• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.9
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• pp.1688-1693
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• 2007

The aim of this paper is to develop and verify the system which can detect heart rate during exercise by using conductive fabric electrode and transportable measurement module. The experiment was performed under 4 conditions(resting, walking, jogging, running) and 18 subjects data are used. By using the ECG measurement system used in cardiac stress testing as reference value in order to verify the accuracy of the developed system, the relative error and correlation coefficient was calculated for each subject at every 3 seconds. The results have shown that the high correlation between the developed system and the reference system for detecting heart rate during exercise. Relative error and correlation coefficient are 2.27% and 0.9877, respectively. 7 subjects data are omitted in these calculations because of severe noises. Therefore, it is expected that this system could be used as a health monitoring system in ubiquitous environment in the future.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.9A
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• pp.1465-1474
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• 2001

본 논문에서는 BER(Bit Error Rate)과 패킷 길이에 따라 블루투스의 다양한 ACL(Asynchronous Connection Less) 패킷 종류들의 성능을 분석하였고 주어진 BER에서 적합한 패킷의 최적 종류와 길이를 제안하였다. ACL 패킷 중 DM(Data Medium Rate) 형은 1/3FEC과 2/3FEC과 ARQ 방식을 사용하지만 DH(Data High rate) 형은 2/3FEC과 ARQ만을 사용한다. 이러한 특징은 잡음이 존재하는 무선 링크 상에서 메시지의 평균 전송 시간과 처리율과 같은 성능 지표에 영향을 준다. 이러한 ACL 패킷의 PER(Packet Error Rate)을 무선 링크의 BER과 패킷 유료부하 길이의 항으로 제시하고 PER과 이에 따른 ARQ 방법에서의 재전송 회수를 고려하여 메시지의 평균 전송시간 및 전송 효율을 구하는 방법을 제시하였다. 본 논문에서는 이를 이용하여 주어진 BER에서 성능 지표를 최대화하는 ACL 패킷의 최적 종류와 최적 길이를 제시하였다. 이를 기초로 전송 효율을 최대화하는 최적 패킷의 종류와 길이가 평균 전송 시간을 최소화하는 패킷의 종류와 길이는 다르다는 것을 보였다.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.305-329
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• 2003

This work analyzes the influence of the dollar and yen currency on the rate of return of the individual firms and its symmetries based on the data from Jan. 5 1987 to Dec. 28, 2001. GARCH and autoregressive error models were used for on the daily data, due to the heteroscedascity and autoregression of the error terms, and as for the monthly data, this paper follows the autoregressive error models. Daily data fumed out to be a better explanatory variable in detecting exchange rate exposure, and EGARCH(1, 1) and GJR-GRARCH(1, 1) have higher competence in analyzing the daily data. Also, most of the exposed firms have been exposed in the negative region, and appreciation of exchange rate does not help enhancing the asset value of the domestic value. Analysis on the asymmetries let us conclude that high proportion of domestic firms face asymmetric exchange rate exposure, and that the pricing-to-market theory carries more conviction than the real option theory. Furthermore, monthly data are more precise in analysis of asymmetries.

• Journal of Positioning, Navigation, and Timing
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• v.11 no.4
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• pp.297-304
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• 2022

The models used for ionosphere error correction in positioning using Global Navigation Satellite System (GNSS) are representatively Klobuchar model and NeQuick model. Although these models can correct the ionosphere error in real time, the disadvantage is that the accuracy is only 50-60%. In this study, a method for polynomial modeling of Global Ionosphere Map (GIM) which provides Vertical Total Electron Content (VTEC) in grid type was studied. In consideration of Ionosphere Pierce Points (IPP) of satellites with a receivable elevation angle of 15 degrees or higher on the Korean Peninsula, the target area for model generation and provision was selected, and the VTEC at 88 GIM grid points was modeled as a polynomial. The developed VTEC polynomial model shows a data reduction rate of 72.7% compared to GIM regardless of the number of visible satellites, and a data reduction rate of more than 90% compared to the Slant Total Electron Content (STEC) polynomial model when there are more than 10 visible satellites. This VTEC polynomial model has a maximum absolute error of 2.4 Total Electron Content Unit (TECU) and a maximum relative error of 9.9% with the actual GIM. Therefore, it is expected that the amount of data can be drastically reduced by providing the predicted GIM or real-time grid type VTEC model as the parameters of the polynomial model.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.1124-1131
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• 2014

The chirp spread spectrum (CSS) technique that transmits data signal by using a chirp signal is often used for maritime wireless communication systems such as sound detection radar systems for submarines. However, maritime multipath environment could reduce the data rate of the CSS system. To tackle the problem, an overlap-based CSS transmission scheme is proposed and analyzed in this paper: Based on the approximated Gaussian Q function, we derive a closed form expression of the bit error rate (BER) of the proposed overlap-based CSS system and investigate the mathematical relationship between the number of overlaps and the intersymbol interference (ISI).

• Journal of Advanced Navigation Technology
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• v.8 no.1
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• pp.1-9
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• 2004

In this paper, we have studied the reliable scheme for transmission of digital watermarking-inserted image data through wireless channel. Multimedia data and watermarking data are degraded because of the high BER (Bit Error Rate) and the effect of fading in wireless channel. We adapt the error correction scheme for mitigating the degradation in watermarking data. We have evaluated the error performance of watermarking data modulated by OFDM/16QAM and sent through Rician fading channel. The simulation results show that when error correcting scheme is used the watermarking data can be detected without severe error even though watermarking-inserted image data is suffered from severe damage.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.425-430
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• 2015

This paper is a study to improve the classification efficiency of rotating objects by using deep neural networks to which a deep learning algorithm was applied. For the classification experiment of rotating objects, COIL-20 is used as data and total 3 types of classifiers are compared and analyzed. 3 types of classifiers used in the study include PCA classifier to derive a feature value while reducing the dimension of data by using Principal Component Analysis and classify by using euclidean distance, MLP classifier of the way of reducing the error energy by using error back-propagation algorithm and finally, deep learning applied DBN classifier of the way of increasing the probability of observing learning data through pre-training and reducing the error energy through fine-tuning. In order to identify the structure-specific error rate of the deep neural networks, the experiment is carried out while changing the number of hidden layers and number of hidden neurons. The classifier using DBN showed the lowest error rate. Its structure of deep neural networks with 2 hidden layers showed a high recognition rate by moving parameters to a location helpful for recognition.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.123-126
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• 2011

As the number of users of smart phone and smart pad are increasing, the deployment of WiFi APs has been accelerated. Also Internet local broadcasting service will be activated near future. But transmission error is the critical problem, due to the one-way transmission of the data to the receivers. In this paper, FER is analysed according to BER and frame length, and repetitive transmission technique is proposed to reduce the effective FER.

• Korean Journal of Optics and Photonics
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• v.14 no.2
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• pp.150-154
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• 2003

In this paper, we introduce modified parity coding methods to reduce the errors caused by spatial beam intensity variations in a holographic data storage system. We explained the encoding and decoding process of the conventional parity coding and the modified parity coding techniques. We compared the bit-error-rate (BER) performances of the conventional parity coding and the modified parity coding techniques from experimental evaluation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3642-3646
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• 2012

In this paper, the bandwidth of the filters used in optical communication systems and systems for the correlation between the error probability has been studied. Preamplifier that occurs in the system error probability as a function of the sensitivity of the receiver on the receiver sensitivity was shown for the various error probability calculation is performed. In addition, the channel data rate on the probability of various errors, changes in the function of the optimal bandwidth for the receiver filter was calculated, as required to operate at optimal range of the filter bandwidth, data rate per channel in a 10Gb/s the range of when is between 0.2 and 3.5nm.