• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.4
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• pp.163-168
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• 2010

In this paper, we propose novel two-way relaying scheme in which number of two users transmit the signal to number of two destination. The scheme is difference with conventional multi-hop two-way relay scheme in which number of two users exchange the each signal. In the conventional scheme, each user have to perform back-propagating self-interference method to remove the own signal from received signal. It occurred to increase the complexity for signal processing at the user. To overcome the problem, we apply the Pre-cancellation which can reduce the process of back-propagating self-interference to our proposal network Simulation result show that proposal scheme outperform the convention multi-hop two-way relay scheme. Also we analysis the trad-off between performance and complexity accordance with using Pre-cancellation method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.23-31
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• 2015

In this paper, we design a SSD(simultaneous single band duplex) system using RF cancellation and digital cancellation. And then, we analyze performance of the SSD system using pre-distorter with HPA non-linearity. Also, we analyze digital cancellation performance of the SSD system using pre-distorter with HPA non-linearity. Additionally, digital cancellation cancels residual self-interference. In linear conditions, digital cancellation can cancel self-interference of 40dB. Therefore, the SSD system has good BER performance because most of self-interference is canceled. But, in HPA non-linearity conditions, digital cancellation cancels residual self-interference of 25dB. In this conditions, self-interference is greater than desired signal. Therefore, bit informations of distant station can not be received. But, we confirm that if the proposed system uses pre-distorter then bit information of distant station can be received by HPA non-linearity compensation. Also, we confirm that even though the proposed system uses pre-distorter, if HPA non-linearity increases then digital cancellation performance is degraded by imperfect compensation of HPA non-linerity.

• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.50-60
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• 2017

Purposes: The purpose of this study was to identify the preferred types of the hospital reservation cancellation management to help reduce the reservation cancellations. Methodology: This study sampled 327 outpatients or their guardians who had reserved a university hospital and a general hospital located in the southwestern part of Seoul, and the responses from 300 of them were used for the final analysis. The subjects' preferences of reservation cancellation management types were analyzed in reference to their demographic variables. The timing and frequency of pre-notification preferred by the subjects were examined. A multidimensional scaling methods and correspondence analysis was used to identify preference for management methods of no-show and type of reservation guide. Findings: As a result, 77.3% of the respondents were perceived that the reservation cancellation was a habit. The most preferred method of managing the reservation cancellation would be refusal to refund the reservation deposit (61.7%), followed by payment for cancellation (16.0%), limit of future reservations (16.0%) and penalty (6.3%) in their order. 186 of the subjects (62.0%) preferred the texting for prevention of reservation cancellations, and 102 of the subjects (34.0%) preferred the phone calls. The preferred timing and frequency of the SMS were twice 3 days before, once a day before and three times 7 days before, while the preferred timing and frequency of phone call was once a day before. Practical Implications: The no-show rate can be improved by enhancing SMS pre-notification and by improving afterwards telephone counseling. For other factors, it needs to study on the service differentiation with the characteristics of each patient group.

• The Journal of Information Technology
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• v.10 no.3
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• pp.47-58
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• 2007

In this paper, we designed and manufactured the distortion-cancellation module which is able to compensate thermal-noise distortion by software. The distortion-cancellation algorithm not only bring forth system non-linear distortion by input level but also bring compensate component of distortion by thermal to get rid off distortion from now on. After TMS 320C6711 DSP to recognize our algorithm, we manufactured the module for every kinds of system. To evaluate efficiency of the distortion-cancellation module, we designed and manufactured communication system. By measured result, if system output power is -3dBm equally, 12dB of ACLR has improved in 1MHz away from a center frequency, and also gain has increased up to 0.5dB.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.29-33
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• 2022

In this paper, we propose the deep learning based pre interference cancellation scheme algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information by applying a deep learning model at the transmitter. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.4
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• pp.1-7
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• 2009

In this paper, the author presents the MIMO(Multi-Input Multi-Output) receiver algorithm with the capability of inter-cell or inter-sector interference cancellation over multi-antenna OFDM(Orthogonal Frequency Division Multiplexing) systems. As contrast with the previous research dealing with the filtering scheme at the time domain, the proposed algorithm is presented as the pre-filtering scheme which can be applicable to the frequency domain. Note that the proposed one can be implemented only by pilot symbols which are used in the channel estimation. In addition, it is analytically confirmed that the proposed scheme can be applied for either MIMO( C-SM(Collaborative-Spatial Multiplexing)) interference or SIMO(Single-Input Multi-Out) interference. The proposed receiver algorithm is verified by simulations over UL-PUSC SR off in IEEE 802.16e standard. From simulation results, it is confirmed that the proposed one can be applicable regardless of the kind of interference. Furthermore, it is verified that the performance is guaranteed even under Ole severe effect of interference and the improvement of system throughput is guaranteed.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.36.2-36.2
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• 2011

A cancelling magnetic feature (CMF) is believed to be a result of magnetic reconnection in the low atmosphere of the Sun. In this work, we investigate the physical properties of CMFs, focusing on the rates of flux cancellation in CMFs and the dynamics of chromospheric phenomena coupled with CMFs. First, we have determined the specific rates of flux cancellation using the magnetograms taken by the Solar Optical Telescope (SOT) aboard the Hinode satellite. The specific rates determined with the SOT turned out to be systematically higher than those based on the data taken by the Michelson Doppler Imager (MDI) aborad the SOHO. Second, we analyzed transient Ca II brightenings associated with small-scale CMFs using the SOT/Hinode. We found that in most Ca II brightenings related to CMFs, and the Ca II intensity peaks after magnetic flux cancellation proceeds. Moreover, brightenings tend to appear as pairs of bright points of similar size and similar brightness overlying magnetic bipoles. To further study the brightening and dynamics of chromospherie features associated with CMFs, we have analyzed Fast Imaging Solar Spectrograph (FISS) data. From this data the Doppler motion of chromospheric features above a CMF changed from redshift to blueshift. The duration of such dynamics is very short being less than 2 minutes. These results are unexpected one and can not be explained by any pre-existing pictures of CMFs.

• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.3
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• pp.347-353
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• 2017

We present a STT-MRAM read-circuit which mitigates the performance degradation caused by offsets from device mismatches. In the circuit, a single current source supplies read-current to both the data and the reference cells sequentially eliminating potential mismatches. Furthermore, an offset-free pre-amplification using a capacitor storing the mismatch information is employed to lessen the effect of the comparator offset. The proposed circuit was implemented using a 130-nm CMOS technology and Monte Carlo simulations of the circuit demonstrate its effectiveness in suppressing the effect of device mismatch.

• ETRI Journal
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• v.37 no.5
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• pp.906-916
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• 2015

High-speed I/O channels require adaptive techniques to optimize the settings for filter tap weights at decision feedback equalization (DFE) read channels to compensate for channel inter-symbol interference (ISI) and crosstalk from multiple adjacent channels. Both ISI and crosstalk tend to vary with channel length, process, and temperature variations. Individually optimizing parameters such as those just mentioned leads to suboptimal solutions. We propose a joint optimization technique for crosstalk cancellation (XTC) at DFE to compensate for both ISI and XTC in high-speed I/O channels. The technique is used to compensate for between 15.7 dB and 19.7 dB of channel loss combined with a variety of crosstalk strengths from $60mV_{p-p}$ to $180mV_{p-p}$ adaptively, where the transmit non-return-to-zero signal amplitude is a constant $500mV_{p-p}$.