며 A병원과 규모가 비슷한 병원의 주차정책과 주차수요 산출과 향후 스마트 주차시스템 개발에도 주요한 기초자료로 활용될 수 있다고 사료된다.

• 한국인공지능학회지
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• 제9권2호
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• pp.29-34
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• 2021

In this paper, for efficient parking control, in an Arduino environment, an intelligent parking control prototype was implemented to provide parking control and parking guidance information using HC-SR2O4 and RC522. The main elements of intelligent parking control are vehicle recognition sensors, parking control facilities, and integrated operating software. Whether the vehicle is parked on the parking surface may be confirmed through sensor or intelligent camera image analysis. Parking control equipment products include parking guidance and parking available display devices, vehicle number recognition cameras, and intelligent parking assistance systems. This paper applies and implements ultrasonic sensors and RFID concepts based on Arduino, recognizes registered vehicles, and displays empty spaces. When a vehicle enters a parking space to handle this function, the automatic parking management system distinguishes the registered vehicle from the external vehicle through the RC522 sensor. In addition, after checking whether the parking slot is empty, the HC-SR204 sensor is displayed through the LED so that the driver can visually check it. RFID is designed to check the parking status of the server in real time and provide the driver with optimal route service to the parking slot.

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.404-412
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• 2022

The development in the field of the internet of things (IoT) have improved the quality of the life and also strengthened different areas in the society. All cities across the world are seeking to become smarter. The creation of a smart parking system is the essential use case in smart cities. In recent couple of years, the number of vehicles has increased significantly. As a result, it is critical to make the use of technology that enables hassle-free parking in both public and private spaces. In conventional parking systems, drivers are not able to find free parking space. Conventional systems requires more human interference in a parking lots. To manage these circumstances there is an intense need of IoT enabled parking solution that includes the well defined architecture that will contain the following components such as smart sensors, communication agreement and software solution. For implementing such a smart parking system in this paper we proposed a design of smart parking system and also compare it with convetional system. The proposed design utilizes sensors based on IoT and Data Mining techniques to handle real time management of the parking system. IoT enabled smart parking solution minimizes the human interference and also saves energy, money and time.

• 대한안전경영과학회지
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• 제14권1호
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• pp.65-73
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• 2012

We studied the risk analysis of fire and explosion caused by gas leak in underground-parking of gas vehicle. However, an entrance regulation of gas vehicles (H2/LPG/CNG etc.) to underground garages has not been enacted in Korea. Incase, a gas explodes in an underground parking garage placed in overcrowded residential area, such as an apartment, the scale of the damage would cause tremendous disaster. Faults of vehicle parts and management problems were evaluated by using the Failure mode and effect analysis (FMEA), which is a qualitative analysis method. The range of the damaged area by the explosion and the damage scale by the explosion pressure were analyzed by using the process hazard analysis software tool (PHAST). The study is expected to facilitate enactment of the regulation for the underground parking to restrict the gas vehicle.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.329-332
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• 2019

Recently, smart lighting systems are the combination between sensors and lights. These systems turn on/off and adjust the brightness of lights based on the motion of object and the brightness of environment. These systems are often applied in places such as buildings, rooms, garages and parking lot. However, these lighting systems are controlled by lighting sensors, motion sensors based on illumination environment and motion detection. In this paper, we propose an automatic lighting control system using one single camera for buildings, rooms and garages. The proposed system is one integration the results of digital image processing as motion detection, hand gesture detection to control and dim the lighting system. The experimental results showed that the proposed system work very well and could consider to apply for automatic lighting spaces.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제55차 동계학술대회논문집 25권1호
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• pp.59-62
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• 2017

최근 서울에 자동차 보유 대수가 급증함에 따라 주거나 상가 밀집 지역에서 주차 문제는 갈수록 심화되고 있어 이에 따른 주차공간 확보 및 기존 주차 공간의 활용할 수 있는 시스템이 요구되고 있다. 따라서 본 논문에서는 공유경제 개념을 도입하여 개인이나 단체가 소유하고 있는 주차 공간을 사용하지 않는 시간대에 주차 가능 공간을 다른 사람들과 공유할 수 있는 시스템을 제안한다. 본 플랫폼은 웹, 안드로이드, 라즈베리파이, 데이터베이스로 구성되어 있으며 실제 주차장에 설치된 초음파 센서와 CCTV 이미지를 분석하는 OpenCV를 이용하여 현재 주차장의 사용 중인 공간과 비사용 중인 주차 가능 면수를 분석하고 분석한 정보를 사용자들에게 제공한다.

• 한국도로학회논문집
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• 제20권2호
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• pp.97-107
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• 2018

PURPOSES : The effects on traffic accidents change with the changing environment. Accordingly, this study analyzes the characteristics of traffic accidents based on the personal characteristics (gender and age) of drivers, and those of 25 autonomous districts in Seoul, and suggests improvements. METHODS : Based on data pertaining to traffic accidents in Seoul, the analysis of accident characteristics was conducted by categorizing the types of traffic accidents according to the drivers' gender and age, and characteristics of 25 autonomous districts in Seoul. Further, for statistical verification, the SPSS software was used to derive influence variables through a multinomial logistic regression analysis, and a method for reducing traffic accidents was proposed. RESULTS : Analysis results show that males tend to be more involved in speed-related accidents and females in low-experience driving-related accidents such as those during parking and alleyway driving. In addition, variables such as age, automobile type, district, and day of the week are found to influence accident types. CONCLUSIONS : This study analyzed the accident characteristics based on personal and city characteristics to reflect the sociological characteristics that influence traffic accidents. The number of traffic accidents in Korea could be decreased drastically by implementing the results of this study in customized safety education and traffic maps.

• 유통과학연구
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• 제12권4호
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• pp.23-30
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• 2014

Purpose - The purpose of this study is to analyze the efficiency of retail businesses by dividing domestic retailers into discount stores, super supermarkets (SSMs), and department stores. It suggests retail-business investment strategies by using data environment analysis (DEA) to analyze how input elements such as store area, parking lot area, number of employees, and sales management expenses for the convenience of customers positively affect business performance measurements such as sales and visiting customers per day. Research Design, Data, and Methodology - The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU). The study included 19 companies (five discount store DMUs, ten SSM DMUs, and four department store DMUs). Because the business elements and sizes of retail store DMUs used in this analysis are different, average per-store input and output variables were used. Data were collected from "The Yearbook of Retail Industry in Korea (2012)." DEA analysis was used to determine differences in efficiency among discount stores, SSMs, and department stores in terms of the business elements of each retail business. It was also used to determine what business elements were excessively invested in by comparing and analyzing efficiency by business elements using SPSS software's ANOVA (Analysis of Variance). Results - The CCR and BCC efficiency analysis found that the efficiency of discount stores is low. We believe that the saturation state of discount stores is a major factor. The ANOVA analysis confirms the VRS hypothesis with a statistically significant difference among the three groups, based on an analysis confidence interval of 95%. CRS and SE were not found to be significantly different among the three groups. As for the post hoc test, which concretely shows differences by group, the Scheffe's multiple comparison analysis test found the average differences between group 1 (discount stores) and group 2 (SSM) to be statistically significant. Conclusions - The DEA efficiency analysis implies that investment in input elements, including store area, parking lot area, and sales management expenses, were excessive in the case of discount stores, while SSMs need to invest more in promotion activities such as gifts, events, and coupons for customer management. Department stores have found that small companies invest excessively in input elements. Department stores need to invest in differentiated shopping mall complexes. This study was limited in acquiring statistical data; various input variables which might have shown more secure customer management and promotional expenses could not be applied. As the study was limited in various aspects of the efficiency analyses because financial analyses of the companies and of causal relationships, including satisfaction and loyalty of visiting customers, were not done, these aspects will be examined in the next study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1216-1231
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• 2021

With the increase in the population of our cities and the rapid increase in the number of private cars, urban traffic has become more and more congested. At this stage, urban public transportation has become one of the main ways to improve urban traffic congestion. Aiming at the problem of how to improve the basic capacity of buses in multi-line transfer stations, this paper conducts simulation research based on anylogic software. Through micro-simulation analysis of vehicles entering, stopping, and exiting the station, combined with the delay model theory, the vehicle is given Stop organization optimization and station layout improvement methods, so that vehicles can run in the station more stably, smoothly and safely. Case analysis shows that applying this method to the roadside parking problem, the main and auxiliary bus stations have a significant improvement in operating capacity compared with the conventional tandem double bus stations, and the service level of the main and auxiliary bus stations has been significantly improved.