• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.71-76
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• 2019

Research on indoor location tracking technology using smartphone is actively being carried out. Especially, the movement distance of the smartphone should be accurately measured and the movement route of the user should be displayed on the map. Location tracking technology using sensors mounted on smart phones has been used for a long time, but accuracy is not good enough to measure the moving distance of the user using only the sensor. Therefore, when the user moves the smartphone in a certain posture, it must research and develop an appropriate algorithm to measure the distance accurately. In this paper, we propose a method to reduce moving distance estimation error by removing user 's foot shape by limiting the screen of smartphone in pyramid - based optical flow estimation method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.331-339
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• 2008

Nowadays with advancement in technology and aging society, the number of disabled citizens is increasing. The disabled citizens always need a caretaker for daily life routines especially for mobility. In future, the need is considered to increase more. To reduce the burden from the disabled, various devices for healthcare are introduced using computer technology. The power wheelchair is an important and convenient mobility device. The demand of power wheelchair is increasing for assistance in mobility. In this paper we proposed a robotic wheelchair for mobility aid to reduce the burden from the disabled. The main issue in an autonomous wheelchair is the automatic detection and avoidance of obstacles and going to the pre-designated place. The proposed algorithm detects the obstacles and avoids them to drive the wheelchair to the desired place safely. By this way, the disabled will not always have to worry about paying deep attention to the surroundings and his path. User has a handheld bio-sensor monitoring system for get user's bio-signal. If user detects unusual signal, alarm send to protector.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.15-21
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• 2011

In the range-based localization, the localization accuracy will be high dependent on the accuracy of distance measurement between two nodes. The received signal strength(RSS) is one of the simplest methods of distance measurement, and can be easily implemented in a ranging-based method. However, a RSS-based localization scheme has few problems. One problem is that the signal in the communication channel is affected by many factors such as fading, shadowing, obstacle, and etc, which makes the error of distance measurement occur and the localization accuracy of sensor node be low. The other problem is that the sensor node estimates its location for itself in most cases of the RSS-based localization schemes, which makes the sensor network life time be reduced due to the battery limit of sensor nodes. Since beacon nodes usually have more resources than sensor nodes in terms of computation ability and battery, the beacon node based localization scheme can expand the life time of the sensor network. In this paper, therefore we propose a beacon node based localization algorithm using received signal strength(RSS) and path loss calibration in order to overcome the aforementioned problems. Through simulations, we prove the efficiency of the proposed scheme.

• Journal of IKEEE
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• v.26 no.2
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• pp.169-175
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• 2022

This paper introduces an interference elimination method using k-nearest neighbor (KNN) algorithm for precise distance estimation by reducing interference between ultrasonic sensors. Conventional methods compare current distance measurement result with previous distance measurement results. If the difference exceeds some thresholds, conventional methods recognize them as interference and exclude them, but they often suffer from imprecise distance prediction. KNN algorithm classifies input values measured by multiple ultrasonic sensors and predicts high accuracy outputs. Experiments of distance measurements are conducted where interference frequently occurs by multiple ultrasound sensors of same type, and the results show that KNN algorithm significantly reduce distance prediction errors. Also the results show that the prediction performance of KNN algorithm is superior to conventional voting methods.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.203-204
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• 2008

한의학 진단의 중요 요소인 맥진을 자동화한 맥진기에서뿐만 아니라 비관혈적 심혈관 기능 평가를 위해서 요골동맥 맥파 측정이 널리 활용되고 있다. 요골동맥 맥파는 피험자의 생리적, 병리적 원인을 통제하더라도 가압력이 변함에 따라 형태가 달라지며, 어느 시점 맥파를 피험자의 상태를 대표하는 맥파로 해야 할지에 대한 명확한 기준이 없어 맥압이 최대가 되는 시점의 맥파를 사용하고 있다. 그러나, 맥파가 측정되는 가압력 범위뿐만 아니라 맥압이 최대가 되는 시점이 피험자마다 다르기 때문에 정확한 대표 맥파를 획득하기 위해서는 보다 가압력 단계를 늘려야 하며, 결과적으로 측정시간이 보다 길어지게 될 것이다. 본 논문에서는 최소한의 가압단계로도 보다 정확히 대표 맥파를 획득할 수 있는 방법을 개발할 수 있도록, 정밀 제어가 가능한 가압 로봇 축, 가압에 의해 눌리는 피부이동 거리 측정을 위한 레이저 센서, 가압에 따른 피부 반발력과 맥파를 측정할 수 있는 압력 센서로 구성된 테스트 지그를 개발하였다. 이를 통해 모터 이동 스텝 수에 따른 피부 이동 거리 특성, 피부 이동 거리에 따른 맥파 변화 특성 등을 관찰할 수 있었으며, 향후 효과적인 대표 맥파 획득 방법을 개발할 수 있을 것으로 기대한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1071-1078
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• 2018

In this paper, we implemented community driving system for auto-vehicles as a preceding research of drone's community flight. We used ultrasonic sensors in order to measure the distance between vehicles, and designed each vehicles to maintain specific distance to each other, by making the following vehicle to stop moving when the distance is closed to less than 20cm, to start moving when the distance increases to more than 30cm. We have also designed vehicle to accelerate until the distance is closed to 30cm when they are apart for more than 40cm due to contingencies during driving.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.6
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• pp.744-748
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• 2007

In this paper, a new localization method of indoor mobile robot using multi IR(infrared) range sensors is proposed. Each IR range sensor detects the edge of obstacles and wall using the acquired range data. The environment map is built by the merging process of the detected edge data of each sensor. The performance of proposed system is verified by the comparison of the real environment and the detected map in experiments.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.231-232
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• 2009

본 논문에서는 센서네트워크에서 노드의 위치를 추적할 때 기존의 삼각측량을 위해 세 개의 센서간의 거리를 이용하여 계산하는 방법 대신 두 쌍의 센서간의 거리를 이용하여 위치추적을 할 수 있는 방법에 대해 제안한다. 두 개의 센서로부터 인식되는 위치의 정확성을 높이기 위해 관성센서를 사용하여 플립 오류를 해결할 수 있으며 센서 네트워크상에서 노드의 위치를 측정할 수 있는 새로운 방법임을 증명하였다.

• Journal of Animal Environmental Science
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• v.17 no.2
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• pp.93-100
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• 2011

This study was conducted to verify the applicability of robot milking system through acquisition and analysis of model teat's position information using scanning range finder (SRF). Model teats, same size and shape as real teats, were designed to analyze the properties according to the material, distance error and angle error of the sensor. In addition, 2-dimensional distance information of each teats was obtained at same time with 4 teat models and the result were as follows. 1. In the case of the fingers on the experiment for selection of materials for teat model, the distance error was from 4.3 mm to 1.3 mm, average was 2.8 mm as a minimum record. In the case of rubber material, average distance error was 4.3 mm. So, this material was considered to be a most suitable model. 2. The distance error was maximum at 100 mm distance. The more distance increased, the less error increased up to 300 mm. Then the error increased after 300 mm and decreased again. 3. The maximum angle error of 10.1 mm was measured at $170^{\circ}$, in case of $70^{\circ}$ the error was 0.2 mm as a minimum value. There was no specific tendency to error of angle. 4. In the 2-dimensional location error for 4 teat models, distance error was 3.8 mm as minimum and 7.2 mm as maximum. The angle error was $1.2^{\circ}$ as maximum. All of errors were included within the accuracy of sensor, the robot milking system was considered to be applicable to measure the distance of teats due to the measuring velocity of SRF and the hole size of teat-cup.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.571-573
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• 2004

본 논문에서는 휴대용 선량계 시스템에 거리 무선 통신 방식중 Bluetooth를 이용하여 선량계를 구현한 것에 대해 논하였다. 휴대용 선량계란 감마선과 속중성자 및 열중성자를 현장에서 실시간으로 측정 할 수 있는 기기이다. 휴대용 선량계는 선랑계의 소형화를 위해 모듈별로 구성하여 공간의 최적화를 취하였다. 모듈의 구성은 시스템의 전반적인 제어를 하는 CPU부 센서로부터 측정한 데이터를 처리하는 신호처리부 방사선량을 측정하는 센서부로 구성되어졌다. 센서 모들의 PIN 다이오드와 MODFET 센서를 이용하여 감마선, 속중성자, 열중성자를 측정한다. 휴대용 선량계를 관리하고 측정한 데이터의 백업 및 분석을 위하여 PC용 관리프로그램과 근거리 무선 통신(Bluetooth)을 사용하여 통신하도록 만들어 사용하였다. 측정 지역의 방사선량을 휴대용 선량계로 측정하여 PC용 관리프로그램에서 실시간으로 방사선량을 확인 할 수 있다.