• Title/Summary/Keyword: Sensor Filtering

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Improved Sensor Filtering Method for Sensor Registry System (센서 레지스트리 시스템을 위한 개선된 센서 필터링 기법)

  • Chen, Haotian;Jung, Hyunjun;Lee, Sukhoon;On, Byung-Won;Jeong, Dongwon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.7-14
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    • 2022
  • Sensor Registry System (SRS) has been devised for maintaining semantic interoperability of data on heterogeneous sensor networks. SRS measures the connectability of the mobile device to ambient sensors based on positions and only provides metadata of sensors that may be successfully connected. The step of identifying the ambient sensors which can be successfully connected is called sensor filtering. Improving the performance of sensor filtering is one of the core issues of SRS research. In reality, GPS sometimes shows the wrong position and thus leads to failed sensor filtering. Therefore, this paper proposes a new sensor filtering strategy using geographical embedding and neural network-based path prediction. This paper also evaluates the service provision rate with the Monte Carlo approach. The empirical study shows that the proposed method can compensate for position abnormalities and is an effective model for sensor filtering in SRS.

Sensor Filtering based on Mobile App Profiles for Enhancing the Processing Performance of Sensor Registry System (센서 레지스트리 시스템의 처리 성능 개선을 위한 모바일 앱 프로파일 기반 센서 필터링)

  • Jeong, Dongwon;Yoo, Hyunseok;Lee, Sukhoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.273-276
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    • 2015
  • 논문에서는 센서 레지스트리 시스템의 성능 개성을 위한 센서 필터링 기법을 제안한다. 센서 레지스트리 시스템은 이질적인 센서 네트워크 환경에서, 즉시적인 센서 데이터의 의미 해석 및 처리를 위한 시스템이다. 센서 레지스트리 시스템은 다양한 장점을 제공하지만 여전히 처리 성능 측면에서 개선이 요구된다. 이 논문에서는 센서 레지스트리 시스템의 불필요한 센서 데이터를 여과하여 처리 속도를 향상시키기 위해 모바일 앱 프로파일을 이용한다. 제안 방법은 기존 센서 레지스트리 시스템의 모바일 기기 측에서 센서 필터링 연산을 수행하게 되며 이를 통해 전체적인 성능을 향상시킨다.

Development of Experimental Mobile Robots for Robotics Engineering Education by Using LEGO MINDSTORM (이동로봇을 중심으로 LEGO MINDSTORM을 응용한 로봇공학 교육용 실습 로봇개발)

  • Park, June-Hyung;Jung, Seul
    • The Journal of Korea Robotics Society
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    • v.7 no.2
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    • pp.57-64
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    • 2012
  • This paper introduces several mobile robots developed by using LEGO MIDSTORM for experimental studies of robotics engineering education. The first mobile robot is the line tracer robot that tracks a line, which is a prototype of wheel-driven mobile robots. Ultra violet sensors are used to detect and follow the line. The second robot system is a two-wheel balancing robot that is somewhat nonlinear and complex. For the robot to balance, a gyro sensor is used to detect a balancing angle and PD control is used. The last robot system is a combined system of a line tracer and a two-wheel balancing robot. Sensor filtering and control algorithms are tested through experimental studies.

LSTM-based Model for Effective Sensor Filtering in Sensor Registry System (센서 레지스트리 시스템에서 효율적인 센서 필터링을 위한 LSTM 기반 모델)

  • Chen, Haotian;Jung, Hyunjun;Lee, Sukhoon;On, Byung-Won;Jeong, Dongwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.12-14
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    • 2021
  • A sensor registry system (SRS) provides semantic metadata about a sensor based on location information of a mobile device in order to solve a problem of interoperability between a sensor and a device. However, if the GPS of the mobile device is incorrectly received, the SRS receives incorrect sensor information and has a problem in that it cannot connect with the sensor. This paper proposes a dual collaboration strategy based on geographical embedding and LSTM-based path prediction to improve the probability of successful requests between mobile devices and sensors to address this problem and evaluate with the Monte Carlo approach. Through experiments, it was shown that the proposed method can compensate for location abnormalities and is an effective multicasting mechanism.

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A Filtering Technique for Stable Marker Tracking in Mobile Augmented Reality (모바일 증강현실 환경에서 안정적인 마커 추적을 위한 필터링 기법)

  • Yoon, Chang-Pyo;Lee, In-Kyung;Hwang, Chi-Gon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.297-299
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    • 2017
  • Recently, the application fields of augmented reality(AR) are rapidly increasing, and related contents are also increasing in demand. In this way, object-based marker recognition is required for service of AR contents in mobile environment. At this time, in order to provide information corresponding to the marker, a technique of generating and servicing a virtual object corresponding to a specific marker is used. However, when a virtual object corresponding to a marker is held on the AR screen, a phenomenon occurs that an object of the marker unstably shakes due to various reasons such as camera shake and camera movement. As described above, the AR service based on the mobile device has a problem that it is difficult to represent objects stably. In this paper, we propose a stable marker recognition and tracking technique by applying the filtering technique according to the physical state change of the device when recognizing fixed markers in mobile AR environment.

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