• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.6
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• pp.1120-1125
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• 2010

In the speech system, for example hearing aid as well as speech communication, speech quality is degraded by environmental noise. In this study, to enhance the speech quality which is degraded by environmental speech, we proposed an algorithm to reduce the noise and reinforce the speech. The minima controlled recursive averaging (MCRA) algorithm is used to estimate the noise spectrum and spectral weighting factor is used to reduce the noise. And partial masking effect which is one of the human hearing properties is introduced to reinforce the speech. Then we compared the waveform, spectrogram, Perceptual Evaluation of Speech Quality (PESQ) and segmental Signal to Noise Ratio (segSNR) between original speech, noisy speech, noise reduced speech and enhanced speech by proposed method. As a result, enhanced speech by proposed method is reinforced in high frequency which is degraded by noise, and PESQ, segSNR is enhanced. It means that the speech quality is enhanced.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.116-117
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• 2015

최근 국내외에서 자연재난 뿐 아니라 사회재난으로 인한 피해가 크게 증가하고 있다. 이를 극복하기 위해서는 기존보다 더욱 진보된 재난방송 시스템이 필요하다. 하지만 현재 일본의 One-Seg 기반 재난방송 기술은 자동인지 기법이 포함되어 있지만 국내의 T-DMB(Terrestrial-Digital Broadcasting) 기반 재난방송 기술은 자동인지 기법이 포함되어 있지 않다. 이에 본 논문은 One-Seg 기반의 자동인지 기법뿐만 아니라 국내에서 연구되고 있는 T-DMB 기반의 자동인지 기법을 소개 하며 이에 대한 성과를 기술한다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.6
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• pp.124-130
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• 1989

For the higher density DRAM'S, innovations in fabrication process and circuit design which have led to dramatic density improvement are discussed from the desinger's perspective. A new dynamic RAM cell called Trench Epitaxial Transistor Cell(TETC) using trench technics and SEG have been developed for use in future megabit DRAMS. Storge electrode with $n^+$-polysilicon and $n^+$-source electrode are self-contacted in TETC. With keeping the storage capacitance large enough to prevent soft errors, the cell size reduced to 30% compare with existing BSE cell by utilizing the vertical capacitor made along the isolation region.

• Annual Conference of KIPS
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• 2019.10a
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• pp.106-109
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• 2019

비트코인은 분산시스템으로 많은 노드를 가질수록 가용성 및 안정성이 유지된다. 이를 위해서는 블록 크기가 작고 많은 트랜잭션을 처리할 수 있는 구조를 가지는 것이 유리하다. 비트코인의 트랜잭션이 많아지면서 2017 년 8 월 24 일 세그윗(SegWit) 이후에 블록사이즈는 1MB 에서 2MB 로 변경되었고, 2019 년 9 월 현재 블록당 사이즈는 1MB 이상이 사용되고 있다. 이러한 추세라면 가까운 시일 내에 최대 블록사이즈에 근접하게 될 것이다. 본 논문에서는 세그윗 적용에 따른 비트코인의 변화를 조사하여 세그윗을 적용하지 않은 레거시(Legacy) 노드와의 차이점과 소프트포크(Softfork)로 알려진 호환성(Backward Compatibility)을 살펴보고, 세그윗을 통해 가단성(Malleability) 버그가 해결과 블록 사이즈 증가를 통해 TPS(Transaction Per Second)가 향상되는 것을 확인하고자 한다.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.6
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• pp.313-319
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• 2018

We propose a post-processing algorithm to improve the quality of the RGB image generated by deep learning based colorization from the gray-scale image of an infrared camera. Wavelet fusion is used to generate a new luminance component of the RGB image luminance component from the deep learning model and the luminance component of the infrared camera. PSNR is increased for all experimental images by applying the proposed algorithm to RGB images generated by two deep learning models of SegNet and DCGAN. For the SegNet model, the average PSNR is improved by 1.3906dB at level 1 of the Haar wavelet method. For the DCGAN model, PSNR is improved 0.0759dB on the average at level 5 of the Daubechies wavelet method. It is also confirmed that the edge components are emphasized by the post-processing and the visibility is improved.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.25-28
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• 2020

Automatic segmentation of brain tissues such as WM, GM, and CSF from brain MRI scans is helpful for the diagnosis of many neurological disorders. Accurate segmentation of these brain structures is a very challenging task due to low tissue contrast, bias filed, and partial volume effects. With the aim to improve brain MRI segmentation accuracy, we propose an end-to-end convolutional based U-SegNet architecture designed with multi-scale kernels, which includes cascaded dilated convolutions for the task of brain MRI segmentation. The multi-scale convolution kernels are designed to extract abundant semantic features and capture context information at different scales. Further, the cascaded dilated convolution scheme helps to alleviate the vanishing gradient problem in the proposed model. Experimental outcomes indicate that the proposed architecture is superior to the traditional deep-learning methods such as Segnet, U-net, and U-Segnet and achieves high performance with an average DSC of 93% and 86% of JI value for brain MRI segmentation.

• Annual Conference of KIPS
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• 2024.10a
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• pp.563-564
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• 2024

본 연구는 YOLOv9의 세그멘테이션 전용 모델인 YOLOv9c-seg을 교육용 임베디드 시스템인 라즈베리 파이 5와 Google Coral Edge TPU 환경에서 실시간 객체 분할 성능을 평가하였다. YOLOv9-seg모델을 커스텀 데이터셋(Customized Dataset)으로 파인튜닝(Full Fine Tuning)하여 TF Edge TPU 포맷으로 변환하여 추론 속도와 메모리 사용량을 크게 개선하였다. 실험 결과, 변환된 모델은 PT(Pytorch)형식의 기존 모델과 유사한 성능을 유지하면서도 평균 추론 시간이 80.14ms 단축되고, FPS가 21.12프레임 증가하여 실시간 성능이 향상되었다. 이는 Edge TPU가 정수 양자화된 모델에 최적화되어 처리 속도와 효율성을 극대화할 수 있음을 보여준다. 본 연구는 엣지 컴퓨팅(Edge Computing) 환경에서 실시간 객체 분할의 가능성을 제시하였다.

• Review of Korea Contents Association
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• v.14 no.1
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• pp.21-24
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• 2016

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.139-146
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• 2017

The ISDB-T(Integrated Service Digital Broadcasting Terrestrial) can be used in the multipath and impulsive noise, also it provide good performance over mobile reception environment since it use the OFDM(Orthogonal Frequency Division Multiplexing) based transmission technology and time interleaving technology. One segment and full segment are divided according to the number of the assigned segment. And one-segment broadcasting receiver can design and implement without high levels of technology than the full-segment broadcasting receiver using 64QAM(64 Quadrature Amplitude Modulation) since it uses QPSK(Quadrature Phase Shift Keying) modulation/demodulation. However, it has a constraint in the display size and resolution due to data-rate limits. In this paper, we design and implementation of full-segment ISDB-T receiver module which support HD resolution for set-top box, digital TV, navigation. In experimental results, the implemented full-segment ISDB-T receiver module was satisfactory for all of the desired functions.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.51 no.3
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• pp.134-140
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• 2002

Deep submicron NMOSFETs with elevated source/drain can be fabricated using self-aligned selective epitaxial growth(SEG) of silicon for enhanced device characteristics with shallow junction compared to conventional MOSFETs. Shallow junctions, especially with the heartily-doped S/D residing in the elevated layer, give hotter immunity to Yt roll off, drain-induced-barrier-lowering (DIBL), subthreshold swing (SS), punch-through, and hot carrier effects. In this paper, the characteristics of both deep submicron elevated source/drain NMOSFETs and conventional NMOSFETs were investigated by using TSUPREM-4 and MEDICI simulators, and then the results were compared. It was observed from the simulation results that deep submicron elevated S/D NMOSFETs having shallower junction depth resulted in reduced short channel effects, such as DIBL, SS, and hot carrier effects than conventional NMOSFETs. The saturation current, Idsat, of the elevated S/D NMOSFETs was higher than conventional NMOSFETs with identical device dimensions due to smaller sheet resistance in source/drain regions. However, the gate-to-drain capacitance increased in the elevated S/D MOSFETs compared with the conventional NMOSFETs because of increasing overlap area. Therefore, it is concluded that elevated S/D MOSFETs may result in better device characteristics including current drivability than conventional NMOSFETs, but there exists trade-off between device characteristics and fate-to-drain capacitance.