• Journal of the Institute of Convergence Signal Processing
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• v.18 no.1
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• pp.25-30
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• 2017

Currently, most of the grain sorter uses CCD optic camera to find defective products. The aim of this paper is to use the CCD camera, and aim for improving the sorting power of the grain separator by using NIR(Near Infrared Radiation) sensor based on moisture content measurement algorithm. We intend to develop a system to develop an NFC imaging system in real time by developing an NIR imaging system and developing the grain sorter system that is considered to be defective in real time by checking the internal moisture content of the raw material in the real time.

• Convergence Security Journal
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• v.6 no.3
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• pp.79-86
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• 2006

This paper studies the sensitivity analysis of an infrared rays (IR) sensor (SHARP-GD2D12) with bluetooth communication. To evaluate the performance of the IR sensor-bluetooth module, the distance and angle data between the sensor and the fixed object are measured with an IR sensor and the measured data are transferred to PC via bluetooth within 100 meters. This experiment shows that the IR sensor-bluetooth system can be used to measure the distance and angle for a fixed object within 100 meters.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.941-944
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• 2007

본 연구에서는 센서 네트웍과 컴퓨터 비전 시스템을 이용한 모바일 센서 네트워크(Mobile Sensor Network) 의 응용에 관한 실험을 수행하였다. 주된 내용으로는 모바일 센서를 탑재한 차량을 이용한 로컬라이제이션(Localization) 과 팀원 인식(Team Identification) 등에 관련된 방법을 포함한다. 본 시스템은 시뮬레이션을 통하여 기획을 하였으며 자체 설계한 하드웨어와 내장형 소프트웨어를 탑재하여 주어진 기능을 수행하도록 하도록 하는 한편, 모바일 센서의 역할을 할 수 있도록 다양한 센서를 장착할 수 있도록 설계되었다. 또한 전자나침반을 이용한 방위각 측정능력, 초음파 센서를 이용한 근거리 장애물 회피 능력, 적외선 발광 다이오드(IR-LED)와 적외선 필터를 씌운 카메라를 이용한 동료의 위치 파악 능력등을 통하여 로컬라이제이션에 도움이 되도록 한다. 통신을 위하여 IEEE 802.11g 프로토콜에 기반을 둔 통신 능력을 가지며 차량간의 통신도 같은 프로토콜을 통하여 이루어지게 된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.1A
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• pp.67-73
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• 2008

Our research is aimed at developing an architectural frame-work of USN sensor network discovery service systems. The research is fo-cused on the four areas a survey of USN technology, development of a USN software model, development of the design space of the USN sensor network discovery service, and finally the architectural framework of the USN sensor network dicovery service. The survey of the USN technology is conducted on four technological visions that contain USN system technology, USN networking technology, and USN middleware along with the service platform, With respect to each technological division, domestic and worldwide leading research projects are primarily explored with their technical features and research projects are primarily explored with their technical features and research output To provide a means to analyze sensor network discovery services, we devel-oped the design space of the sensor network discovery services by exploring the scalability with respect to query scope, lookup performance, and resolution network.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.81-87
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• 2010

The coverage ability is one of essential techniques for the Robotic Vacuum Cleaner (RVC). Most of the RVCs rely on random or regular pattern movement to cover a target space due to the technical difficulties to implement localization and map and constraints of hardwares such as controller and sensors. In this paper, we consider two main issues which are low computational load and using sensors with very limited sensing capabilities. First, in our approach, computing procedures to build map and detect the RVC's position are minimized by simplifying data obtained from sensors. To reduce computational load, it needs simply presenting an environment with objects of various shapes. Another isuue mentioned above is regarded as one of the most important problems in our approach, because we consider that many RVCs use low-cost sensor systems such as an infrared sensor or ultrasonic sensor with limited capabilities in limited range, detection uncertainty, measurement noise, etc. Methods presented in this paper are able to apply to general RVCs equipped with these sensors. By both simulation and real experiment, we evaluate our method and verify that the proposed method guarantees a complete coverage.