• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.212-216
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• 2010

오늘날 세계화와 정보통신 분야의 기술혁신으로 기업들의 경영활동 영역이 점점 글로벌화 되어가면서 물류산업의 환경도 급격히 변화해 나가고 있다. 세계적으로 확산되고 있는 인터넷망이나 물류망은 시간과 거리의 제약을 완화시켰으며, 고객들의 정보와 상품에 대한 접근이 쉬워짐에 따라 기업에 대한 고객욕구가 다양해지고 있는 실정이다. 이러한 경영환경의 변화에 따라 우리 기업들은 보다 경쟁력 있는 물류서비스를 고객에게 제공하기 위하여 물류 서비스의 유연성 개선, 물류 전문 인력 확보 등에 힘쓰는 한편 물류 부문의 취약성을 극복하기 위한 물류자동화 시스템 도입 등 다양한 방안을 강구하고 있다. 현재 도입된 수배송 관제 시스템은 GPS를 기반으로 하고 있다. 그러나 기존의 GPS를 이용한 관제 시스템은 위치 정보만 수신하여 위성의 사각지역 또는 실내에서 작동이 잘 되지 않는 문제가 있다. 이러한 문제를 해결하기위해 본 논문에서는 스마트폰을 사용한 수배송 관제 시스템을 설계하였다. 스마트폰은 GPS와 3G통신 모두 이용하여 양방향으로 통신할 수 있으므로 기존의 GPS를 이용한 단방향 수배송 관제 시스템보다 정보를 정확하고 효율적으로 관제할 수 있다. 제안하는 시스템은 물류 수배송 상에서 발생되는 데이터를 실시간 모니터링이 가능해야하며, 관리자와 수배송자간의 신속한 정보 전달을 통해 배송조건을 최적화시키고, 물류의 흐름을 제어하여 배송 시에 발생하는 문제에 대한 신속한 해결을 통해서 배송시간을 최소화하는 것이 목적이다.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.39-44
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• 2018

In this paper, we propose a monitoring method of smartphone to integrate IoT technology to monitor the state of the vehicle for fault diagnosis of E-Mobility power converter. In China, EV regulations are being implemented to promote technological development and market changes in electric vehicles. To meet this trend, E-Mobility should study suitable monitoring technology. The OBD-II method used in existing automobiles is a wired / wireless communication method. In order to apply it to E-Mobility, additional interface and communication link are required. In this paper, we propose a technology to monitor the status information of power converter for E-Mobility by combining existing technology with IoT. This technology simplifies the existing network protocol and hardware interface, and confirms that the E-Mobility power converter and smartphone can be interworked for easy user monitoring. And we have done research to make high value product design from the aspect of function.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.179-184
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• 2019

Recently, various problems have arisen due to the popularization and aging of urban railway transit, which is the key transportation of large cities. In this study, the vibrational accelerations for the Daegu Metropolitan City Urban Railway(Line 1) were measured and evaluated using the smartphone built-in acceleration sensor and the approved application. For this purpose, the three axes running accelerations were measured according to the domestic standard (KS R 9160), and the acceleration data along the 32 stations (3 directions) were analyzed and compared. In addition, the increasing of acceleration values caused by the change of vibrational environment was monitored along the main stations between the time in 1997 and 2017. It was found that there are considerable increase of lateral and vertical directional accelerations due to the aging of railway facility environment for the last 20 years. The results of this study have valuable means for evaluating the ride quality of urban railway and the vibration influence on surrounding structures.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.85-100
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• 2022

Recently, with the widespread expansion of convergence based on digital connectivity, the transportation and mobility fields are rapidly changing, and research related to this is also diversifying. This study aims to analyze the research trends in the mobility field and identify key research areas and topics. Topic modeling analysis has been proved as a useful approach for analyzing the research trends. The abstracts of 142 research papers concerning mobility from the Korean academic citation index were analyzed, derived 9 research topics and linked to 6 key elements of research framework. The result showed that 'Advanced vehicle and transportaion technology' and 'Linkage and integrated services among means for mobility' were most actively studied research fields. It also found that research on insurance, law, regulation for securing user's safety and conflict-resolving with the existing industry has been conducted.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.182-196
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• 2024

This study introduces driving pattern analysis and change detection methods using smartphone sensors, based on contrastive learning. These methods characterize driving patterns without labeled data, allowing accurate classification with minimal labeling. In addition, they are robust to domain changes, such as different vehicle types. The study also examined the applicability of these methods to smartphones by comparing them with six lightweight deep-learning models. This comparison supported the development of smartphone-based driving pattern analysis and assistance systems, utilizing smartphone sensors and contrastive learning to enhance driving safety and efficiency while reducing the need for extensive labeled data. This research offers a promising avenue for addressing contemporary transportation challenges and advancing intelligent transportation systems.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.224-239
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• 2023

C-ITS (Cooperative-Intelligent Transportation System) refers to user safety-oriented technology and systems that provide forward traffic situation information based on a two-way wireless communication technology between vehicles or between vehicles and infrastructure. Since the Daejeon-Sejong pilot project in 2016, the C-ITS infrastructure has been installed at various locations to provide C-ITS safety services through highway and local government demonstration projects. In this study, a methodology was developed to verify the effectiveness of the warning information using individual vehicle data collected through the Gwangju Metropolitan City C-ITS demonstration project. The analysis of the effectiveness was largely divided into driving behavior impact analysis and environmental analysis. Compliance analysis and driving safety evaluation were performed for the driving impact analysis. In addition, to supplement the inadequate collection of Probe Vehicle Data (PVD) collected during the C-ITS demonstration project, Digital Tacho Graph ( DTG ) data was additionally collected and used for effect analysis. The results of the compliance analysis showed that drivers displayed reduced driving behavior in response to warning information based on a sufficient number of valid samples. Also, the results of calculating and analyzing driving safety indicators, such as jerk and acceleration noise, revealed that driving safety was improved due to the provision of warning information.

• Design Convergence Study
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• v.15 no.1
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• pp.135-150
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• 2016

Due to the development of communication technology and expansion of Intelligent Transport System (ITS), the car is changing from a simple mechanical device to second living space which has comprehensive convenience function and is evolved into the platform which is playing as an interface for this role. As the interface area to provide various information to the passenger is being expanded, the research importance about smart car based user experience is rising. This study has a research objective to propose the guidelines regarding the smart car user experience elements. In order to conduct this study, smart car user experience elements were defined as function, interaction, and surface and through the discussions of UX/UI experts, 8 representative techniques, 14 representative techniques, and 8 locations of the glass windows were specified for each element. Following, the smart car users' priorities of the experience elements, which were defined through targeting 100 drivers, were analyzed in the form of questionnaire survey. The analysis showed that the users' priorities in applying the main techniques were in the order of safety, distance, and sensibility. The priorities of the production method were in the order of voice recognition, touch, gesture, physical button, and eye tracking. Furthermore, regarding the glass window locations, users prioritized the front of the driver's seat to the back. According to the demographic analysis on gender, there were no significant differences except for two functions. Therefore this showed that the guidelines of male and female can be commonly applied. Through user requirement analysis about individual elements, this study provides the guides about the requirement in each element to be applied to commercialized product with priority.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.361-363
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• 2016

현재 차량 내 운전자에게 편의성과 안전성을 제공하는 시스템이 활발히 개발 중이고 향후 ADAS(Advanced Driver Assistance System)와 스마트 자동차에서 영상 정보를 이용한 물체 추적과 분석은 매우 중요한 부분을 차지하고 있다. 영상에서 얻을 수 있는 정보 중 현재 도로의 이정표 정보는 중요한 분석 정보로 사용된다. 하지만 국내 도로표지판 검출 연구의 경우 유럽과 북미와 비교하여 연구 개발이 활발히 진행되고 있지 않다. 국내의 경우 도로 이정표에서 영문자뿐만 아니라 한글 문자 정보까지 포함하고 있어 검출이 쉽지 않다. 또한 비교적 밝고 잡음이 적은 검출하기 좋은 환경에서는 검출이 잘 되지만 명암이 뚜렷하지 않고 잡음이 많은 환경에서는 도로 이정표 문자 검출이 어렵다. 이에 본 논문에서는 CLAHE(Contrast-Limited Adaptive Histogram Equalization) 방법을 적용하여 영상이 어둡고 잡음이 많은 환경에서 국내 도로 이정표의 문자 정보를 얻는다. 실험 결과, 기존 방법에 비해 문자 영역 검출 성능이 향상되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.466-468
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• 2017

카 쉐어링 서비스는 경제위기 이후 실용적 소비패턴 의식의 확산과 환경의식의 고취, 스마트폰 확산을 통한 서비스 이용 편의성이 증가됨으로 인해 새로운 대중교통으로 자리매김을 하고 있다. 시장이 발전하고 많은 사람들이 이용하면서 다양한 카 쉐어링 업체들이 생겨나고 있다. 또한 각 업체들에서 사용하는 인증방식은 단순 ID/PW 로그인 방식이기 때문에 보안에 취약하다. 본 논문에서 제안하는 모델은 차량의 데이터가 등록되어 있는 다양한 업체들의 클라우드를 클라우드 서비스 브로커를 통해 사용자들에게 편리성을 제공하고 바이오정보를 이용하여 더욱 강력한 인증을 통해 안전한 서비스를 제공하고자 한다. 본 논문에서 제안한 모델을 통해 안전한 토인과 사용자의 편의성이 증대되기를 기대한다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.87-88
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• 2011

본 논문에서는 멀티 센서 기반의 사용자 이동 상태 인식 서비스에 대해 제안 한다. 이 서비스는 스마트폰 단말의 가속도 센서, 방향센서, GPS 모듈의 정보를 퍼지 규칙 기반 알고리즘을 이용하여 각각의 클라이언트들의 현재 위치 및 이동 상황을 인식 하게 된다. 사용자 이동 상태 인식 알고리즘은 가속도 센서와 방향 센서를 이용하여 신체의 운동량과 방향을 측정 한다. 측정된 정보는 GPS모듈을 통하여 얻은 실제 이동속도를 계산하여 규칙 기반 퍼지 추론을 통하여 사용자의 이동 상태를 인식 하였다. 이동상태 인식 서비스의 신뢰도를 측정하기 위해 동일 구간에서 차량, 도보(걷기, 뛰기, 느리게 걷기 등)를 이용하여 신뢰도를 측정 하였다.