• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.65-70
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• 2007

유비쿼터스 센서 네트워크 관련 기술이 급속히 발전하고 센서가 여러 분야에서 활용됨에 따라 센싱되는 데이타를 효율적으로 관리하기 위한 연구가 활발히 진행되고 있다. 일반적으로 유비쿼터스 센서 네트워크에서 센싱되는 데이타는 계통적 오차와 측정 방법의 부적합 등으로 인한 불확실성을 가지며, 또한 센싱하는 환경 및 제약으로 인해 데이터가 유사하거나 반복되는 제한성을 가진다. 그러나 기존의 연구들은 센싱되는 데이타의 이러한 특성을 고려하지 못함으로 인해 검색이 비효율적이다. 따라서, 본 논문에서는 불확실한 데이타를 고려한 기존의 인덱스를 확장하여 유비쿼터스 센서 네트워크에서 센싱되는 데이타 중 제한성을 가지는 데이타를 그룹화함으로써 효율적인 검색을 지원하는 그룹화 기법을 제시한다. 본 논문은 센싱된 데이타를 그룹화하는 기법으로써 처음에 그룹으로 설정된 영역을 이용해 그룹화하는 최초 그룹화 기법, 한 그룹 내에 최대한 많은 데이타를 그룹화하는 최적 그룹화 기법, 센싱된 데이타를 최대한 근접하게 그룹화하는 최근접 그룹화 기법을 제시한다. 마지막으로, 성능 평가를 통해 본 논문에서 제시한 그룹화 기법을 이용한 인덱스에 대한 검색 성능의 우수성을 입증한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.1165-1168
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• 2007

센서노드들이 배치되었을 때 초기 보안 요구사항은 이웃 노드 사이의 보안키를 안전하고 효율적으로 설정하는 것이다. 이를 위해 본 논문에서는 클러스터 단위로 직접키를 공유함으로써 공유하는 센서 수를 줄임과 동시에 다항식이 노출 되어도 전체 센서 네트워크에 끼치는 영향을 최소화하여 안전성을 보장하게하고 컴퓨팅 오버헤드를 줄일 수 있게 하였다. 또한 가용성 보장을 위해 불필요한 키관리 동작을 지양하고 센서 노드의 에너지 소모를 감소시키기 위하여 근접 클러스터 헤더 노드와의 사전 키 분배를 통해 경로키를 설정하게 함으로써 센서노드간의 안전하고 효율적인 pairwise key 설정을 통해 안전한 통신이 가능하게 하였다.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.367-372
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• 2018

This paper proposed an algorithm that detects boundary nodes effectively in wireless sensor network. A boundary node is a sensor that lies on the border of network holes or the outer boundary of wireless sensor network. Proposed algorithm detects boundary nodes using only the position information of sensors. In addition, to improve detect performance, sensor computes the overlap area of nearest sensor first. Simulation is performed to validate the process of the proposed algorithm. In Simulation, several obstacles are placed and varying number of sensors in the range of 500~1500 are deployed in the area in order to reflect real world. The simulation results shows that proposed algorithm detects boundary nodes effectively that are located on the border of holes and the outer boundary of wireless sensor network.

• Journal of Advanced Navigation Technology
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• v.24 no.3
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• pp.192-197
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• 2020

Recently, the technologies related to autonomous drive has studying the goal for safe operation and prevent accidents of vehicles. There is radar and camera technologies has used to detect obstacles in these autonomous vehicle research. Now a day, the method for using LiDAR sensor has considering to detect nearby objects and accurately measure the separation distance in the autonomous navigation. It is calculates the distance by recognizing the time differences between the reflected beams and it allows precise distance measurements. But it also has the disadvantage that the recognition rate of object in the atmospheric environment can be reduced. In this paper, point cloud data by triangular functions and Line Regression model are used to implement measurement algorithm, that has improved detecting objects in real time and reduce the error of measuring separation distances based on improved reliability of raw data from LiDAR sensor. It has verified that the range of object detection errors can be improved by using the Python imaging library.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.4
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• pp.345-354
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• 2014

In this paper, we propose a real-time algorithm for estimating the relative position and velocity of a person with respect to a robot using a Kinect sensor and an extended Kalman filter (EKF). Additionally, we propose an algorithm for controlling the robot in the proximity of a person in a variety of modes. The algorithm detects the head and shoulder regions of the person using a histogram of oriented gradients (HOG) and a support vector machine (SVM). The EKF algorithm estimates the relative positions and velocities of the person with respect to the robot using data acquired by a Kinect sensor. We tested the various modes of proximity movement for a human in indoor situations. The accuracy of the algorithm was verified using a motion capture system.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.7
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• pp.901-906
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• 2007

Algorithms of path planning and obstacle avoidance are essential to autonomous mobile robots that are working in unknown environments in the real time. This paper presents a new navigation algorithm for an autonomous mobile robot with vision and IR sensors using fuzzy rules. Temporary targets are set up by distance variation method and then the algorithms of trajectory planning and obstacle avoidance are designed using fuzzy rules. In this approach, several digital image processing technique is employed to detect edge of obstacles and the distances between the mobile robot and the obstacles are measured. An autonomous mobile robot with single vision and IR sensors is built up for experiments. We also show that the autonomous mobile robot with the proposed algorithm is navigating very well in complex unknown environments.

• Korean Journal of Optics and Photonics
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• v.24 no.2
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• pp.86-91
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• 2013

In this study, we have investigated the correlation of far-field detection sensitivity of surface plasmon resonance (SPR) biosensors with optical signatures associated with the near-field overlap of biomolecules. The results confirm a direct relation between the far-field and near-field parameters, particularly for optical signatures defined in terms of lateral electric field components that are tangential to the interface and thus continuous across the interface. The overall correlation between near-field optical signatures and far-field resonance shift exceeded 97%. The results can be highly useful to evaluate detection sensitivity of SPR biosensors that take advantage of complex structures for localization of surface waves.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.8
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• pp.62-67
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• 2007

In some wireless sensor networks, the sensor nodes are required to be located sparsely at designated positions over a wide area, introducing the problem of adding minimum number of relay nodes to interconnect the sensor nodes. The problem finds its form in literature: the Minimum number of Steiner Points. Since it is known to be NP-hard, this paper proposes an approximation scheme to estimate the minimum number of relay nodes through the properties of the abstract from. Reducing the number of nodes in a sensor network, the amount of data exchange over the net will be far decreased.

• The KIPS Transactions:PartC
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• v.14C no.5
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• pp.389-394
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• 2007

Recently, a location-based threshold-endorsement(LTE) scheme is proposed to thwart bogus data injection attacks. The scheme exhibits much greater filtering power than earlier symmetric schemes and results in enhanced energy savings. In this paper, we show that LTE has fatal vulnerabilities. We also propose an improved scheme that mitigates the weakness and thereby achieves the original claims without lessening remarkable filtering power intended in LTE.

• Proceedings of the Optical Society of Korea Conference
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• 2004.02a
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• pp.230-231
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• 2004