• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2006년도 춘계학술발표대회
• /
• pp.1089-1092
• /
• 2006

오늘날 통신 환경이 유선에서 무선으로 확장됨에 따라 단말기의 이동성이 강조 되고 있다. 고정적인 유선환경에서 통신 지역을 수시로 변경하는 이동환경으로의 변화는 Handoff기술의 중요성을 부각시켰다. Handoff란 통신지역을 변경 하는 것으로 이때 단말기의 정보를 새 통신지역에 맞게 변경 하는 단계에서 짧은 시간이나마 접속이 끊기게 된다. 본 논문에서는 Handoff문제를 해결하기 위해서 제안된 논문들 중에서 노드의 이동을 감지 하는 Movement Detection과정의 경량화에 초점을 맞추어 분석 하였다. 본 논문을 통하여 Movement Detection에서의 Handoff 경량화를 위해서는 전송시간과 Movement Detection 메커니즘의 개선 보다는 대기 시간을 줄이는 방법이 효율적임을 알아 보았다. 또한, 기존 이동노드에서 수행하는 Handoff 과정을 라우터에서 수행시 이동노드의 프로세싱 경량화는 가능하지만 라우터의 부하를 가져옴을 알게 되었다.

• 한국통신학회논문지
• /
• 제40권6호
• /
• pp.1120-1129
• /
• 2015

본 논문은 심박에 동기화된 맥파 즉 PPG신호를 측정하고, 신호에 동잡음이 포함 되어있는지를 판단하는 방안을 제안한다. 피 측정자의 움직임에 의한 동잡음은 PPG신호를 심각하게 왜곡한다. 따라서 신호에 동잡음이 포함되었는지 판단하는 신호처리 방법이 요구된다. 본 논문에서는 측정하는 PPG신호에 동잡음이 포함되어있는지를 판단하기 위해 국소푸리에변환 대신 웨이블릿 변환을 이용하여 결정하는 신호처리 방법을 제안한다. 또한, 다양한 웨이블릿 중에서 피실험자의 PPG 신호에 적응된 웨이블릿 선택하였다. 실험에서 사용자가 측정 전체 시간 대비 20%, 30% 시간동안 임의의 움직임을 통해 동잡음을 포함시킨 경우 제안한 신호처리 방법을 이용한 결과 사용자가 동잡음을 포함시킨 모든 구간을 동잡음이 포함된 구간으로 판단하였으며, 고정 웨이블릿 방법보다 더 우수한 성능을 보였다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
• /
• pp.567-569
• /
• 2006

Recently, the terrestrial laser scanner is considered as useful measurement equipment for acquiring a three-dimensional data. In this study, a terrestrial laser scanner which has +/- 2.5cm accuracy is examined whether the terrestrial laser scanner is reliable to present the tendency of landslide movement. The test area is covered by protection blocks, and they are being moved by landslide movement. Landslide movement was detected by measuring the movement of protection blocks. Totally three scenes of test area were acquired during 2004 and 2006. The three scenes of the protection blocks were registered in global coordinate system, then the landslide movement was investigated. The landslide movement detected in the three scenes was evaluated by comparing with landslide movement measured by a total station. Although the measurement accuracy of landslide using the terrestrial laser scanner was worse than the total station, the scanning data showed the tendency of landslide movement of the test area.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제51권8호
• /
• pp.374-379
• /
• 2002

In this study, we developed a new human arm movement detection system using electrical bio-impedance method with several skin-electrodes. The correlation coefficients of the joint angle and the impedance change from human arm movement was obtained using a goniometer and impedance measurement system developed in this study. The correlation coefficients of the wrist and the elbow movements were 0.94 and -0.99, respectively. This system was applied to control a robotic arm by converting the measured impedance to joint angle to confirm the validity of the proposed system. In conclusion, we confirmed that this system can control the robotic arm according to arm movement without any limitation of movement. This system showed possibility that upper arm movement could be easily measured by impedance measurement system with a few skin-electrodes.

• 산업경영시스템학회지
• /
• 제44권4호
• /
• pp.169-176
• /
• 2021

Maritime monitoring requirements have been beyond human operators capabilities due to the broadness of the coverage area and the variety of monitoring activities, e.g. illegal migration, or security threats by foreign warships. Abnormal vessel movement can be defined as an unreasonable movement deviation from the usual trajectory, speed, or other traffic parameters. Detection of the abnormal vessel movement requires the operators not only to pay short-term attention but also to have long-term trajectory trace ability. Recent advances in deep learning have shown the potential of deep learning techniques to discover hidden and more complex relations that often lie in low dimensional latent spaces. In this paper, we propose a deep autoencoder-based clustering model for automatic detection of vessel movement anomaly to assist monitoring operators to take actions on the vessel for more investigation. We first generate gridded trajectory images by mapping the raw vessel trajectories into two dimensional matrix. Based on the gridded image input, we test the proposed model along with the other deep autoencoder-based models for the abnormal trajectory data generated through rotation and speed variation from normal trajectories. We show that the proposed model improves detection accuracy for the generated abnormal trajectories compared to the other models.

• 드라이브 ㆍ 컨트롤
• /
• 제19권3호
• /
• pp.23-31
• /
• 2022

Traffic safety issues have recently been seriously magnified, due to child deaths in apartment complexes and parking lots. Accordingly, traffic safety technologies are being developed to recognize dangerous situations on living roads and to provide warning services. In this study, a collision detection algorithm was developed to prevent collision accidents between moving objects, by using object type and location information provided from CCTV monitoring devices. To determine the exact collision between moving objects, an object movement model was developed to predict the range of movement by considering the moving characteristics of the object, and a collision detection algorithm was developed to efficiently analyze the presence and location of the collision. The developed object movement model as well as the collision detection algorithm were simulated, in a virtual space of an actual living road to verify performance and derive supplementary matters.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
• /
• pp.25-28
• /
• 2000

Gaze detection is to find out the position on a monitor screen where a user is looking at, using the computer vision processing. This System can help the handicapped to use a computer, substitute a touch screen which is expensive, and navigate the virtual reality. There are basically two main types of the study of gaze detection. The first is to find out the location by face movement, and the second is by eye movement. In the gaze detection by eye movement, we find out the position with special devices, or the methode of image processing. In this paper, we detect not the iris but the pupil from the image captured by Head-Mounted Camera with infra-red light, and accurately locate the position where a user looking at by A(fine Transform.

• 한국컴퓨터정보학회논문지
• /
• 제22권12호
• /
• pp.55-61
• /
• 2017

In this paper, we propose a novel tracking method using target separation and detection that are based on discriminative correlation filter (DCF), which is studied a lot recently. 'Retainability' is one of the most important factor of tracking. There are some factors making retainability of tracking worse. Especially, fast movement and occlusion of a target frequently occur in image data, and when it happens, it would make target lost. As a result, the tracking cannot be retained. For maintaining a robust tracking, in this paper, separation of a target is used so that normal tracking is maintained even though some part of a target is occluded. The detection algorithm is executed and find new location of the target when the target gets out of tracking range due to occlusion of whole part of a target or fast movement speed of a target. A variety of experiments with various image data sets are conducted. The algorithm proposed in this paper showed better performance than other conventional algorithms when fast movement and occlusion of a target occur.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.170-170
• /
• 2000

This paper deals with on-Line detection of strip movement and real time positioning of brackets of EMD connected with it. Strip movement is detected by 4 line CCD camera and measured position correction value is inputted to motor position controller to control position of brackets.

• 전기학회논문지
• /
• 제67권12호
• /
• pp.1671-1677
• /
• 2018

In this research, the collision detection system based on insect's visual interneuron has been designed. The lobula giant movement detector (LGMD) corresponds to the movement value that increases in direct collision process. If the collision is detected by the LGMD only, it could generate a crash warning even in a non-collision situation, resulting in a lot of false alarms. Directionally sensitive movement detectors (DSMD) are directionally sensitive algorithm based on the elementary movement detectors (EMD) in four directions (up, down, left, and right). In this paper, we propose an efficient VLSI architecture for a realtime collision detection system that is robust to the surrounding environment while improving accuracy. The proposed architecture is synthesized with Dongbu Hightech 110nm standard cell library and shows 333MHz of maximum operating frequency and requires 8400 gates with about 16.5KB of internal memories.