• Title/Summary/Keyword: Digital Compass

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Object Tracking Algorithm for Intelligent Robot using Sound Source Tracking Sensor Network (음원 센서네트워크를 이용한 지능형 로봇의 목표물 추적 알고리즘)

  • Jang, In-Hun;Park, Kyoung-Jin;Yang, Hyun-Chang;Lee, Jong-Chang;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.10
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    • pp.983-989
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    • 2007
  • Most of life thing including human being have tendency of reaction with inherently their own pattern against environmental change caused by such as light, sound, smell etc. Especially, a sense of direction often works as a very important factor in such reaction. Actually, human or animal lift that can react instantly to a stimulus determine their action with a sense of direction to a stimulant. In this paper, we try to propose how to give a sense of direction to a robot using sound being representative stimulant, and tracking sensors being able to detect the direction of such sound source. We also try to propose how to determine the relative directions among devices or robots using the digital compass and the RSSI on wireless network.

On the software of geometry education in the internet age (인터넷 환경의 동적기하 S/W에 관한 연구)

  • 김태순;박경수;전명진;최건돈;한동숭
    • Journal of the Korean School Mathematics Society
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    • v.6 no.2
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    • pp.39-53
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    • 2003
  • We study the dynamic geometry software suitable for the Internet Environment. First, we look into the necessity of dynamic geometry software and compare the functions and the features of commercial softwares, GSP, Cabri and Cinderella. Secondly, we introduce the process of development and the structure of the new software DRC(Digital Ruler and Compass) designed by authors and discuss the learning program with DRC and Internet, and view the upgrade of the software in the future.

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A Hybrid Positioning System for Indoor Navigation on Mobile Phones using Panoramic Images

  • Nguyen, Van Vinh;Lee, Jong-Weon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.3
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    • pp.835-854
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    • 2012
  • In this paper, we propose a novel positioning system for indoor navigation which helps a user navigate easily to desired destinations in an unfamiliar indoor environment using his mobile phone. The system requires only the user's mobile phone with its basic equipped sensors such as a camera and a compass. The system tracks user's positions and orientations using a vision-based approach that utilizes $360^{\circ}$ panoramic images captured in the environment. To improve the robustness of the vision-based method, we exploit a digital compass that is widely installed on modern mobile phones. This hybrid solution outperforms existing mobile phone positioning methods by reducing the error of position estimation to around 0.7 meters. In addition, to enable the proposed system working independently on mobile phone without the requirement of additional hardware or external infrastructure, we employ a modified version of a fast and robust feature matching scheme using Histogrammed Intensity Patch. The experiments show that the proposed positioning system achieves good performance while running on a mobile phone with a responding time of around 1 second.

Acquisition Method for Deviation Coefficients Band B and C at a Single Bearing (단일 침로에서의 자차 계수 B 와 C 획득방법)

  • Yim Jeong-Bin;Sim Yeong-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.11a
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    • pp.23-32
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    • 2004
  • This paper describes a new estimation method for deviation coefficients, B and C. using only measured single deviation at a fixed compass bearing. At first, some problems in the deviation synthesis with only two coefficients, B and C, are discussed using observed deviation values measured in the four USS warships. Then, acquisition theories and procedures to obtain optimal coefficients, B and C, are expanded and then the efficiencies of the proposed prediction method are evaluated. As results from evaluations, it is shown that the approximated coefficients, B and C, can give optimal approximation to observed single deviation.

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A New Method for the Acquisition of Deviation Coefficients B and C at a Single Magnetic Heading (단일 자기침로에서의 자차계수 B와 C의 새로운 획득방법)

  • Yim Jeong-Bin;Sim Yeong-Ho
    • Journal of Navigation and Port Research
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    • v.28 no.10 s.96
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    • pp.851-859
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    • 2004
  • This paper describes a new method for the acquisition of deviation coefficients, B and C, using a single observed deviation at a fixed compass heading. At first it discusses some problems in the synthesis of two coefficients, B and C, from various observed deviation values in the four USS warships. Then, new theories and procedures for optimal coefficients, $\^{B}\;and\;\^{C},$ are dealt with and then the validity of the proposed method are evaluated. The result of findings indicates that the approximated coefficients, $\^{B}\;and\;\^{C},$ can give optimal approximation to an single observed deviation.

A Study on the Earth's Variation Prediction Using Geomagnetic Model (지구자기 모델을 이용한 편차 추정에 관한 연구)

  • Saha, Rampadha;Yim, Jeong-Bin
    • Proceedings of KOSOMES biannual meeting
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    • 2006.11a
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    • pp.131-135
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    • 2006
  • The objective of the project is to model and study the geomagnetic field structure and its secular variation in space and in time due to sources in the dynamic fluid outer core. the Earth's spherical harmonic model of the main field and of the secular variation gives the intensity and geomagnetic structure at any location around the Earth, assuming an undistorted, steady state field that no external sources or localized earth anomalies. To consider the practical use of a ship's digital compass in Earth's magnetic field, Earth's spherical harmonic model is searched for the related practical methods and procedures as a basic study in this work.

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A Study on a 3-D Localization of a AUV Based on a Mother Ship (무인모선기반 무인잠수정의 3차원 위치계측 기법에 관한 연구)

  • LIM JONG-HWAN;KANG CHUL-UNC;KIM SUNG-KYUN
    • Journal of Ocean Engineering and Technology
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    • v.19 no.2 s.63
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    • pp.74-81
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    • 2005
  • A 3-D localization method of an autonomous underwater vehicle (AUV) has been developed, which can solve the limitations oj the conventional localization, such as LBL or SBL that reduces the flexibility and availability of the AUV. The system is composed of a mother ship (small unmanned marine prober) on the surface of the water and an unmanned underwater vehicle in the water. The mother ship is equipped with a digital compass and a GPS for position information, and an extended Kalman filter is used for position estimation. For the localization of the AUV, we used only non-inertial sensors, such as a digital compass, a pressure sensor, a clinometer, and ultrasonic sensors. From the orientation and velocity information, a priori position of the AUV is estimated by applying the dead reckoning method. Based on the extended Kalman filter algorithm, a posteriori position of the AUV is, then, updated by using the distance between the AUV and a mother ship on the surface of the water, together with the depth information from the pressure sensor.

A Study on Global Positioning System of Smart Phone in indoor (실내에서 스마트폰의 글로벌 좌표 인식 시스템에 관한 연구)

  • Oh, Jongtaek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.151-156
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    • 2015
  • As the proliferation of smart phone, almost every user has one's own smart phone, and the user could get the global position and location based services using GPS system outdoors. But indoor positioning system using GPS does not work, and it could not detect global position using TDOA local positioning system. In this paper, a new indoor global positioning system for smart phone employing GPS receiver and electronic compass device is proposed with the TDOA local positioning system using acoustic signal, and the performance and the experimental result are described.

Design of the Digital Neuron Processor and Development of the Algorithm for the Real Time Object Recognition in the Making Automatic System (생산자동화 시스템에서 실시간 물체인식을 위한 디지털 뉴런프로세서의 설계 및 알고리즘 개발)

  • Hong, Bong-Wha;Lee, Seung-Joo
    • The Journal of Information Technology
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    • v.6 no.4
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    • pp.11-23
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    • 2003
  • We proposes that Design of the Digital Neuron Processor and Development of the Algorithm for the real time object recognition in the making Automatic system which uses the residue number system making the high speed operation possible without carry propagation, in this paper. Consisting of MAC(Multiplication and Accumulation) operator unit using Residue number system and sigmoid function operator unit using Mixed Residue Conversion is designed. The Designed circuits are descripted by C language and VHDL and synthesized by Compass tools. Finally, the designed processor is fabricated in 0.8${\mu}m$ CMOS process. Result of simulations shows that critical path delay time is about 19nsec and operation speed is 0.6nsec and the size can be reduced to 1/2 times co pared to the neural networks implemented by the real number operation unit. The proposed design the digital neuron processor can be implemented of the object recognition in the making Automatic system with desired real time processing.

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Localization Algorithm in Wireless Sensor Networks using the Acceleration sensor (가속도 센서를 이용한 무선 센서 네트워크하에서의 위치 인식 알고리즘)

  • Hong, Sung-Hwa;Jung, Suk-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.4
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    • pp.1294-1300
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    • 2010
  • In an environment where all nodes move, the sensor node receives anchor node's position information within communication radius and modifies the received anchor node's position information by one's traveled distance and direction in saving in one's memory, where if there at least 3, one's position is determined by performing localization through trilateration. The proposed localization mechanisms have been simulated in the Matlab. In an environment where certain distance is maintained and nodes move towards the same direction, the probability for the sensor node to meet at least 3 anchor nodes with absolute coordinates within 1 hub range is remote. Even if the sensor node has estimated its position with at least 3 beacon information, the angle ${\theta}$ error of accelerator and digital compass will continuously apply by the passage of time in enlarging the error tolerance and its estimated position not being relied. Dead reckoning technology is used as a supplementary position tracking navigation technology in places where GPS doesn't operate, where one's position can be estimated by knowing the distance and direction the node has traveled with acceleration sensor and digital compass. The localization algorithm to be explained is a localization technique that uses Dead reckoning where all nodes are loaded with omnidirectional antenna, and assumes that one's traveling distance and direction can be known with accelerator and digital compass. The simulation results show that our scheme performed better than other mechanisms (e.g. MCL, DV-distance).