• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.455-460
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• 2007

본 논문에서는 지능형 주택의 필수 요소 기술의 하나인 사용자 신원을 파악하며 또한 현재 사용자의 위치를 추정하는데 직접적으로 사용이 가능한 방으로의 들어오고 나감 (즉, 출/입 행동)을 감지하는 효과적인 방법을 제안한다. 개발된 시스템은 [1]에 제안되었던 방법을 개선시킨 것으로 초음파 센서 및 PC를 이용하여 만들어졌던 시스템을 8bit 마이크로 컨트롤러를 사용한 임베디드 시스템의 형태로 구현하였다. 이와 더불어 복수개의 센싱 시스템에서 감지한 신호를 블루투스에 기반한 무선 전송 채널을 통해 1개의 중앙 컴퓨터로 전송하는 무선 센서 네트워크를 구성하였다. 이렇게 구성된 센서 네트워크를 통해 각 센싱 모듈이 검출한 사용자 인식 및 인식된 사용자의 출/입 이벤트를 기록, 저장하는 시스템을 구현하였다. 개발된 시스템은 임베디드 시스템의 특성에 적합하도록 기존 PC기반으로 개발된 알고리즘을 수정 개선하였고, 성능 검증을 위해 일반 가정집에 3개의 센싱 모듈을 설치하여 3명의 사용자를 대상으로 실험을 수행하였다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.9-21
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• 2022

In this paper, we developed a 100% detection system for entering and leaving vehicles by improving the detection rate of existing detection cameras based on the LiDAR sensor, which is one of the core technologies of the 4th industrial revolution. Since the currently operating parking lot depends only on the recognition rate of the license plate number of about 98%, there are various problems such as inconsistency in the entry/exit count, inability to make a reservation in advance due to inaccurate information provision, and inconsistency in real-time parking information. Parking status information should be managed with 100% accuracy, and for this, we built a parking lot entrance/exit detection system using LIDAR. When a parking system is developed by applying the LIDAR sensor, which is mainly used to detect vehicles and objects in autonomous vehicles, it is possible to improve the accuracy of vehicle entry/exit information and the reliability of the entry/exit count with the detected sensing information. The resolution of LIDAR was guaranteed to be 100%, and it was possible to implement so that the sum of entering (+) and exiting (-) vehicles in the parking lot was 0. As a result of testing with 3,000 actual parking lot entrances and exits, the accuracy of entering and exiting parking vehicles was 100%.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.3
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• pp.248-253
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• 2008

This paper presents a sensing system for smart home which can detect an location transition events such as entrance/exit of a member and identify the user in a group at the same time. The proposed system is compose of two sub-systems; a wireless sensor network system and a database server system. The wireless sensing system is designed as a star network where each of sensing modules with ultrasonic sensors and a Bluetooth RF module connect to a central receiver called Bluetooth access point. We propose a method to discriminate a user by measuring the height of the user. The differences in the height of users is a key feature for discrimination. At the same time, the each sensing module can recognize whether the user goes into or out a room by using two ultrasonic sensors. The server subsystem is a sort of data logging system which read the detected event from the access point and then write it into a database system. The database system could provide the location transition information to wide range of context-aware applications for smart home easily and conveniently. We evaluate the developed method with experiments for three subjects in a family with the installation of the developed system into a real house.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.660-665
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• 2006

본 논문에서는 유비쿼터스 컴퓨팅 구현에 있어서 중요 핵심 요소 기술인 실내에서의 사용자의 위치를 인식하면서 동시에 사용자를 식별하는 방법에 대해 제안하고자 한다. 제안된 사용자 식별 방법은 초음파 센서의 물체까지의 거리를 측정할 수 있는 특성에 기초하여 구성원의 키 높이의 다름을 주요한 식별 특성으로 이용하는 방법이다. 또한 사용자 식별을 수행하는 것과 동시에 식별된 사용자가 센서가 장착된 문을 통과하여 들어왔는지 나갔는지를 감지하는 출입 감지 방법도 제안한다. 기본적인 출입 감지 방법의 아이디어는 2개 초음파 센서의 물체 감지 순서를 이용하여 개발되었다. 제안된 방법의 성능 검증을 위해 1단계의 프로토타입을 만들었으며, 개발된 프로토타입을 이용하여 3명의 가족 구성원으로 이루어진 일반 가정집의 화장실에 장착하여 성능 실험을 실시하였다. 실험 결과 100%의 사용자 식별 성능 및 평균 98%의 출입 감지 성능을 얻었다.

• Journal of KIISE:Information Networking
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• v.37 no.5
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• pp.396-402
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• 2010

The tracking of current location of residents is an essential requirement for context-aware service of smart houses. This paper presents a wireless sensor network system which could detect location transition such as entrance and exit to a room and also identify the user who passed the room, without duty of wearing any sort of tag. We designed new sensor node to solve the problem of short operation lifetime of previous work[1] which has two pyroelectric infrared (PIR) sensors and an ultrasonic sensor, as well as a 2.4 GHz radio frequency wireless transceiver. The proposed user identification method is to discriminate a person based on his/her height by using an ultrasonic sensor. The detection idea of entering/exiting behavior is based on order of triggering of two PIR sensors. The topology of the developed wireless sensor network system is simple star structure in which each sensor node is connected to one sink node directly. We evaluated the proposed sensing system with a set of experiments for three subjects in a model house. The experimental result shows that the averaged recognition rate of user identification is 81.3% for three persons. and perfect entering/exiting behavior detection performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.40-53
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• 2018

In smart card data, movement of railway passengers appears in order of smart card terminal ID. The initial terminal ID holds information on the entering station's tag-in railway line, the final terminal ID the exit station tag-out railway line, and the middle terminal ID the transfer station tag subway line. During the past, when the metropolitan city rail consisted of three public corporations (Seoul Metro, Incheon Transit Corporation, and Korail), OD data was expressed in two metrics of initial and final smart card terminal ID. Recently, with the entrance of private corporations like Shinbundang Railroad Corporation, and UI Corporation, inclusion of entering transfer line terminal ID and exiting transfer line terminal ID as part of Chain OD has become standard. Exact route construction using Chain OD has thus become integral as basic data for revenue allocation amongst metropolitan railway transport corporations. Accordingly, path detection in railway networks has evolved to an optimal path detection problem using Chain OD, hence calling for a renewed solution method. This research proposes an optimal path detection method between the initial terminal ID and final terminal ID of Chain OD terminal IDs within the railway network. Here, private line transfer TagIn/Out must be reflected in optimal path detection using Chain OD. To achieve this, three types of link-based optimum path detection methods are applied in order of 1. node-link, 2. link-link, 3. link-node. The method proposed based on additional path costs is shown to satisfy the optimal conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.50-53
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• 2022

Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.