• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.527-528
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• 2022

LBS(Location-Based Service)로 센서 혹은 이동 단말의 위치를 인식할 수 있는 장비들이나 모듈들을 사용하여 산악지역이나 건물이 밀집한 도심지역 혹은 이동 단말들이 쉽게 이동할 수 있는 공간에서 이동 단말들의 위치를 드론을 기반으로 위치를 확인하는 것은 쉬운 일이 아닐 것이다. 그러나, 기술의 발전으로 인한 GPS의 성능이 발전하였지만 아직 GPS모듈을 이용한 위치 인식시스템에는 해상 및 육상에서의 위치 인식에서 많이 사용되고 있으며 보다 많은 활용 여지가 많이 남아 있다. 현재 대부분의 기존 센서네트워크의 위치 인식은 다수의 이동형 기지국이 GPS에 의존한 위치정보를 가지고 이동 단말에게 최소 3개 이상의 위치 파악 송신 정보 메시지를 보내주어야 하지만, 가속도 센서를 활용하여 어느 정도의 이동 속도를 유지하는 이동식 중계기의 위치 인식은 효율적인 통신망 연결을 위해 필요하다.

• 한국정밀공학회지
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• 제17권10호
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• pp.141-146
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• 2000

We introduce the algorithms of 3-D position estimation using a laser sensor for automatic die remodeling. First, a vision sensor based on the optical triangulation was used to collect the range data of die surface. Second, line vector equations were constructed by the measured range data, and an analytic algorithm was proposed for recognizing the die location with these vector equations. This algorithm could make the transformation matrix without any specific corresponding points. To ascertain this algorithm, folded SUS plate was measured by the laser vision sensor attached to a 3-axis cartesian manipulator and the transformation matrix was calculated.

• 전기학회논문지
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• 제59권9호
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• pp.1692-1698
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• 2010

In this paper we use wireless sensor network and ultrasonic sensors to estimate local position of mobile robots, and to navigate it. Ultra sonic sensor is simple and accurate so it is good to use in local estimation and navigation of mobile robots. But to obtain accurate distance of two sensors they need to face each others as possible as they can. To solve this problem we rotate ultra sonic sensor which is attached to robot in 360 degrees and obtain accurate distance. We can estimate precise position of mobile robot by triangulation using obtained distance information. A mobile robot navigates using embedded encoder and compensates its coordinates by ultrasonic sensors. Results of Experiments show proposed method obtains accurate distance between sensors and coordinates of position of robot. And mobile robots can navigate designated path well.

• 한국소음진동공학회논문집
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• 제17권4호
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• pp.324-332
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• 2007

Sensor placement method for damage identification has been developed for model updating using Taguchi method. In order to select the optimal sensor location, the analysis of variance of objective function using orthogonal array was carried out. Then, modal data at the selected locations were used for damage identification using model updating. The numerical model of a cantilever beam was used in order to compare the damage identification results with conventional sensor location method.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.431-432
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• 2018

인간은 행동을 인식하는데 가속도 센서를 많이 사용해왔다. 관성력, 전기변형, 자이로의 응용 원리를 이용한 이 센서는 3차원 축에 인가되는 힘을 통해 간접적으로 움직임을 측정한다. 여기에는 같은 방법이라도 소지하는 센서의 위치에 따라서 다른 결과가 나올 수 있다. 대중적으로 많이 쓰이는 스마트폰에도 탑재되어 있는 이 센서는 오늘날 현대인들이 자주 사용하는 형태인 손에 들고 있거나 주머니에 넣은 상태에서 가속도 센서의 값을 측정했을 때 어떻게 다른지 비교하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.99-100
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• 2006

One of the fundamental problems in sensor networks is the deployment of sensor nodes. The Fuzzy C-Means(FCM) clustering algorithm is proposed to determine the optimum location and minimum number of sensor nodes for the specific application space. We performed a simulation using two dimensional L shape model. The actual length of the L shape model is about 100m each. We found the minimum number of 15 nodes are sufficient for the complete coverage of modeled area. We also found the optimum location of each nodes. The real deploy experiment using 15 sensor nodes shows the 95.7%. error free communication rate.

• 제어로봇시스템학회논문지
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• 제16권5호
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• pp.420-427
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• 2010

This paper describes a localization method based on Monte Carlo Localization approach for a mobile robot. The method uses range data which are measured from ultrasound transmitting beacons whose locations are given a priori. The ultrasound receiver on-board a robot detects the range from the beacons. The method requires several beacons, theoretically over three. The method proposes a sensor model for the range sensing based on statistical analysis of the sensor output. The experiment uses commercialized beacons and detector which are used for trilateration localization. The performance of the proposed method is verified through real implementation. Especially, it is shown that the performance of the localization degrades as the sensor update rate decreases compared with the MCL algorithm update rate. Though the method requires exact location of the beacons, it doesn't require geometrical map information of the environment. Also, it is applicable to estimation of the location of both the beacons and robot simultaneously.

• Journal of Information Processing Systems
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• 제5권3호
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• pp.145-150
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• 2009

The awareness of boundaries in wireless sensor networks has many benefits. The identification of boundaries is especially challenging since typical wireless sensor networks consist of low-capability nodes that are unaware of their geographic location. In this paper, we propose a simple, efficient algorithm to detect nodes that are near the boundary of the sensor field as well as near the boundaries of holes. Our algorithm relies purely on the connectivity information of the underlying communication graph and does not require any information on the location of nodes. We introduce the 2-neighbor graph concept, and then make use of it to identify nodes near boundaries. The results of our experiment show that our algorithm carries out the task of topological boundary detection correctly and efficiently.

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1159-1166
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• 2010

Today, detecting the location of moving object has been traced as various methods in our world. In this paper, we preset the system to improve the estimation accuracy utilizing detail localization using radar sensor based on WSN and situational awareness for a calibration (context aware) database, Rail concept. A variety of existing location tracking method has a problem with receiving of data and accuracy as tracking methodology, and since these located data are the only data to be collected for location tracing, the context aware or monitering as the surrounding environment is limited. So, in this paper, we enhanced the distance aware accuracy using radar sensor utilizing the Doppler effect among the distance measuring method, estimated the location using the Triangulation algorithm. Also, since we composed the environment data(temperature, illuminancem, humidity, noise) to entry of the database, it can be utilized in location-based service according to the later action information inference and positive context decision. In order to verify the validity of the suggested method, we give a few random situation and built test bed of designed node, and over the various test we proved the utilizing the context information through route tracking of moving and data processing.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.430-433
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• 2006

유비쿼터스 헬스케어용 초음파와 RF 기술을 이용한 무선센서네트워크 기반의 실내 위치 추적 시스템을 구현하고 테스트하였다. 개발된 실내 위치인식 시스템은 헬스케어를 위한 홈네트워크 장치의 하나로서 노인이나 만성질환자의 이동성과 활동성을 측정하는데 주안점을 두어 개발되었다. 천장에 설치된 비컨들은 RF 신호를 사용하여 위치정보를 listener에게 전송하게 되며, listener는 삼각측량법을 사용하여 3개의 비컨들로부터 얻어진 좌표 값을 계산하여 실내에서의 사람이나 물체의 위치 측정 뿐만아니라 환자의 활동성측정이 가능하도록 개발되었다. 본 연구에서는 위치에 대한 보안이 가능하도록 수동형식의 위치인식 시스템을 구현하고 비용절감을 위해 센서노드 사이의 연결이 무선으로 되도록 ad-hoc 알고리즘을 개발하였다.