• 한국컴퓨터정보학회논문지
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• 제16권3호
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• pp.167-174
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• 2011

본 논문에서는 스마트폰 기반의 사용자 이동 상태 판별 알고리즘에 대해 제안한다. 제안된 알고리즘은 스마트 폰의 자체 내장된 방향 센서와 GPS센서의 데이터 정보를 기반으로 하여 현재 사용자의 이동 수단 및 위치를 판단한다. GPS 센서를 이용해 위치와 이동속도를 계산하여 이동수단을 판별하고, 방향 센서의 데이터를 분석하여 세부적인 이동형태를 판별한다. 본 논문에서는 스마트폰의 두 가지 응용 센서를 이용하여 사용자 이동상태 판별 알고리즘을 구현하고 테스트를 수행하였다. 실험 내용은 GPS를 통해 받은 데이터를 이용하여 이동속도를 계산하고 방향 센서의 변화 폭을 측정 이동형태를 판별할 수 있는 속도와 방향센서의 임계 값를 실험 데이터를 바탕으로 정의하였다. 실험결과 본 논문에서 제안하는 사용자 이동상태 판별 알고리즘을 이용하여 사용자의 이동 상태를 판별 할 수 있었다.

• 전기학회논문지
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• 제60권10호
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• pp.1915-1923
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• 2011

For automated guidance control of a magnetically guided-all wheel steered vehicle, it is necessary to have information about position and orientation of the vehicle, and deviations from the reference path in real time. The magnet reference system considered here consists of three magnetic sensors mounted on the vehicle and magnetic markers, which are non-equidistantly buried in the road. This paper presents an observer to estimate such position and orientation at the center of gravity of the vehicle. This algorithm is based on the simple kinematic model of vehicle and uses the data of wheel velocity, steering angle, and the discrete measurements of marker positions. Since this algorithm requires the exact values of initial states, we have also proposed an algorithm of determining the initial position and orientation from the 16 successive magnet pole data, which are given by the magnetic measurement system(MMS). The proposed algorithm is capable of continuing to estimate for the case that the magnetic sensor fail to measure up to three successive magnets. It is shown through experimental data that the proposed algorithm works well within permissible error range.

• 대한전자공학회논문지SP
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• 제42권6호
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• pp.89-98
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• 2005

본 논문에서는 모바일 카메라를 이용한 지문인식 시스템 개발에서 지문영역 추출 및 융선 방향 정보 추출 방법에 대해 제안한다. 모바일 카메라로 획득한 지문영상은 기존의 지문센서(접촉식 센서)로 획득한 영상과 여러 가지 다른 특성을 나타낸다. 우선 모바일 카메라로 획득한 지문영상은 칼라영상이며, 배경영역이 획득 장소와 시간에 따라 변화가 심하고, 지문 융선과 골의 조도차가 접촉식 센서에서 획득한 영상보다 작아 노이즈에 대한 영향이 크다는 특징이 있다. 이러한 환경에서 지문영역을 추출하고자 손가락의 색 정보와 지문의 주파수 정보를 이용하여 초기영역을 설정하고 설정된 초기영역을 이용하여 영역확장 방법으로 지문영역을 추출하였다. 손가락의 색 정보는 학습과정을 통해 손가락 색의 확률 분포를 LUT (Look Up Table)기법을 이용해 모델하였고, 주파수 정보는 초점이 맞는 손가락 영역과 초점이 맞지 않는 배경영역의 영상 주파수 특성 차이를 이용하였다. 지문 방향 정보 추출에서는 카메라로부터 발생하는 노이즈나 극단치 (outlier)의 영향을 줄이기 위해 그래디언트 필드에서 초기 방향을 기준으로 노이즈와 극단치를 제거한 후 방향을 구하는 방법을 사용하였다. 실험에서는 모바일 카메라를 이용하여 획득한 지문영상으로 지문영역 추출 및 융선방향 정보 추출에 대한 평가를 했다. 지문영역 추출 알고리즘 평가를 위해 600장의 수동 구분된 지문영상을 사용하였고 융선방향 정보 추출은 지문 인식성능으로 비교 평가 하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1677-1680
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• 1991

Machining is a bottleneck in robot application technologies because of uncertainty of position/form, poor reliability of robot function and low reaction speed of robot to changes of surroundings, But in grinding automation with relatively low machining speed it is feasible to integrate of sensor signal in machining. In this paper strategy for robotic grinding with F/T sensor will be presented and with that the experimental results will be discussed. F/T sensor signal in grinding of strategy weld seam are transferred to PC, which plays a role as cell computer and transform F/T data to robot position and/or orientation, speed correction data according to programmed algorithm. The possibility and boundary of robotic grinding with F/T sensor intergration is discussed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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• pp.566-569
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• 1993

This paper presents the design and implementation of an industrial controller for an autonomous guided vehicle(AGV) with economic sensor. A guidance scheme provides accurate tracking and achieves faster minimizing oftracking error. A sensor at the center provides the position and orientation of the vehicle relative to the track. Control laws that make use of this information have been devised to achieve accurate and fast tracking. The gains are modified on-line to achieve proper tracking. The simulation and implementation results are provided for the illustration of the implemented controller.

• Journal of Power Electronics
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• 제10권3호
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• pp.300-305
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• 2010

This paper presents a two Hall sensor method for rotor angle detection in permanent magnet synchronous motors (PMSM). To minimize the implementation complexity, the system is designed to measure the edge field of permanent magnet pieces. However, there are nonlinearities in the measured values of the edge field. In this work, an angle correction algorithm is proposed, and the improvements in accuracy are verified through experiments. Finally, a field orientation controller is constructed with the proposed angle detection algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.116.5-116
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• 2001

When inertial navigation system(INS) employ more sensors that mutually orthogonal sets to three, the redundant sensor system can have improved reliability and accuracy. For the redundant system the placement of redundant sensors is related to the system performance and also the number and proper orientation of sensors are important. We consider INS sensor configurations using two IMUs comprised mutually orthogonal sets of three. We suggest several configurations using two IMUs and analyze the system performance and the FDI(fault detection and isolation) properties from suggested configurations.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 추계학술대회논문집
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• pp.219-224
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• 1996

By integrating the wired-glove and the position sensor using the magnetic fields, we developed the system which could measure the functional dimension of the hand and arm of the human. Magnetic position sensor traces the position and orientation of the arm while the wired-glove measures 18 phalangeal joint angles(including abduction between fingers, pitch and yaw of the wiist). The system could be used to monitor and quantify the functional dimension of the hand and arm and also could be used to test the product usability where the hand motion is important. Another important application lies in determining the degree of paralysis.

• Journal of Multimedia Information System
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• 제2권2호
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• pp.233-240
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• 2015

Mobile devices are becoming increasingly sophisticated and the latest generation of smartphones now incorporates many diverse and powerful sensors. These sensors include acceleration sensor, magnetic field sensor, light sensor, proximity sensor, gyroscope sensor, pressure sensor, rotation vector sensor, gravity sensor and orientation sensor. The availability of these sensors in mass-marketed communication devices creates exciting new opportunities for data mining and data mining applications. In this paper, we describe and evaluate a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity that a user is performing. To implement our system, we collected labeled accelerometer data from 10 users as they performed daily activities such as "phone detached", "idle", "walking", "running", and "jumping", and then aggregated this time series data into examples that summarize the user activity 5-minute intervals. We then used the resulting training data to induce a predictive model for activity recognition. This work is significant because the activity recognition model permits us to gain useful knowledge about the habits of millions of users-just by having them carry cell phones in their pockets.

• International Journal of Aeronautical and Space Sciences
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• 제7권1호
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• pp.106-117
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• 2006

The active vibration control of composite shell structure has been performed with the optimized sensor/actuator system. For the design of sensor/actuator system, a method based on finite element technique is developed. The nine-node Mindlin shell element has been used for modeling the integrated system of laminated composite shell with PVDF sensor/actuator. The distributed selective modal sensor/actuator system is established to prevent the effect of spillover. Electrode patterns and lamination angles of sensor/actuator are optimized using genetic algorithm. Continuous electrode patterns are discretized according to finite element mesh, and orientation angle is encoded into discrete values using binary string. Sensor is designed to minimize the observation spillover, and actuator is designed to minimize the system energy of the control modes under a given initial condition. Modal sensor/actuator for the first and the second mode vibration control of singly curved cantilevered composite shell structure are designed with the method developed on the finite element method and optimization. For verification, the experimental test of the active vibration control is performed for the composite shell structure. Discrete LQG method is used as a control law.