• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.105-113
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• 2022

Purpose: The purpose of this study is to investigate the effect of non-invasive transcranial direct current stimulation (tDCS) on muscle activity, including 10 m WT, TUG, and BBS, in hemiplegic stroke patients. Methods: This study was conducted on 42 inpatients diagnosed with hemiplegia due to stroke at hospital B in Daejeon for more than 6 months. Walking training was conducted for six weeks, five times a week for 30 minutes, with a general walking group (14 people), tDCS walking group (14 people), and tDCS (sham) walking group (14 people). Results: As a result of the study, the change in the muscle activity before and after tDCS intervention was significantly increased in the tibialis anterior muscle in the CG group. In the EG group, the erector spine (lumbar), rectus femoris, and tibialis anterior muscles significantly increased. In the SEG group, significant increases were observed in the rectus femoris and tibialis anterior muscles. Significant differences were found in the rectus femoris and tibialis anterior muscles in the comparison between groups after intervention according to tDCS application. Also, 10 m WT, TUG, and BBS were significantly increased in the CG, EG, and SEG groups after intervention, and there were significant differences in 10 m WT, TUG, and BBS in comparison between groups after intervention according to tDCS application. Conclusion: As a result, tDCS is an effective in improving the walking ability of stroke patients, and in particular, it effectively increases the muscle activity of the rectus femoris and tibialis anterior muscles, which act directly on walking, and also improves the speed and stability of walking. It is considered being an effective method to increase the gait of stroke patients by combining it with the existing gait training.

• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.267-274
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• 2023

There is a problem that the size of the dataset is insufficient due to the limitation of the collection of the medical image public data, so there is a possibility that the existing studies are overfitted to the public dataset. In this paper, we compare the performance of eight (Unet, X-Net, HarDNet, SegNet, PSPNet, SwinUnet, 3D-ResU-Net, UNETR) medical image semantic segmentation models to revalidate the superiority of existing models. Anatomical Tracings of Lesions After Stroke (ATLAS) V1.2, a public dataset for stroke diagnosis, is used to compare the performance of the models and the performance of the models in ATLAS V2.0. Experimental results show that most models have similar performance in V1.2 and V2.0, but X-net and 3D-ResU-Net have higher performance in V1.2 datasets. These results can be interpreted that the models may be overfitted to V1.2.

• Convergence Security Journal
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• v.23 no.5
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• pp.125-133
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• 2023

This paper proposes an AI model that determines parking and non-parking zones based on return authentication photos to address parking issues that may arise in shared electric scooter systems. In this study, we used a pre-trained Segformer_b0 model on ADE20K and fine-tuned it on tactile blocks and electric scooters to extract segmentation maps of objects related to parking and non-parking areas. We also presented a method to perform binary classification of parking and non-parking zones using the Swin model. Finally, after labeling a total of 1,689 images and fine-tuning the SegFomer model, it achieved an mAP of 81.26%, recognizing electric scooters and tactile blocks. The classification model, trained on a total of 2,817 images, achieved an accuracy of 92.11% and an F1-Score of 91.50% for classifying parking and non-parking areas.

• The Journal of the Acoustical Society of Korea
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• v.25 no.7
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• pp.325-332
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• 2006

In this paper. we Propose the noise suppressor with the Perceptual model and wavelet packet transform. The objective is to enhance speech corrupted colored or non-stationary noise. If corrupted noise is colored. subband approach would be more efficient than whole band one. To avoid serious residual noise and speech distortion, we must adjust the Wavelet Coefficient Threshold (WCT). In this Paper. the subband is designed matching with the critical band and WCT is adapted noise masking threshold (NMT) and segmental signal to noise ratio (seg_SNR). Consequently. it has similar Performance with EVRC in PESQ-MOS. But it's better than wavelet packet transform using universal threshold about 0.289 in PESQ-MOS. The important thing is that it's more useful than EVRC in coded speech. In coded speech. PESQ-MOS is higher than EVRC about 0.23.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.59-62
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• 2000

화상회의 및 인터넷폰을 목적으로 개발된 G.723.1은 CELP계열 보코더와 같이 화자의 개성정보를 위해 피치를 전송하고 있다. 하지만 안정구간과 비 안정구간의 차이를 두지 않고 처리를 하기 때문에 비 안정구간, 특히 전이구간에서 정확한 피치검출이 이루어지지 않는 이유로 음질의 열하가 발생하게 된다. 따라서 본 논문에서는 한 프레임 구간에서 에너지의 기울기로 대략적인 피치이득을 구한 다음 안정구간일 때와 프레임 내의 에너지의 기울기가 문턱 값을 넘을 때에는 기존의 방법으로 피치를 구하고 그런지 않은 경우에는 에너지를 조정하여 피치를 다시 구하는 방법을 사용하였다. 실제 음성시료에 대해 기존의 방법과 제안한 방법을 비교하기 위해 SegSNR 과 MOS를 비교하였을 때 각각 1.302(dB)와 평균 0.045 MOS가 향상되었다.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.43-46
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• 2004

본 논문에서는 최근에 제안된 음성신호 개선을 위한 적응 웨이블릿 패킷 기반의 스펙트럼 차감법을 이용하여 다양한 측면에서의 성능평가 결과를 제시한다. 사용된 음성신호 개선 방식은 적응 웨이블릿 패킷의 불균등 주파수 해상도와 높은 에너지 집중도로 인해 발생하는 극대, 극소값의 영향을 피하기 위해 기하평균을 이용하는 스펙트럼 추정법을 사용하였다. 다양한 측면의 성능평가를 위해 주관적 평가 척도인 MOS 와 높은 상관도를 갖는 것으로 알려진 log likelihood ratio, log area ratio, segmental SNR, weighted spectral slope 등을 평가 척도로 사용하였다. Fourier 기저를 사용한 방식과의 비교에서 적응 웨이블릿 패킷 방식은 SegSNR 과 음성의 명료도를 비교적 잘 반영하는 weighted spectral slope 측면에서 우수한 성능을 보였다.

• Proceedings of the KIEE Conference
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• 2008.04b
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• pp.125-127
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• 2008

전기재해에 취약한 장소에서의 화재는 많은 재산상의 피해와 사망자가 발생할 수 있으므로 전기재해에 취약한 장소에서 전기로 인하여 발생할 수 있는 화재를 사전에 예방하고 감시할 수 있는 시스템 개발의 필요성이 있다. 따라서 전기재해에 취약한 장소에서 전기설비를 감시할 수 있는 시스템을 개발하기 위해서는 전기재해 취약장소의 실태조사가 뒤따라야 하므로 전기재해 취약장소 중 하나인 재래시장 분전반을 중심으로 실태조사를 실시하고 그 내용을 분석하여 향후 전기재해에 취약한 재래시장에 알맞은 감시시스템 개발을 위한 기초자료 로 활용하고자 국내 17개소 재래시장 분전반의 실태조사를 실시하고 그 내용을 분석하였다.

• Journal of Microbiology and Biotechnology
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• v.17 no.3
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• pp.461-467
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• 2007

Staphylococcus aureus strains are important foodborne pathogens that produce various toxins. To evaluate the risk of the enterotoxins, four S. aureus strains from kimbap and two clinical samples were isolated and identified, and their expression of the enterotoxin genes were analyzed using a reverse transcription real-time PCR. Various enterotoxin genes were detected, including sea, seg, seh, sei, sen, seo, and sem, where each isolate contained one or two. When the mRNA detection of the enterotoxin genes was analyzed using a reverse transcriptase PCR, various levels of expression were found depending on the species and enterotoxin gene. Therefore, it is reasonable to suggest that the poisoning risk of S. aureus can be effectively evaluated based on the gene expression at the mRNA level.

• Proceedings of the KIEE Conference
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• 2001.07c
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• pp.1357-1359
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• 2001

0.2${\mu}m$ 이하의 최소 선폭을 가지는 소자를 구현할 때 drain induced barrier lowering (DIBL)이나 hot electron effect와 같은 short channel effect (SCE)가 나타나며 이로 인하여 소자의 신뢰성이 악화되기도 한다. 이를 개선하기 위한 방법 중 하나가 silicon selective epitaxial growth (SEG)를 이용한 elevated source/drain (ESD) 구조이다. 본 연 구에서는 silicon selective epitaxial growth를 이용하여 elevated source/drain 구조를 갖는 MOSFET 소자와 일반적인 MOSFET 구조를 갖는 소자와의 차이를 elevated source/drain의 높이 변화에 따른 전류 전압 특성을 이용하여 비교, 분석하였으며 그 결과 elevated source/drain 구조가 short channel effect를 감소시킴을 확인할 수 있었다.

• Journal of the Korean Society of Costume
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• v.25
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• pp.201-213
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• 1995

The purposes of the study were (1) to seg-ment the female college apparel market based on fashion life style and (2) to develop a pro-file of each segment regard to self-concept, shopping orientation and patronage behavior. The data were collected through questionnaire by random sample of 526 female college students. By cluster analysis of lifestyle factors, three groups were identified, (fashion leaders, fashion followers and fashion aversion) Three groups were then compared through multivariate analysis of variance and chi-square statistics on 10 self-concept variables, 6 shopping statistics on 10 self-concept variables, 6 shopping orientation factors and 1 patronage behavior variable. Significant difference were found among the three groups on all these variables which indi-cate that fashion lifestyle can be a useful base for segmenting female apparel market and these groups are unique in terms of self-con-cept, shopping orientation and patronage behavior.