• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.871-874
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• 2016

본 논문은 실내 환경에서 스마트 워치(smart watch)를 이용하여 사용자의 원시 데이터를 수집, 가공하고, 이를 통해 사용자의 다양한 복합 동작을 인식하는 방법을 제안한다. 사용자의 동작을 인식하는 방법들은 다양하다. 특히 최근 웨어러블 기기(wearable device)들이 각광받으면서 웨어러블 기기를 이용하여 인체 동작이나 활동 상태 등의 생체신호를 인식하려는 다양한 시도가 일어나고 있다. 하지만 동작이나 활동 상태에 관한 많은 연구들이 센서를 허리에 부착하는 등의 특정한 상황만을 상정하거나 위성항법장치(GPS, global positioning system)에 의존한 실외 환경에 국한되어 있는데, 이는 대부분의 시간을 가정과 직장, 이동 수단 등의 실내 환경에서 소비하는 현대인들의 시간 소비 패턴과는 거리가 있다. 본 연구에서는 스마트 워치의 가속도계(accelerometer), 각속도계(gyroscope), 심박계(heart bit), 압력계(barometer) 등 다양한 센서를 통해 원시데이터를 수집, 가공하여 사용자의 앉기, 서기, 오르막이나 내리막의 걷고 뛰기, 계단의 오르내리기 등 실내에서 일어날 수 있는 복합 동작을 인식하는 방법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1763-1766
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• 2010

본 논문에서는 사용자들의 생체 신호를 수집하여 해당 데이터를 서버에 저장하고 이를 모니터링 할 수 있는 시스템을 구현 하였다. 기존에는 모니터링을 위해 별도로 측정된 결과를 분석하고 확인할 수 있도록 하는 고정된 장치가 필요했다. 하지만 본 논문에서는 사용자가 무선 센서를 소지하고 있으므로 각각의 데이터를 실시간으로 측정하며 사용자는 일상생활에 지장 없이 활동이 가능하다. 측정된 정보는 웹에서 연람할 수 있도록 하여 별도의 장치가 필요하지 않다. 기존의 방식보다 간편한 모니터링 시스템을 구축하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3C
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• pp.69-76
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• 2005

In this paper, we propose a biorthogonal modulation employing a constant-amplitude transmission of multi-code signals by introducing a simple constant-amplitude coding scheme with redundant bits. The proposed constant-amplitude biorthogonal multi-code (CABM) modulation can provide high spectral efficiency compared with a conventional direct sequence/spread spectrum (DS/SS) modulation. Nevertheless the proposed CABM modulation can keep up a constant-amplitude signal. Additionally, we propose various types of demodulation structures for the CABM modulation. Simulation results show that bit error rate (BER) performance and hardware complexity of the proposed CABM modulation are highly improved in comparison with those of a constant-amplitude orthogonal multi-code (CAOM) modulation.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.4
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• pp.381-387
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• 2002

In this paper, an efficient method to find shot boundaries in the MPEG video stream data is proposed. For this purpose, we first assume that the histogram difference value(HDV) and pixel difference value(PDV) as an one dimensional signal and apply the median filter to these signals. The output of the median filter is subtracted from the original signal to produce the median filtered difference(MFD). The MFD is a criterion of shot boundary. In addition a neural network is employed and trained to find exactly cut boundary. The proposed algorithm shows that the cut boundaries are well extracted, especially in a dynamic video.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.51-53
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• 2015

In this paper, we propose a new relay selection technique which utilizes interference cancellation with decoding information at multiple relays for buffer-aided successive relaying systems. The transmitting relay is selected if its own transmission to the destination is successful and the number of relays which can successfully decode the data from the source is the maximum at the same time. Simulation results show that the proposed relay selection technique significantly outperforms the conventional relay selection scheme in terms of outage probability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.357-360
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• 2008

Vital sign monitoring system using IEEE 502.IS.4 based wireless sensor network(WSN) is designed and developed on mobile environment and sensor node platform. WSN and CDMA are integrated to create a wide coverage to support various environments like inside and outside. We developed query processor to use selective any devices(ECG, Blood pressure and sugar module) and control of the self-organizing network of sensor nodes in a wireless sensor network. Vital sign from wireless medical any devices are analysed in cell phone first for real time signal analyses and the abnormal vital signs are sent and save to hospital server for detail signal processing. wireless signal traffic in wireless sensor network environment or data communication inside the cell phone is reduced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8516-8524
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• 2015

Track irregularities can be evaluated not only directly by track inspection but also indirectly by measurement of carbody accelerations and many researches are being conducted. Carbody accelerations were measured on the Kyeongbu high speed railway and France high speed line to investigate the situation of the track maintenance at Korea high speed line by using indirect method. Digital signal processing for the measured acceleration data were conducted according to UIC518 code. Since the vehicle speed affects the car body acceleration, the lateral and vertical acceleration of the car body were classified according to the vehicle speed and the distribution characteristics of these acceleration were investigated and evaluated by UIC518 criteria. Finally, the running behavior of KTX on Korea high speed railway were compared with that on France. Distribution characteristics of these acceleration were evaluated and discussed in terms of the track maintenance in Korea high speed line.

• The Journal of the Acoustical Society of Korea
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• v.14 no.3
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• pp.71-81
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• 1995

In this paper, feature vector extraction methods and classification algorithms for the automatic classification of transient signals in underwater are discussed. A feature vector extraction method using wavelet transform, which shows good performance with small number of coefficients, is proposed and compared with the existing classical methods. For the automatic classification, artificial neural networks such as multilayer perceptron (MLP), radial basis function (RBF), and MLP-Class are utilized, where those neural networks as well as extracted feature vectors are combined to improve the performance and reliability of the proposed algorithm. It is confirmed by computer simulation with Traco's standard transient data set I and simulated data that the proposed feature vector extraction method and classification algorithm perform well, assuming that the energy of a given transient signal is sufficiently larger than that of a ambient noise, that there are the finite number of noise sources, and that there does not exist noise sources more than two simultaneously.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.37-39
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• 2015

In this paper, we propose a distributed user scheduling with interference-aware power control (IAPC) to maximize signal to generating interference plus noise ratio (SGINR) in multi-cell uplink network. Assuming that the channel reciprocity time-division duplexing (TDD) system is used, the interference channel from users to other cell BSs is obtained at each user. In the proposed scheduling, each user reduces the transmit power if its generating interference to other BSs is larger than a predetermined threshold. Each BS selects the user with the largest SGINR among users. Simulation results show that the proposed technique significantly outperform the existing user scheduling algorithms.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.87-90
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• 2009

본 연구는 HMD(Head Mounted Display), 적외선 카메라, 웹 카메라, 데이터 글러브, 그리고 생리신호 측정 센서를 이용한 증강현실 게임 플랫폼 설계를 목적으로 하고 있다. HMD 는 사용자의 머리의 움직임을 파악하고, 사용자에게 가상 물체를 디스플레이화면에 제공한다. 적외선 카메라는 HMD 하단에 부착하여 사용자의 시선을 추적한다. 웹 카메라는 HMD 상단에 부착하여 전방 영상을 취득 후, 현실영상을 HMD 디스플레이를 통하여 사용자에게 제공한다. 데이터 글러브는 사용자의 손동작을 파악한다. 자율신경계반응은 GSR(Galvanic Skin Response), PPG(PhotoPlethysmoGraphy), 그리고 SKT(SKin Temperature) 센서로 측정한다. 측정된 피부전기반응, 맥파, 그리고 피부온도는 실시간 데이터분석을 통하여 집중 정도를 파악하게 된다. 사용자의 머리 움직임, 시선, 그리고 손동작은 직관적 인터랙션에 사용되고, 집중 정도는 직관적 인터랙션과 결합하여 사용자의 의도파악에 사용된다. 따라서, 본 연구는 멀티모달 인터랙션을 이용하여 직관적 인터랙션 구현과 집중력 분석을 통하여 사용자의 의도를 파악할 수 있는 새로운 증강현실 게임 플랫폼을 설계하였다.