• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.444-448
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• 2008

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2:image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.

• The KIPS Transactions:PartA
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• v.16A no.3
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• pp.209-216
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• 2009

The ubiquitous smart home is the home of the future that takes advantage of context information from the human and the home environment and provides an automatic home service for the human. Human location and motion are the most important contexts in the ubiquitous smart home. We present a real-time human tracker that predicts human location and motion for the ubiquitous smart home. We used four network cameras for real-time human tracking. This paper explains the real-time human tracker's architecture, and presents an algorithm with the details of two functions (prediction of human location and motion) in the real-time human tracker. The human location uses three kinds of background images (IMAGE1: empty room image, IMAGE2: image with furniture and home appliances in the home, IMAGE3: image with IMAGE2 and the human). The real-time human tracker decides whether the human is included with which furniture (or home appliance) through an analysis of three images, and predicts human motion using a support vector machine. A performance experiment of the human's location, which uses three images, took an average of 0.037 seconds. The SVM's feature of human's motion recognition is decided from pixel number by array line of the moving object. We evaluated each motion 1000 times. The average accuracy of all the motions was found to be 86.5%.

• Spatial Information Research
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• v.23 no.6
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• pp.89-98
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• 2015

In this study, The criteria for assessing the security-related functions and services using spatial information is deduced, and orders of priority a priority for the applicable alternatives of functions/services of intelligent security service application based on spatial information are suggested by calculating relative importance. Also this study suggested connection plan about service implementation of national security services by government ministry & local government. And, the intelligent security app service model which has possible substantiation and commercialization is proposed. This study performed the AHP as the final assessment criterions by 3 item in 1st class and 12 item in 2nd class. And, tried to implementation methods of the intelligent security service application(ex. control of emergency and the crime opportunity, real-time location tracking of protector, the device for missing child & dementia patient, user participation & provision of information).

• Journal of IKEEE
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• v.20 no.2
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• pp.128-135
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• 2016

Smart care surveillance system provides the services to track users automatically by using the nearest CCTV cameras which are capable of monitoring them after the system searches for CCTV cameras around them by using the GPS location information received from them. Because users send their GPS location information with using their smart device when they are in emergency situation or want to be cared for, they may expect quick response of helper in this system. However, in the previous system, the selection time of camera which is capable of monitoring is increased rapidly as the management area is expended because the area management server selects the camera by sorting the distance between all of CCTV cameras and users, and then monitors them whenever they send the location information. In this paper, we propose the method to reduce the selection time of the CCTV cameras for tracking the users by searching only the cameras near to the CCTV cameras used to track them.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.87-96
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• 2006

Selectivity estimation is one of the query optimization techniques. It is difficult for the previous selectivity estimation techniques for moving objects to apply the position change of moving objects to synopsis. Therefore, they result in much error when estimating selectivity for queries, because they are based on the extended spatial synopsis which does not consider the property of the moving objects. In order to reduce the estimation error, the existing techniques should often rebuild the synopsis. Consequently problem occurs, that is, the whole database should be read frequently. In this paper, we proposed a moving object histogram method based on quad tree to develop a selectivity estimation technique for moving object queries. We then analyzed the performance of the proposed method through the implementation and evaluation of the proposed method. Our method can be used in various location management systems such as vehicle location tracking systems, location based services, telematics services, emergency rescue service, etc in which the location information of moving objects changes over time.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.25-30
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• 2024

Smart City, a key application area of the AIoT (Artificial Intelligence of Things), provides various services in safety, security, and healthcare sectors through location tracking and location-based services. an IPS (Indoor Positioning System) is required to implement location-based services, and wireless communication technologies such as WiFi, UWB (Ultra-wideband), and BLE (Bluetooth Low Energy) are being applied. BLE, which enables data transmission and reception with low power consumption, can be applied to various IoT devices such as sensors and beacons at a low cost, making it one of the most suitable wireless communication technologies for indoor positioning. BLE utilizes the RSSI (Received Signal Strength Indicator) to estimate the distance, but due to the influence of multipath fading, which causes variations in signal strength, it results in an error of several meters. In this paper, we conducted research on a path loss model that can be applied to BLE IPS for proximity services, and confirmed that optimizing the free space propagation loss coefficient can reduce the distance error between the Tx and Rx devices.

• Journal of information and communication convergence engineering
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• v.10 no.2
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• pp.181-186
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• 2012

Telematics services include automatic location tracking for emergency rescue, which is available for use in case of a car accident due to falling off roadways. This paper presents a simulation study on how far a car will fall before it hits the ground if it drops off of a roadway due to an accident or a natural disaster. The greatest horizontal distance the falling car can travel is presented in this paper, based on the assumption that air resistance as well as the direction and degree of acceleration due to gravity is negligible. This paper also presents the depth of the dent caused by the car sinking into the ground, the time it took for the car to fall free, and the velocity at which it travelled and horizontal distance it traveled. In this paper, the damage done to cars that crash into the ground and the dangers thereof are graphically represented.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.51-54
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• 2011

Telematics services include automatic location tracking for emergency rescue, which is available for use in case of a car accident due to falling off roadways. This paper presents a simulation study on how far a car will fall before it hits the ground, if dropped off the roadway due to an accident or a natural disaster. The greatest distance the falling car can travel is presented in this paper, on the assumption that air resistance as well as the direction and size of the acceleration due to gravity is negligible.

• Annual Conference of KIPS
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• 2008.05a
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• pp.1013-1016
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• 2008

개인용 컴퓨터와 인터넷, 그 밖의 다양한 기술의 발전으로 사람들은 일상마저 데이터화 되어 관리되고 보여지게 되었다. 그 중에서 위치 기반 서비스는 점점 일상화되어 웹 사이트를 통해 개인별 위치추적까지 서비스되고 있다. 더 많은 정보를 원하는 사람들의 욕구와 소프트웨어의 발전은 RIA(Rich Internet Application)라는 새로운 트랜드를 만들었고, 기존의 HTML 에서는 불가능 했던 동적이면서도 강력한 기능을 제공하는 기술들이 늘어가고 있다 본 논문은 Ajax를 이용하여 별도의 프로그램 설치 없이 동적이면서 풍부한 이동체의 위치추적 서비스를 설계 구현한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.6C
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• pp.578-587
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• 2009

In 2005, Ko-Kim-Kwon pointed out Henrici-Muller's hash based RFID authentication protocol is insecure to location tracking attack, spoofing attack and Denial of Service attack. Then, they proposed a new RFID authentication protocol(3K-RFID) that can withstand these security problems. However, this paper shows that 3K-RFID authentication protocol is still not only vulnerable to spoofing attack and Denial of Service attack but also does not provide forward secrecy, and then proposes an improved secure I3K-RFID authentication protocol in order to resolve such problems.