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      • p-Anisaldehyde가 조골세포 분화에 미치는 영향

        김경민 ․ 이도원 ․ 김현준 ․ 김아랑 ․ 장원구 대구대학교 산업기술연구소 2018 産業技術硏究 Vol.29 No.2

        p-Anisaldehyde is a natural fragrance extracted from Pimpinella anisum L., and used as a preservative. This study examined the effect of p-anisaldehyde on osteoblast differentiation. First, cytotoxicity tests were carried out after examining the concentrations that did not show toxicity to the cells. The expression of osteoblast differentiation marker gene was confirmed by RT-PCR and was not effective in the treatment with p-anisaldehyde alone. However, p-anisaldehyde decreased the expression levels of inhibitor of differentiation-1 (Id1), distalless related homeobox (Dlx5), and runt-related transcription factor 2 (Runx2), which are osteogenic differentiation marker genes, which are increased in osteogenic condition. alkaline phosphatase (ALP) activity was also confirmed by ALP staining that p-anisaldehyde reduced ALP activity. These results show that p-anisaldehyde is effective in reducing osteoblast differentiation.

      • KCI등재

        A Self-powered Always-on Vision-based Wake-up Detector for Wearable Gesture User Interfaces

        Hyeon-Gu Do,Seongrim Choi,Junsik Woo,Ara Kim,Byeong-Gyu Nam 대한전자공학회 2019 Journal of semiconductor technology and science Vol.19 No.4

        Hand gesture recognition is one of the secure natural user interface (NUI) mechanisms on wearable devices since it does not reveal user’s intention in public domain. However, its energy dissipation is very demanding since it requires compute-intensive machine vision processing. Recently, wake-up detectors have been proposed to improve the energy-efficiency of always-on sensing nature of the NUI systems by switching off the main functional blocks while just keeping the wake-up detector alive during idle time. However, vision-based wake-up detectors still require power-consuming vision processing so we propose a self-powered vision wake-up detector to alleviate burdens on limited battery lifetime and thus facilitate always-on wake-up detection for the wearable gesture UIs. Our work has four key features to realize the self-powered wake-up detection; 1) near-threshold imaging-harvesting dualmode CMOS image sensor (CIS) with 0.6 V 3T pixels, 2) subthreshold SRAM with disturb-free 0.3 V 10T bitcells, 3) hand detection engine with skin-color invariant Haar-like filters, and 4) on-die switched capacitor DC-DC converter for lightweight system design. Thanks to these features integrated together, this work achieves self-powered operation of alwayson vision wake-up detection.

      • KCI등재

        A Low-power Real-time Hidden Markov Model Accelerator for Gesture User Interface on Wearable Devices

        Hyeon-Gu Do,Seongrim Choi,Jaemin Hwang,Ara Kim,Byeong-Gyu Nam 대한전자공학회 2019 Journal of semiconductor technology and science Vol.19 No.4

        A low-power and real-time hidden Markov model (HMM) accelerator is proposed for gesture user interface on wearable smart devices. HMM algorithm is widely used for sequence recognition problems such as speech recognition and gesture recognition thanks to its best-in-class recognition accuracy. However, the HMM algorithm has high computational complexity and requires massive memory bandwidth in sequence matching process. Therefore, there have been studies on hardware acceleration of the HMM algorithm to resolve these issues, but they were focusing on the speech recognition and therefore did not accommodate the motion orientation function required for the gesture recognition problem. The motion orientation function computes the direction of hand movement in gesture sequence and thus involves compute intensive division and arctangent operations. In this paper, we propose an HMM accelerator with a light weight motion orientation module for realizing gesture recognition on wearable devices. Binary search method is exploited in the motion orientation module to avoid the division and arctangent operations associated with calculating orientations for reduced arithmetic complexity. In addition, gesture models are clustered in the gesture database to reduce external memory transactions. Moreover, logarithmic arithmetic is adopted in Viterbi decoder of the HMM algorithm for more reduction in its complexity. Thanks to these proposed schemes, this work achieves 25.6% power reduction compared with a vanilla hardware implementation of the gesture recognizing HMM.

      • SCOPUSKCI등재

        간내담석 환자에서 자기공명 담도췌관조영술의 유용성 및 제한점

        박도현 ( Park Do Hyeon ),김명환 ( Kim Myeong Hwan ),이상수 ( Lee Sang Su ),김선영 ( Kim Seon Yeong ),김정호 ( Kim Jeong Ho ),김현준 ( Kim Hyeon Jun ),배종석 ( Bae Jong Seog ),서동완 ( Seo Dong Wan ),이성구 ( Lee Seong Gu ),김아영 대한소화기학회 2003 대한소화기학회지 Vol.42 No.5

        Diagnosis of bile duct strictures as well as detection and localization of hepatolithiasis is important for an effective treatment of hepatolithiasis. For this purpose, endoscopic retrograde cholangiopancreatography (ERCP) and percutaneous transhepatic cholangiography (PTC) have been preferred as the diagnostic modalities of choice for hepatolithiasis. At present, magnetic resonance cholangiopancreatography (MRCP) is rapidly replacing ERCP. To determine the usefulness and limitation of MRCP for detecting hepatolithiasis and biliary strictures, we compared the result of MRCP with that of percutaneous transhepatic cholangioscopy (PTCS) as the standard reference. Methods: Sixty-six patients with primary hepatolithiasis who underwent both MRCP and PTCS were enrolled. All patients underwent PTCS within 2 weeks of MRCP. The results of MRCP were reviewed by radiologists who were unaware of the clinical information about the location of hepatolithiasis and the presence of biliary strictures. Results: The sensitivity and specificity of MRCP for detecting intrahepatic stones were 72.4 and 90%, respectively. The sensitivity of MRCP for depicting intraheptic bile duct strictures was 64%. The overall agreement between MRCP and PTCS for intrahepatic stones showed a good reliability (kappa value=0.64, p<0.05). The agreement of MRCP for hepatolithiasis with intrahepatic bile duct strictures with reference to PTCS showed a moderate reliability (kappa value=0.47, p<0.05). Imaging findings such as pneumobilia and hepatic parenchymal atrophy were related to false positive results in location of hepatolithiasis (p<0.05). Conclusions: MRCP has a good agreement rate in evaluation of intrahepatic stones and a moderate agreement rate in intrahepatic strictures, compared to PTCS. (Korean J Gastroenterol 2003;42:423-430)

      • SCIESCOPUSKCI등재

        Prevalence of Anaplasma and Bartonella spp. in Ticks Collected from Korean Water Deer(Hydropotes inermis argyropus)

        Jun-Gu Kang,Sungjin Ko,Heung-Chul Kim,Sung-Tae Chong,Terry A. Klein,Jeong-Byoung Chae,Yong-Sun Jo,Kyoung-Seong Choi,Do-Hyeon Yu,Bae-Keun Park,Jinho Park,Joon-Seok Chae 대한기생충학열대의학회 2016 The Korean Journal of Parasitology Vol.54 No.1

        Deer serve as reservoirs of tick-borne pathogens that impact on medical and veterinary health worldwide. In the Republic of Korea, the population of Korean water deer (KWD, Hydropotes inermis argyropus) has greatly increased from 1982 to 2011, in part, as a result of reforestation programs established following the Korean War when much of the land was barren of trees. Eighty seven Haemaphysalis flava, 228 Haemaphysalis longicornis, 8 Ixodes nipponensis, and 40 Ixodes persulcatus (21 larvae, 114 nymphs, and 228 adults) were collected from 27 out of 70 KWD. A total of 89/363 ticks (266 pools, 24.5% minimum infection rate) and 5 (1.4%) fed ticks were positive for Anaplasma phagocytophilum using nested PCR targeting the 16S rRNA and groEL genes, respectively. The 16S rRNA gene fragment sequences of 88/89 (98.9%) of positive samples for A. phagocytophilum corresponded to previously described gene sequences from KWD spleen tissues. The 16S rRNA gene fragment sequences of 20/363 (5.5%) of the ticks were positive for A. bovis and were identical to previously reported sequences. Using the ITS specific nested PCR, 11/363 (3.0%) of the ticks were positive for Bartonella spp. This is the first report of Anaplasma and Bartonella spp. detected in ticks collected from KWD, suggesting that ticks are vectors of Anaplasma and Bartonella spp. between reservoir hosts in natural surroundings.

      • Evaluation of Dose Reduction and Accuracy of Images According to Scan Mode Change in Pediatric Chest CT

        김구(Gu Kim),김도훈(Do-Hun Kim),김민재(Min-Jae Kim),이병현(Byeong-Hyeon Lee),강동원(Dong-Won Kang) 대한CT영상기술학회 2019 대한CT영상기술학회지 Vol.21 No.2

        목적: 소아 흉부 CT검사시 방사선 피폭을 최소화 하면서 진단적으로 가치가 높은 영상을 얻기 위해서 Helical mode, High-pitch mode, Volume Axial mode를 적용하여서 선량, 검사시간, 화질을 비교하여 유용성을 평가하고자 한다. 대상 및 방법: Revolution(GE Healthcare, Wisconsin USA)을 이용하여 PBU-70팬텀을 Helical mode, High-pitch mode, Volume Axial mode로 각각의 그룹으로 나누어서 70kVp, 80kVp, 100kVp의 조건으로 30회 검사를 실시하였다. 영상을 획득 한 후에 각각의 영상에 심장(Heart), 뼈(Bone), 폐(Lung), Back-ground air에 ROI를 설정하고 CT number(HU)와 noise(SD)값을 측정하여 평균값을 구하고 SNR과 CNR을 측정 하였고, 장비에서 직접 제공하는 DLP값 비교하였다. 통계적인 유의성을 확인해보기 통계 분석은 PASW을 사용하여 독립 t-검정을 시행하였다. 결과: 영상평가에서는 70 kVp heart의 SNR은 Volume Axial과 Helical에서 유의미한 차이가 있었고 (p<0.05) Volume Axial과 High-pitch는 유의미한 차이가 없었다(p>0.05). Volume Axial(-4.39±0.27), Helical(-4.73±0.22), High-pitch(-4.48±0.15). 80kVp heart의 SNR은 Volume Axial과 Helical에서 유의미한 차이가 있었고(p<0.05) Volume Axial과 High-pitch는 유의미한 차이가 없었다(p>0.05). Volume Axial(-3.27±0.18), Helical(-3.44±0.16), High-pitch(-3.31±0.16). 100kVp heart의 SNR은 Volume Axial과 High-pitch에서 유의미한 차이가 있었고, (p<0.05) Volume Axial과 Helical은 유의미한 차이가 없었다(p>0.05). Volume Axial(-1.81±0.08), Helical(-1.82±0.18) High-pitch(-1.97±0.10). 70kVp lung의 SNR은 Volume Axial과 High-pitch에서 유의미한 차이가 있었고,(p<0.05) Volume Axial과 Helical은 유의미한 차이가 없었다(p>0.05). High-pitch(-75.59±2.44), Helical-70kVp(-80.00±3.71), Volume Axial (-79.01±4.72). 80kVp lung의 SNR은 Volume Axial과 High-pitch에서 유의미한 차이가 있었고(p<0.05) Volume Axial과 Helical은 유의미한 차이가 없었다(p>0.05). High-pitch(-76.70±3.70), Helical(-79.40±4.68) Volume Axial(-81.19±3.59). 100kVp lung의 SNR은 Volume Axial과 High-pitch, Volume Axial과 Helical에서 유의미한 차이가 있었다(p<0.05). Helical(-74.72±6.19), Volume Axial (-79.65±3.02), High-pitch(-77.93±2.83). 70 kVp의 CNR은 Volume Axial과 High-pitch에서 유의미한 차이가 있었고,(p<0.05) Volume Axial과 Helical은 유의미한 차이가 없었다(p>0.05). Helical(58.14±2.65), Volume Axial(56.84±3.36), High-pitch(54.92±1.79). 80 kVp의 CNR은 Volume Axial과 High-pitch에서 유의미한 차이가 있었고(p<0.05) Volume Axial과 Helical은 유의미한 차이가 없었다(p>0.05). Volume Axial(47.72±2.02), Helical(46.91±2.56), High-pitch(45.16±2.13). 100 kVp의 CNR은 Volume Axial과 Helical에서 유의미한 차이가 있었고(p<0.05) Volume Axial과 High-pitch는 유의미한 차이가 없었다(p>0.05). Volume Axial (37.95±1.47), Helical(35.83±2.96), High-pitch(37.31±1.40). 선량 평가에서는 각 mode의 70 kVp의 DLP는 Volume Axial과 Helical, Volume Axial과 High-pitch에서 유의미한 차이가 있었다(p<0.05). Volume Axial(8.20±0.07), Helical(10.41±0.14), High-pitch(11.16±0.13). 80 kVp의 DLP는 Volume Axial과 Helical, Volume Axial과 High-pitch에서 유의미한 차이가 있었다(p<0.05). Volume Axial(9.81±0.18), Helical(12.51±0.18), High-pitch(13.13±0.18).100 kVp의 DLP는 Volume Axial과 Helical, Volume Axial과 High-pitch에서 유의미한 차이가 있었다(p<0.05). Volume Axial(10.42±0.03), Helical(13.37±,0.25), High-pitch(13.79±0.11). 결론: 본 실험을 통해 검사 시 volume axial mode 사용 시 가장 적은 선량으로 영상의 화질 저하 없이 빠른 시간에 검사가 가능하다. 16 cm의 detector coverage 가 모든 소아 흉부 CT검사에 적용하기에 제한점이 있으나 가능한 소아환자에 있어 적극적인 활용을 추천하며 volume axial mode의 다른 검사부위 적용에 대한 지속적인 연구가 필요하리라 사료된다. Purpose: The purpose of this study is to obtain diagnostic high-value images while minimizing radiation exposure during a child s chest CT examination. Radiation dose, test time and quality are compared by applying the Medical mode, High-pitched mode, and Volume axial mode. Materials and method: The PBU-70 phantom was utilized with the Medical mode, High-pitch mode, and Volume axial mode using Revolution (GE Healthcare, Wisconsin USA). 70kVp, 80kVp, 100kVp were tested via 30 times for each. After acquiring the images, we set up the ROI to Back-ground air in the each image of Heart, Bone, and Lung. The CT number (HU) and noise (SD) was measured and the averaged values was used to estimate SNR and CNR. The SNR and CNR was compared to DLP directly obtained from the equipment. Statistical analysis was conducted by using independent t-test with the Predictive Analytics SoftWare (PASW). Results: In image evaluation, the SNR of 70kVp heart was significantly different between Volume Axial and Helical(p<0.05), but there was no significant difference between Volume Axial and High-pitch(p>0.05). Volume Axial(-4.39±0.27), Helical(-4.73±0.22), High-pitch(-4.48±0.15). The SNR of 80kVp heart was significantly different between Volume Axial and Helical (p<0.05), but there was no significant difference between Volume Axial and High-pitch(p>0.05). Volume Axial(-3.27±0.18), Helical(-3.44 ±0.16), High-pitch(-3.31±0.16). The SNR of 100kVp heart was significantly different between Volume Axial and High-Pitch(p<0.05), but there was no significant difference between Volume Axial and Helical(p>0.05). Volume Axial(-1.81±0.08), Helical(-1.82±0.5) High-pitch(-1.97±0.10). The SNR of 70kVp lung was significantly different between Volume Axial and High-Pitch(p<0.05), but there was no significant difference between Volume Axial and Helical(p>0.05). High-pitch(-75.59±2.44), Helical(-80.00±3.71), Volume Axial(-79.01±4.72). The SNR of 80kVp lung was significantly different between Volume Axial and High-Pitch (p<0.05), but there was no significant difference between Volume Axial and Helical(p>0.05). High-pitch(-76.70±3.70), Helical(-79.40±4.68), Volume Axial(-81.19±3.59). The SNR of 100kVp lung was significantly different between Volume Axial and High-pitch, Volume Axial and Helical(p<0.05), Helical(-74.72±6.19), Volume Axial(-79.65±3.02), High-pitch(-77.93±2.83). The CNR of 70kVp lung was significantly different between Volume Axial and High-Pitch(p<0.05), but there was no significant difference between Volume Axial and Helical(p>0.05). Helical(58.14±2.65), Volume Axial(56.84±3.36), High-pitch(54.92±1.79). The CNR of 80kVp lung was significantly different between Volume Axial and High-Pitch(p<0.05), but there was no significant difference between Volume Axial and Helical(p>0.05). Volume Axial(47.72±2.02), Helical(46.91±2.56), High-pitch(45.16±2.13). The CNR of 100kVp heart was significantly different between Volume Axial and Helical(p<0.05), but there was no significant difference between Volume Axial and High-pitch(p>0.05). Volume Axial(37.95±1.47), Helical(35.83±2.96), High-pitch(37.31±1.40). In the dose assessment, DLP of 70kVp in each mode was significantly different from Volume Axial and Helical, Volume Axial and High-Pitch(p<0.05). Volume Axial(8.20±0.07), Helical(10.41±0.14), High-pitch(11.16±0.13). The 80kVp DLP showed a significant difference between Volume Axial and Helical, Volume Axial and High-Pitch(p<0.05) Volume Axial(9.81±0.18), Helical(12.51±0.18), High-pitch(13.13±0.18). The 100kVp DLP showed a significant difference in volume axis and helical, volume axis and high-pitch(p <0.05). Volume Axial(10.42±0.03), Helical(13.37±0.25), High-pitch(13.79±0.11). Conclusions: In this study, the volume axial mode showed the best inspection result with the least radiation dose and without compromising image quality in a short period of time. The detector coverage of 16 cm has some limits to applying to all ped

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