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      • 전침 자극에 의한 오디 괄약근 운동성 변화에 관한 연구

        이성구,김명완,김홍자,서동환,이상수,김동일,유교상,주연호,민병일,김지훈 경희대학교 동서의학연구소 2001 東西醫學硏究所 論文集 Vol.2000 No.-

        Background/Aims: This study was designed to evaluated the effects of electroacupuncture on the sphincter of Oddi (SO) motility in humans and to correlate the manometric findings with plasma cholecystokinin (CCK) levels. Methods: Eleven patients (M: F= 5: 6) who had various kinds of biliary disorders were enrolled. SO motility was monitored with a conventional low-compliant continuously perfused technique using ERCP (n=9) or percutaneous transhepatic cholangioscope (n=2). After baseline monitoring for phasic wave contractions of SO, electroacupuncture was applied at a specific acupoint, GB 34, in these 11 patients. A nonspecific acupoint 5 cm away from GB 34 was selected as a control. Manometric parameters of SO were also checked in 6 subjects during stimulation of the control acupoint. CCK plasma levels were measured during the time course of electroacupuncture stimulation. Result: All the manometric parameters including the basal pressure of SO, amplitude, frequency and duration of phasic wave contraction of SO were significantly decreased (p< 0.05) during electroacupuncture stimulation. The inhibition of SO contractility was accompanied by increased CCK plasma levels. After removal of electroacupuncture stimulation, restoration of amplitude and duration to basal condition were noted. A tendency towards the return of SO contractility was also observed in basal pressure and frequency. Stimulation of the control acupoint, however, did not affect the SO contractility and plasma CCK levels. Conclusions: Electroacupuncture stimulation of acupoint GB 34 showed reversible inhibition of SO contraction in humans. We speculate that the response of SO to electroacupuncture stimulation may be mediated by some neurohormonal mechanisms including CCK release. (Korean Journal of Gastrointestinal Motility 2000;6:44-41)

      • 그레이브스 병 치료 후 재발 위험 인자에 관한 연구

        이영창,유명희,윤석기,변동원,서교일,김극배 순천향의학연구소 1998 Journal of Soonchunhyang Medical Science Vol.4 No.2

        연구 배경 : 그레이브스 병에 대한 항갑상선제 치료후 적절한 치료 여부 평가 및 재발 위험성을 예측하기 위하여 여러 가지 예후 판정 인자들이 연구되어 왔으며, 이러한 인자들 중 TRH(thyrotropin-releasing hormone) 자극 시험이 가장 믿을 만한 검사중에 하나로 알려져 있다. 그러나 TRH 자극 검사가 정상으로 나와도 재발하는 경우가 많으며, 현재로는 이러한 경우에 재발을 예측하는 예후 인자에 대한 연구는 전무한 실정이다. 금번 연구에서는 TRH 자극 시험 후 TSH(thyroid stimulating hormone)가 정상적인 반응을 보인 환자를 대상으로 재발 및 관해여부를 예측할 수 있는 인자들을 찾고자 하였다. 대상 및 방법 : 항갑상선제제 치료 종료후 TRH 자극 시험을 시행하였던 그레이브스 병 환자 총 84명 중, 정상적인 TSH 반응을 보이면서 1년 이상 추적 관찰이 가능하였던 32명의 환자를 대상으로 하였다. 처음 진단 시와 치료 종료 시에 T3(triiodothyronine), T4(thyroxine), T3/T4 비, TSH, TRAb, Anti-TPO Ab(anti-thyroperoxidase antibody)를 측정하였으며, 치료 종료 2개월후에는 TRH 자극 검사를 하여 TSH 증가폭(△TSH) 및 유리 T_(3) 증가폭(△FT_(3))을 구하였다. 모든 측정치는 평균±표준편차로 표시하였으며, SPSS software를 이용하여 Student's paired t-test, chi-square test, Wilcoxon signed ranks test를 시행하였고, 유의 수준 0.05 이하를 통계적으로 유의하다고 판단하였다. 결과 1) 총 32명의 환자 중 재발한 환자(Group Ⅰ)는 22명(69%) 이었으며, 재발한 환자(Group Ⅱ)는 10명(31%) 이었다. 2) 진단 초기 총T3 치는 Ⅰ 군에서 342.0±126.2ng/dl, Ⅱ 군에서 493.0 ±142.2 ng/dl로 Ⅱ군에 비해 유의하게 증가되었다(p<0.05). 3) Anti-TPO Ab는 Ⅰ군에서 2.9±4.4, Ⅱ군에서 22.3±22.3 U/mL로 나타나 Ⅱ군에서 유의하게 증가되었다.(p<0.05) 4) 양군에서 치료 종료후 재발시 대부분의 환자가 1년 이내에 재발하였다. 5) TRH 자극· 검사후 유리 T3 증가폭 및 TSH 증가폭은 양군간에 차이가 업ㅅ었다(1.5±0.9 vs 1.2±1.0 pmol/L, 12.54±7.56 vs 11.23±4.21 mU/L, p>0.05) 결론 : TRH 자극 검사후 정상적인 TSH 반응을 보인 환자에서 재발 및 관해여부를 치료 초기 T3 및 치료 종료시 Anti-TPO Ab로 예측할 수 있었으며, 이들 측정치가 증가해 있을수록 재발의 가능성이 많음을 알 수 있었다. 또한 투약 중단후 초기 12개원의 추적기간 동안 관해가 유지되면 그 이후엔 재발의 가능성이 현저히 줄어 들었으며, 이 후 좀더 많은 환자들을 대상으로 하는 장기적인 추적연구가 진행 되어야 할 것으로 사료된다. Background : Many studies were undertaken to find parameters that could predict the clinical course of patients with Graves' disease after withdrawal of antithyroid drugs. In many parameters, TRH (thyrotropin-releasing hormone) stimulation test and T3 suppression test were considered to be one of the most reliable for predicting remission. But recently, some studies showed that the measurement of free T3 and FT3 are to be a more accurate than other thyroid function test. In this study, we measured T_(3), T_(4), T_(3)/T_(4), TSH (thyroid stimulating hormone), TRAb (TSH receptor antibody), FT3 and other known useful parameters to compare the factors influencing the relapse of Graves disease after antithyroid medication. Patients and methods : Among the 84 Graves' disease patients who had done the TRH stimulation test after withdrawal of antithyroid medication, we examined 32 patients who showed normal TSH response and followed up more than one year. T_(3), T_(4), T_(3)/T_(4), TSH and TRAb levels were measured at the time of diagnosis and at the end of therapy. Serum TSH and FT_(3) levels were measured after TRH stimulation, after two months of withdrawal of medication. Statistical evaluation was Performed by SPSS software in combination with Student's Paired t-test, chi-square test, Wlicoxon signed-ranks test. p-value less than 0.05 was considered to be significant. Results 1. In the 32 patients with Graves disease, 10 patients(31%) relapsed(Group Ⅰ) and 22 Patients(69%) remained in remission(Group Ⅱ). 2. Initial serum T3 level was significantly higher in group Ⅰ than group Ⅱ(342.0 ±126.2 vs. 493.0±142.2 ng/dl, p<0.05). 3. Anti-TPO Ab level was significantly higher in group Ⅰ than group Ⅱ(22.3±22.3 vs 2.9±4.4 U/mL, p<0.05). 4. In group Ⅰ and Ⅱ most patients showed relapse within 1 year after antithyroid medication. 5. After TRH stimulation test, serum FT_(3), and TSH level were not significantly different between group I and Ⅱ(p>0.05). 6. Serum T_(4), T_(3)/T_(4), TSH, TRAb levels were not significantly different from group Ⅰ and Ⅱ. Conclusion : In this study, we found increased relapse rate in the patients with Graves' disease whose initial serum T3 and anti-TPO Ab levels were high, so these parameters could be used to predict the relapse of Graves' disease. In the case of more than 12 months remission period after withdrawal of antithyroid medication, no relapse wsa observed in this study, but study should be done in the large population of patients with Graves' disease.

      • 의사-레이블기법을 이용한 기계학습기반 설비상태 모니터링과 진단

        서명교(Myung-Kyo Seo),윤원영(Won-Young Yun),서순근(Sun-Keun Seo) 대한산업공학회 2020 대한산업공학회지 Vol.46 No.5

        This paper deals with a monitoring problem of the hot strip roughing mill that consists of lots of mechanical and electrical units. In fault diagnosis, various and complex units could be failed with unknown reasons and the main issue is to how to detect efficiently the abnormal or failed condition of the equipments. In this paper, pseudonormal and pseudo-abnormal data sets were defined and labeled to apply a classification analysis algorithm to unlabeled equipment vibration data. The Lagrangian perspective is used to compare the initial baseline pseudonormal dataset with the pseudo-abnormal dataset determined over time to monitor the classification evaluation scale for the status of the equipment. We use the support vector machine (SVM), K-NN, and discriminant analysis together to diagnose equipment fault and give alarm to maintain the facility properly applied classification algorithms and a procedure are proposed to generate alarms through test of correlation coefficient, cluster performance, and mean difference between clusters. A case study is done based on the experimental field gear box vibration data.

      • 스탠드간 장력분포를 이용한 열연판 평탄도 제어

        서명교(Myung Kyo Seo),홍완기(Wan Kee Hong),김종식(Jong Shik Kim) 대한기계학회 2002 대한기계학회 춘추학술대회 Vol.2002 No.10

        To have high flatness quality of hot rolled strip in hot strip finishing mills, a new flatness control system is proposed in this paper. The proposed flatness control system is synthesized by the system identification and self-tuning PI control methods. It is founded that the self-tuning PI controller has better performances than the PI controller with fixed gains and than the minimum variance controller by the computer simulation.

      • KCI등재

        군집기반 열간조압연설비 상태모니터링과 진단

        서명교 ( Myung-kyo Seo ),윤원영 ( Won Young Yun ) 한국품질경영학회 2017 품질경영학회지 Vol.45 No.1

        Purpose: Hot strip rolling mill consists of a lot of mechanical and electrical units. In condition monitoring and diagnosis phase, various units could be failed with unknown reasons. In this study, we propose an effective method to detect early the units with abnormal status to minimize system downtime. Methods: The early warning problem with various units is defined. K-means and PAM algorithm with Euclidean and Manhattan distances were performed to detect the abnormal status. In addition, an performance of the proposed algorithm is investigated by field data analysis. Results: PAM with Manhattan distance(PAM_ManD) showed better results than K-means algorithm with Euclidean distance(K-means_ED). In addition, we could know from multivariate field data analysis that the system reliability of hot strip rolling mill can be increased by detecting early abnormal status. Conclusion: In this paper, clustering-based monitoring and fault detection algorithm using Manhattan distance is proposed. Experiments are performed to study the benefit of the PAM with Manhattan distance against the K-means with Euclidean distance.

      • 마할라노비스거리를 이용한 군집기반 열간 조압연설비 상태모니터링과 진단

        서명교(Myung Kyo Seo),윤원영(Won Young Yun) 대한산업공학회 2017 대한산업공학회지 Vol.43 No.4

        Steel industry is faced with cost reduction pressures due to intense competition in the market. In particular, the steel industry is a representative process industry, and it is essential for cost reduction to produce steel products without unscheduled down. The hot strip roughing mill consists of lots of mechanical and electrical units. In fault diagnosis, various and complex units could be failed with unknown reasons. In this paper, we propose an clustering based fault detection method using mahalabnobis distance to figure out early the units with abnormal status to minimize the system downtime. K-means and PAM (partition around medoids) algorithm with euclidean (ED) and mahalanobis distance (MD) are used to detect the abnormal status. We have proposed a clustering based fault detection algorithm using MD considering the correlation between variables. We evaluate the performance of PAM algorithm using MD through actual field data.

      • Hypoxia protects neuronal cells from human prion protein fragment-induced apoptosis

        Seo, Jae-Suk,Seol, Jae-Won,Moon, Myung-Hee,Jeong, Jae-Kyo,Lee, You-Jin,Park, Sang-Youel Blackwell Publishing Ltd 2010 Journal of Neurochemistry Vol.112 No.3

        <P><I>J. Neurochem.</I> (2010) <B>112</B>, 715–722.</P><P>Abstract</P><P>Prion diseases are neurodegenerative disorders characterized by the accumulation of an abnormal isoform of the prion protein PrP<SUP>Sc</SUP>. Human prion protein fragment, PrP (106–126) (prion protein peptide 106–126), may contain most of the pathological features associated with PrP<SUP>Sc</SUP>. Hypoxic conditions elicit cellular responses adaptively designed to improve cell survival and have an important role in the process of cell survival. We investigate the effects of hypoxia on PrP (106–126)-induced apoptosis in the present study. Human neuroblastoma and glioblastoma cells were incubated with varied doses of PrP (106–126) under both normoxic or hypoxic conditions, in order to determine the regulatory effects of hypoxia on PrP (106–126)-induced apoptosis. The results indicate that hypoxia protects neuronal cells against PrP (106–126)-induced cell death by activating the Akt signal, which is inactivated by prion proteins, and inhibiting PrP (106–126)-induced caspase 3 activation. Low oxygen conditions increase the Bcl-2 protein, which is associated with anti-apoptotic signals, and recover the PrP (106–126)-induced reduction in mitochondrial transmembrane potential. This study demonstrates that hypoxia inhibits PrP (106–126)-induced neuron cell death by regulating Akt and Akt-related signaling, and it also suggests that prion-related neuronal damage and disease may be regulated by hypoxia or by hypoxic-inducing genes.</P>

      • Wavelength-scale photonic-crystal laser formed by electron-beam-induced nano-block deposition

        Seo, Min-Kyo,Kang, Ju-Hyung,Kim, Myung-Ki,Ahn, Byeong-Hyeon,Kim, Ju-Young,Jeong, Kwang-Yong,Park, Hong-Gyu,Lee, Yong-Hee The Optical Society 2009 Optics express Vol.17 No.8

        <P>A wavelength-scale cavity is generated by printing a carbonaceous nano-block on a photonic-crystal waveguide. The nanometer-size carbonaceous block is grown at a pre-determined region by the electron-beam-induced deposition method. The wavelength-scale photonic-crystal cavity operates as a single mode laser, near 1550 nm with threshold of approximately 100 microW at room temperature. Finite-difference time-domain computations show that a high-quality-factor cavity mode is defined around the nano-block with resonant wavelength slightly longer than the dispersion-edge of the photonic-crystal waveguide. Measured near-field images exhibit photon distribution well-localized in the proximity of the printed nano-block. Linearly-polarized emission along the vertical direction is also observed.</P>

      • Air conditioner component optimum operation point search through a deep reinforcement learning algorithm

        Myung-Sup YOON,Won-Sik YOON,Myung-Kyo SEO,Seung-Yup RYU,Jong-Seok LEE 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10

        A deep reinforcement machine learning algorithm is applied to an energy-efficient optimal operation point search of an inverter air conditioner. The combination of the two factors of compressor output (COM) and electronic expansion valve (EEV) opening, which have a major influence on the efficiency (EER) of an air conditioner, is analyzed with the algorithm over 5 days. It displays a repetitive stabilization pattern 12 hours after the commencement of the deep learning algorithm, and finds the optimal (COM, EEV) combination with the maximum EER. An arbitrary case (600, 400) that satisfies the target cooling capacity (9200 W) is started with an initial value to reach (420, 230) with the optimal EER at a given condition (given product specification, standard test condition (T1 condition)). In this study, since the optimal point of (COM, EEV) exists at the boundary of the action domain, it inevitably has a repeating learning pattern. The repetitive stabilization pattern is examined for two cases of the discount factor of 0.5 and 0.99. When the discount factor is 0.5, it shows a shortsighted behavior to the present reward value more clearly than when it is 0.99. This kind of experimental study can be extended to find the optimum operating point when several components of an air conditioner are operating simultaneously.

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