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Choline Acetyltransferase 유전자 다형성이 경도인지손상 발현에 미치는 영향
이정재,박준혁,이석범,허윤석,김태희,윤종철,주진형,이동영,박경운,김기웅,Lee, Jung-Jae,Park, Joon-Hyuk,Lee, Seok-Bum,Huh, Yoon-Seok,Kim, Tae-Hui,Youn, Jong-Chul,Jhoo, Jin-Hyeong,Lee, Dong-Young,Park, Koung-Un,Kim, Ki-Woong 대한생물정신의학회 2010 생물정신의학 Vol.17 No.4
Objectives : The potential association between choline acetyltransferase(CHAT) polymorphism and the risk of mild cognitive impairment(MCI) has not been investigated in Korea. We examined the main effect of CHAT polymorphism and its interaction with apolipoprotein E(APOE) polymorphism in the development of MCI in elderly Korean sample. Methods : We analyzed CHAT 2384G > A polymorphism and APOE polymorphism among 149 MCI subjects with MCI and 298 normal controls. We tested the association between MCI and CHAT A allele status using a logistic regression model. In addition, we employed generalized multifactor dimensionality reduction(GMDR) to investigate the interaction between CHAT and APOE with regard to the risk of MCI. Results : The CHAT A allele was associated with AD risk(OR = 1.59, 95% CI = 1.02-2.48, p = 0.042). No significant gene-gene interaction between CHAT and APOE was found in GMDR method(testing balanced accuracy = 0.540, p = 0.055). Conclusion : The CHAT A allele was associated with MCI risk in the Korean elderly. Its interaction with the APOE ${\varepsilon}4$ allele was not significant with regard to the development of MCI.
이정재,박재영,서원문.Jung Jae Lee. MD. Jae Yeong Park. MD. Won Moon Seo. MD 대한안과학회 2012 대한안과학회지 Vol.53 No.6
Purpose: To report a case of bilateral optic neuritis in a child after tsutsugamushi infection. Case summary: An eight-year-old boy diagnosed with tsutsugamushi infection was referred to the ophthalmology clinic at our institution. A typical eschar was detected on his right clavicle. The patient complained of severely decreased visual acuity. The initial best corrected visual acuity (BCVA) in his right eye was 0.08, and in his left eye was negative light perception. Fundus exam showed bilateral optic disc swelling and hyperemia. Optic neuritis was diagnosed after tsutsugamushi infection, and high-dose intravenous steroid therapy was initiated according to the ONTT study protocol. Twelve months after treatment, the right eye BCVA improved to 1.0, but the left eye BCVA was only 0.06. Conclusions: The authors of the present study experienced a case of bilateral optic neuritis after tsutsugamushi infection with a relatively positive response to the steroid therapy. J Korean Ophthalmol Soc 2012;53(6):901-905
의료 WBAN 환경을 위한 IEEE 802.15.4 MAC 성능 개선
이정재,홍재희,Lee, Jung-Jae,Hong, Jae-Hee 한국전자통신학회 2015 한국전자통신학회 논문지 Vol.10 No.1
WBAN(Wireless Body Area Network)는 인체주변 2-3m 영역에서 의료 및 비의료 디바이스들로 구성된 다양한 환자 모니터링 분야를 지원하기 위한 무선센서네트워크이다. WBAN 환경을 위해서는 저전력 소비, QoS, 듀티사이클등의 요구사항을 만족하고 주파수 대역을 효율적으로 분배하며 트래픽 로드에 강하면서 에너지를 절약하는 MAC(Medium Access Control)이 설계되어야 한다. 본 논문에서는 트래픽 로드가 증가할 때를 고려해 에너지에 효율적인 AQ(Adaptive Queuing) MAC 슈퍼프레임 구조를 제안한다. 또한 시뮬레이션 결과 제안하는 AQ(Adaptive Quenuing)MAC를 IEEE 802.15.4 MAC과 비교 하였을 때 전송처리율, 평균MAC 지연율 측면에서 향상된 결과를 얻을 수 있었다. WBAN(Wireless Body Area Network) is a Wireless Sensor Network for supporting various applications around body within 2~3m which consists of medical and non-medical device. MAC in WBAN environment should satisfy requirements such as low power consumption, various transmission rate, QoS, and duty-cycle, efficiently distribute frequency band, be strong at traffic load and save energy. This paper proposes AQ(Adaptive Queuing) MAC superframe structure for efficient energy use, considering the increase of traffic load. The simulation result also show that transmission rate and average MAC delay rate is improved comparing IEEE 802.15.4 MAC with AQ MAC.
LDA와 SVM을 이용한 얼굴 인식 시스템에 관한 연구
이정재,Lee, Jung-Jai 한국전자통신학회 2015 한국전자통신학회 논문지 Vol.10 No.11
본 논문에서는 얼굴 인식을 위한 보다 안정적이며 조명 변화와 회전에 강인하게 얼굴 영역을 검출하며, 계산의 효율성과 검출 성능을 동시에 만족시키는 강인한 인식 알고리즘에 대해 제안한다. 제안하는 알고리즘은 전처리 과정을 거쳐 정규화한 후 얼굴 영역만을 분할 검출한 후 주성분분석(PCA)을 이용하여 특징벡터를 구한다. 또한 구해진 특징벡터를 SVM에 적용하여 최적의 이진분류를 진행함으로써 얼굴 영역에 대한 검증을 수행한다. 검증 후 특징벡터를 다시 LDA에 적용하여 2차원 공간상에서 유클리디안 거리 이용하여 최종 얼굴을 인식하게 된다. 본 논문에서 제안하는 방법으로 인식률의 안전성과 정확성을 향상시킬 수 있었으며, 차원 축소로 인해 많은 계산 량이 요구되지 않기 때문에 실시간 인식도 가능하다. This study proposed a more stable robust recognition algorithm which detects faces reliably even in cases where there are changes in lighting and angle of view, as well it satisfies efficiency in calculation and detection performance. The algorithm proposed detects the face area alone after normalization through pre-processing and obtains a feature vector using (PCA). Also, by applying the feature vector obtained for SVM, face areas can be tested. After the testing, the feature vector is applied to LDA and using Euclidean distance in the 2nd dimension, the final analysis and matching is performed. The algorithm proposed in this study could increase the stability and accuracy of recognition rates and as a large amount of calculation was not necessary due to the use of two dimensions, real-time recognition was possible.
이정재,이석범,Lee, Jung Jae,Lee, Seok Bum 대한생물정신의학회 2016 생물정신의학 Vol.23 No.2
Alzheimer's disease (AD) is a neurodegenerative disorder in which neuronal loss causes cognitive decline and other neuropsychiatric problems. It can be diagnosed based on history, examination, and appropriate objective assessments, using standard criteria such as the Diagnostic and Statistical Manual of Mental Disorders or the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA). Brain imaging and biomarkers are making progress in the differential diagnoses among the different disorders. The cholinesterase inhibitors, donepezil, rivastigmine and galantamine and N-methyl-D-aspartate receptors antagonist memantine are approved by the US Food and Drug Administration for AD. Recently some acetylcholinesterase inhibitors gained approval for the treatment of severe AD and became available in a higher dose formulation or a patch formulation. Optimal care in AD is multifactorial and it should include early diagnosis and multidisciplinary care with pharmacological and nonpharmacological interventions including exercise interventions, cognitive interventions and maintenance of social networks.