• 한국컴퓨터정보학회논문지
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• 제13권7호
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• pp.139-148
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• 2008

센서네트워크는 다양한 분야에서 활용되고 있다. 센서네트워크 노드들이 모바일 환경으로 진화함에 따라 클러스터를 구축하고 클러스터 헤더를 선정함에 있어 이에 적합한 방법으로 구축해야 한다. 본 논문에서는 동적 스카이라인 질의 속성 중 방향, 앵글, 홉을 메트릭스로 이용한 동적 예측클러스터링 알고리즘을 제안한다. 제안 알고리즘은 이동 센서노드를 중심으로 클러스터를 형성하고 클러스터 헤더를 선정하는 알고리즘이다. 제안 알고리즘에서는 "Adv"메시지 발생으로 이동 센서노드의 불필요한 에너지 낭비를 줄이고 효율적인 클러스터링을 위한 센서노드의 밀집도에 따라 동적 클러스터를 형성하여 센서노드의 평균 에너지를 2.9배 줄여 네트워크 생명주기를 연장해 준다. 또한 동적 클러스터를 유지함으로 클러스터 내 홉 수를 최적화하여 노드의 평균 에너지 소비율이 14% 감소하였다.

• 한국정보통신학회논문지
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• 제13권3호
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• pp.615-622
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• 2009

무선통신과 하드웨어 기술의 발전에 의해 센서 네트워크에 사용되는 센서 노드의 성능은 점차 향상되어 가고 있다. 뿐만 아니라 최근에는 CMOS 이미지 센서 기술의 발전에 의해 센서 네트워크에 멀티미디어 데이터를 활용한 멀티미디어센서 네트워크 연구가 활발히 진행되고 있다. CMOS 이미지 센서는 기존의 CCD에 비해 저가격으로 생산이 가능하고 저전력의 특징을 가진다. 이러한 CMOS 이미지 센서를 활용한 멀티미디어 센서 네트워크는 기존의 센서 네트워크를 이용한 화재감시, 방범 시스템 등의 어플리케이션에 영상 데이터를 제공함으로써 보다 신뢰성 있는 정보를 제공할 수 있다. 본 논문에서는 CMOS 이미지 센서를 이용한 이미지 센서 모듈과 이를 활용한 멀티미디어 센서네트워크를 설계 및 구현한다. 구현된 멀티미디어 센서 네트워크를 통해 이미지 데이터 수집을 테스트하고 그 성능을 분석한다.

• 대한임베디드공학회논문지
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• 제15권5호
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• pp.215-225
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• 2020

Light detection and ranging (LiDAR) sensors detect the distance of the surrounding environment and objects. Conventional LiDAR sensors require a certain amount of a power because they detect objects by transmitting lasers at a regular interval depending on a constant resolution. The constant power consumption from operating multiple LiDAR sensors is detrimental to autonomous and electric vehicles using battery power. In this paper, we propose two algorithms that improve the inefficient power consumption during the constant operation of LiDAR sensors. LiDAR sensors with algorithms efficiently reduce the power consumption in two ways: (a) controlling the resolution to vary the laser transmission period (T_P) of a laser diode (LD) depending on the vehicle's speed and (b) reducing the static power consumption using a sleep mode depending on the surrounding environment. A proposed LiDAR sensor with a resolution control algorithm reduces the power consumption of the LD by 6.92% to 32.43% depending on the vehicle's speed, compared to the maximum number of laser transmissions (N_x·max). The sleep mode with a surrounding environment-sensing algorithm reduces the power consumption by 61.09%. The proposed LiDAR sensor has a risk factor for 4-cycles that does not detect objects in the sleep mode, but we consider it to be negligible because it immediately switches to an active mode when a change in surrounding conditions occurs. The proposed LiDAR sensor was tested on a commercial processor chip with the algorithm controlling the resolution according to the vehicle's speed and the surrounding environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권3호
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• pp.990-1013
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• 2015

Deploying sensors into a target region is a key issue to be solved in building a wireless sensor network. Various deployment algorithms have been proposed by the researchers, and most of them are evaluated under the ideal conditions. Therefore, they cannot reflect the real environment encountered during the deployment. Moreover, it is almost impossible to evaluate an algorithm through practical deployment. Because the deployment of sensor networks require a lot of nodes, and some deployment areas are dangerous for human. This paper proposes a deployment approach to solve the problems mentioned above. Our approach relies on the satellite images and the Virtual Force Algorithm (VFA). It first extracts the topography and elevation information of the deployment area from the high resolution satellite images, and then deploys nodes on them with an improved VFA. The simulation results show that the coverage rate of our method is approximately 15% higher than that of the classical VFA in complex environment.

• 한국자동차공학회논문집
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• 제22권6호
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• pp.14-22
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• 2014

An autonomous vehicle requires a technology of generating maps by recognizing surrounding environment. The recognition of the vehicle's environment can be achieved by using distance information from a 2D laser scanner and color information from a camera. Such sensor information is used to generate 2D or 3D maps. A 2D map is used mostly for generating routs, because it contains information only about a section. In contrast, a 3D map involves height values also, and therefore can be used not only for generating routs but also for finding out vehicle accessible space. Nevertheless, an autonomous vehicle using 3D maps has difficulty in recognizing environment in real time. Accordingly, this paper proposes the technology for generating 2D maps that guarantee real-time recognition. The proposed technology uses only the color information obtained by removing height values from 3D maps generated based on the fusion of 2D laser scanner and camera data.

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1122-1131
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• 2012

This paper presents obstacle avoidance method for scout robot or industrial robot in unknown environment by using IR sensor and vision system. In the proposed method, robots share the information where the obstacles are located in real-time, thus the robots can choose the best path for obstacle avoidance. Using IR sensor and vision system, multiple robots efficiently evade the obstacles by the proposed cooperation method. No landmark is used at wall or floor in experiment environment. The obstacles don't have specific color or shape. To get the information of the obstacle, vision system extracts the obstacle coordinate by using an image labeling method. The information obtained by IR sensor is about the obstacle range and the locomotion direction to decide the optimal path for avoiding obstacle. The experiment was conducted in $7m{\times}7m$ indoor environment with two-wheeled mobile robots. It is shown that multiple robots efficiently move along the optimal path in cooperation with each other in the space where obstacles are located.

• 제어로봇시스템학회논문지
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• 제11권4호
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• pp.304-313
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• 2005

The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, robot need to recognize his position and direction for intelligent performance in an unknown environment. And the mobile robots may navigate by means of a number of monitoring systems such as the sonar-sensing system or the visual-sensing system. Notice that in the conventional fusion schemes, the measurement is dependent on the current data sets only. Therefore, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this research, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the accurate measurement. As a general approach of sensor fusion, a UT -Based Sensor Fusion(UTSF) scheme using Unscented Transformation(UT) is proposed for either joint or disjoint data structure and applied to the landmark identification for mobile robot navigation. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations and experiments. The newly proposed, UT-Based UTSF scheme is applied to the navigation of a mobile robot in an unstructured environment as well as structured environment, and its performance is verified by the computer simulation and the experiment.

• 한국지하수토양환경학회지:지하수토양환경
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• 제26권6호
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• pp.157-164
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• 2021

Smart agriculture requires sensing systems which are fundamental for precision agriculture. Adequate and appropriate water and nutrient supply not only improves crop productivity but also benefit to environment. However, there is no available soil sensor to continuously monitor nutrient status in soil. Electrical conductivity (EC) of soil is affected by ion contents in soil and can be used to evaluate nutrient contents in soil. Comparison of various commercial EC sensors showed similar water content and EC values at water content less than 20%. Soil EC values measured by sensors decreased with decreasing soil water content and linearly correlated with soil water content. EC values measured by soil sensor were highly correlated with water soluble nutrient contents such as Ca, K, Mg and N in soil indicating that the soil EC sensor can be used for monitoring changes in plant available nutrients in soil.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.467-470
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• 2016

이 논문은 농업 비즈니스에서 농산물 생장/유통 환경에서의 센서 정보를 GS1 표준을 통해 운용하는 방법을 다룬다. 농산물 생장/유통 환경 모니터링을 위해 사용되는 센서들의 종류와, 이러한 센서 정보를 운용하기 위한 GS1 표준 식별자, 표준 이벤트의 구조, 생장/유통 환경정보를 저장/공유하는 스키마의 구조를 정의하며, 표준 인터페이스로 정보를 저장,공유 하는 방법을 설명한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.737-747
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• 2011

5678SMRT has installed various sensor for operating conditions(field of electric, facilities, signal, communication equipment and track) and environment of Every Function Room for remotely detecting and monitoring. Installed sound sensor for analyzed after remotely heard the noise of every equipment at Every Function Room and temperature sensor for check the temperature condition of Every Function Room. Additional installed voltage sensor in signal equipment room for monitoring RF track-circuit's voltage condition. Installed displacement sensor at The Chungdam bridge's railway for measuring and monitoring track displacement caused by temperature change and Pan/Tilt camera at sub-station and drainage for remotely field monitoring. Installed sensor for each equipment's operating condition and failure at Every Function Room then periodic check of workforce turned to around-the-clock surveillance by sensor therefore improvement of operating equipment. SMRT is lots of prevent a failure by Immediately detect of precondition of equipment failure by analyzed the sensor data. If the occurrence of an failure, become detected Immediately so possibility correct diagnosis and order by remotely field check by installed camera and sound sensor at field.