• Title/Summary/Keyword: confidence probability

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Clinical Study of Iris Diagnosis by means of Statistical Analysis (임상적 통계를 통한 홍채진단의 신빙성 연구)

  • Kim Kyong Su;Park Byong Min;Cha Yong Seok;Kim Yong Jeong;Yun Jong Min;Lee Seung Eon;Cha Suk;Kim Kang San
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.17 no.6
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    • pp.1538-1542
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    • 2003
  • This Study was carried out for proof of confidence of Iris Diagnosis. We analyzed relation between Iris Signs and Chief Complain, and then analyzed relation between Iris Signs and Past History. The rate of relation between Iris Signs and Chief Complain was 72.1 %. The rate of relation between Iris Signs and Past History was 52.9%. synthetically, We had known that this diagnosis method have probability of 79.7%. It was confirmed that there are close correlations between Iris Signs and Chief Complain and between Iris Signs and Past History.

Improving Phoneme Recognition based on Gaussian Model using Bhattacharyya Distance Measurement Method (바타챠랴 거리 측정 기법을 사용한 가우시안 모델 기반 음소 인식 향상)

  • Oh, Sang-Yeob
    • Journal of Korea Multimedia Society
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    • v.14 no.1
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    • pp.85-93
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    • 2011
  • Previous existing vocabulary recognition programs calculate general vector values from a database, so they can not process phonemes that form during a search. And because they can not create a model for phoneme data, the accuracy of the Gaussian model can not secure. Therefore, in this paper, we recommend use of the Bhattacharyya distance measurement method based on the features of the phoneme-thus allowing us to improve the recognition rate by picking up accurate phonemes and minimizing recognition of similar and erroneous phonemes. We test the Gaussian model optimization through share continuous probability distribution, and we confirm the heighten recognition rate. The Bhattacharyya distance measurement method suggest in this paper reflect an average 1.9% improvement in performance compare to previous methods, and it has average 2.9% improvement based on reliability in recognition rate.

Fragility assessment of RC-MRFs under concurrent vertical-horizontal seismic action effects

  • Farsangi, Ehsan Noroozinejad;Tasnimi, Abbas Ali;Mansouri, Babak
    • Computers and Concrete
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    • v.16 no.1
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    • pp.99-123
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    • 2015
  • In this study, structural vulnerability of reinforced concrete moment resisting frames (RC-MRFs) by considering the Iran-specific characteristics is investigated to manage the earthquake risk in terms of multicomponent seismic excitations. Low and medium rise RC-MRFs, which constitute approximately 80-90% of the total buildings stock in Iran, are focused in this fragility-based assessment. The seismic design of 3-12 story RC-MRFs are carried out according to the Iranian Code of Practice for Seismic Resistant Design of Buildings (Standard No. 2800), and the analytical models are formed accordingly in open source nonlinear platforms. Frame structures are categorized in three subclasses according to the specific characteristics of construction practice and the observed seismic performance after major earthquakes in Iran. Both far and near fields' ground motions have been considered in the fragility estimation. An optimal intensity measure (IM) called Sa, avg and beta probability distribution were used to obtain reliable fragility-based database for earthquake damage and loss estimation of RC buildings stock in urban areas of Iran. Nonlinear incremental dynamic analyses by means of lumped-parameter based structural models have been simulated and performed to extract the fragility curves. Approximate confidence bounds are developed to represent the epistemic uncertainties inherent in the fragility estimations. Consequently, it's shown that including vertical ground motion in the analysis is highly recommended for reliable seismic assessment of RC buildings.

A Proteomic Screen for Presynaptic Terminal N-type Calcium Channel (CaV2.2) Binding Partners

  • Khanna, Rajesh;Zougman, Alexandre;Stanley, Elise F.
    • BMB Reports
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    • v.40 no.3
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    • pp.302-314
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    • 2007
  • N type calcium channels (CaV2.2) play a key role in the gating of transmitter release at presynaptic nerve terminals. These channels are generally regarded as parts of a multimolecular complex that can modulate their open probability and ensure their location near the vesicle docking and fusion sites. However, the proteins that comprise this component remain poorly characterized. We have carried out the first open screen of presynaptic CaV2.2 complex members by an antibody-mediated capture of the channel from purified rat brain synaptosome lysate followed by mass spectroscopy. 589 unique peptides resulted in a high confidence match of 104 total proteins and 40 synaptosome proteome proteins. This screen identified several known CaV2.2 interacting proteins including syntaxin 1, VAMP, protein phosphatase 2A, $G_{o\alpha}$, G$\beta$ and spectrin and also a number of novel proteins, including clathrin, adaptin, dynamin, dynein, NSF and actin. The unexpected proteins were classified within a number of functional classes that include exocytosis, endocytosis, cytoplasmic matrix, modulators, chaperones, and cell-signaling molecules and this list was contrasted to previous reports that catalogue the synaptosome proteome. The failure to detect any postsynaptic density proteins suggests that the channel itself does not exhibit stable trans-synaptic attachments. Our results suggest that the channel is anchored to a cytoplasmic matrix related to the previously described particle web.

A Study on the Reliability Analysis for the High Precision Pneumatic Actuator within Tape Feeder (테이프 피더 내장 공압 액추에이터에 대한 신뢰성 평가에 관한 연구)

  • Choi Jin-Hwa;Jeon Byung-Cheol;Cho Myeong-Woo;Kang Sung-Min;Lee Soo-Jin
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.4
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    • pp.63-68
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    • 2006
  • This research presents the reliability analysis of the pneumatic actuator within the tape feeder that is used to transfer the correct force to linked parts during l.0E+7 cycles. First, the degradation analysis for thrust and air leakage is executed to obtain the failure data of a product based on its performance over time. Second, once the parameters has been calculated using the weibull 2-parameter distribution and MLE(Maximum Likelihood Estimation), information related to life such as reliability, failure rate, probability density function is estimated. Finally, MTTF(Mean Time To Failure) and $B_{10}$ life of actuators are calculated. MTTF means the mean life at the confidence level and $B_{10}$ life refers to the time by which 10% of the product would fail. In this study, failure causes and solutions are examined using the reliability analysis.

Prediction of ECC tensile stress-strain curves based on modified fiber bridging relations considering fiber distribution characteristics

  • Lee, Bang Yeon;Kim, Jin-Keun;Kim, Yun Yong
    • Computers and Concrete
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    • v.7 no.5
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    • pp.455-468
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    • 2010
  • This paper presents a prediction and simulation method of tensile stress-strain curves of Engineered Cementitious Composites (ECC). For this purpose, the bridging stress and crack opening relations were obtained by the fiber bridging constitutive law which is quantitatively able to consider the fiber distribution characteristics. And then, a multi-linear model is employed for a simplification of the bridging stress and crack opening relation. In addition, to account the variability of material properties, randomly distributed properties drawn from a normal distribution with 95% confidence are assigned to each element which is determined on the basis of crack spacing. To consider the variation of crack spacing, randomly distributed crack spacing is drawn from the probability density function of fiber inclined angle calculated based on sectional image analysis. An equation for calculation of the crack spacing that takes into quantitative consideration the dimensions and fiber distribution was also derived. Subsequently, a series of simulations of ECC tensile stress-strain curves was performed. The simulation results exhibit obvious strain hardening behavior associated with multiple cracking, which correspond well with test results.

Health Screening among HBV Carriers in the Korean National Health and Nutrition Examination Survey V (KNHANES V)

  • Son, Hyung Eun;Jung, Sun Jae;Shin, Aesun
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.9
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    • pp.3653-3657
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    • 2015
  • We aimed to investigate the differences in health screening, including medical checkups and cancer screening, between HBV carriers and non-carriers in the Republic of Korea. In the fifth Korean National Health and Nutrition Examination Survey (KNHANES V), conducted between 2010 and 2012, 17,865 persons who answered regarding their HBV-infection status, medical checkup history, liver cancer screening and general cancer screening within the past years were included in the final analysis. In total, 295 persons were HBV carriers. Logistic regression models were used to compare the health check-up rate between the HBV carriers and non-HBV carriers. The HBV carriers were more likely to have been screened for liver cancer [adjusted odds ratio (OR): 2.83, 95% confidence interval (95%CI): 1.90-4.21] or cancer [OR: 1.44, 95%CI: 1.04-1.99]. The HBV carriers showed a probability of receiving medical checkups that was identical to that of the non-carriers [OR: 0.99, 95%CI: 0.72-1.35]. The HBV carriers, who were at higher risk of developing chronic liver disease, were more likely to be screened for cancer, including liver cancer, than the non-HBV carriers; no difference in the rate of medical checkups was observed between the HBV carriers and non-HBV carriers.

Development of On-Line Diagnostic Expert System Algorithmic Sensor Validation (진단 전문가시스템의 개발 : 연산적 센서검증)

  • 김영진
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.2
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    • pp.323-338
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    • 1994
  • This paper outlines a framework for performing intelligent sensor validation for a diagnostic expert system while reasoning under uncertainty. The emphasis is on the algorithmic preprocess technique. A companion paper focusses on heuristic post-processing. Sensor validation plays a vital role in the ability of the overall system to correctly detemine the state of a plant monitored by imperfect sensors. Especially, several theoretical developments were made in understanding uncertain sensory data in statistical aspect. Uncertain information in sensory values is represented through probability assignments on three discrete states, "high", "normal", and "low", and additional sensor confidence measures in Algorithmic Sv.Upper and lower warning limits are generated from the historical learning sets, which represents the borderlines for heat rate degradation generated in the Algorithmic SV initiates a historic data base for better reference in future use. All the information generated in the Algorithmic SV initiate a session to differentiate the sensor fault from the process fault and to make an inference on the system performance. This framework for a diagnostic expert system with sensor validation and reasonig under uncertainty applies in HEATXPRT$^{TM}$, a data-driven on-line expert system for diagnosing heat rate degradation problems in fossil power plants.

Particle Filtering based Object Tracking Method using Feedback and Tracking Box Correction (피드백과 박스 보정을 이용한 Particle Filtering 객체추적 방법론)

  • Ahn, Jung-Ho
    • Journal of Satellite, Information and Communications
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    • v.8 no.1
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    • pp.77-82
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    • 2013
  • The object tracking method using particle filtering has been proved successful since it is based on the Monte Carlo simulation to estimate the posterior distribution of the state vector that is nonlinear and non-Gaussian in the real-world situation. In this paper, we present two nobel methods that can improve the performance of the object tracking algorithm based on the particle filtering. First one is the feedback method that replace the low-weighted tracking sample by the estimated state vector in the previous frame. The second one is an tracking box correction method to find an confidence interval of back projection probability on the estimated candidate object area. An sample propagation equation is also presented, which is obtained by experiments. We designed well-organized test data set which reflects various challenging circumstances, and, by using it, experimental results proved that the proposed methods improves the traditional particle filter based object tracking method.

Fall-Related Injury and Balance of the Elderly (노인의 낙상과 균형)

  • Kim On-Ju;Kim Tae-Sook;Bae Sung-Soo
    • The Journal of Korean Physical Therapy
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    • v.10 no.2
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    • pp.161-171
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    • 1998
  • Balance can be defined as the ability to maintain the body's center of gravity within the base of support with minimal sway. Falls occur frequently in the elderly persons by the physiological change and dysfunction with age. Injuries resulting from falls include soft tissue damage and fractures of the radius, humerus, and femoral neck other consequences of falls include decreased mobility, reduced confidence, long lies (which can give rise to hypothermia, dehydration and pneumonia), and death Risk factors for falls have beau classified as intrinsic (those related to the individual) and extrinsic(those associated with environmental features), Intrinsic factors include decreased strength, visual deficits, vestibular dysfunction, and decreased vibratory sensation in the feet. Improvement of the balance related to the increased probability for fells in the elderly persons and is important for fall preventions and improvement of the living quality ef the elderly persons

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