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Use of the Centroid Method to Estimate Volumes of Japanese Red Cedar Trees in Southern Korea
Coble, D. W.,Lee, Young-Jin The Ecological Society of Korea 2003 Journal of Ecology and Environment Vol.26 No.3
Cubic-meter volumes estimated from two proxy taper functions were compared to observed volumes of Japanese red cedar trees (Cryptomeria japonica D. Don) to evaluate accuracy and precision in the centroid method. Centroid volume estimates were also compared to volume estimates from existing whole-tree volume equations developed for another geographic region. This study found that one proxy function produced unbiased volume estimates while the other was biased. Volume estimates from the whole-tree equations were also biased. However, the volume estimates from the whole-tree equations were more precise than those from the centroid method. These results support previous studies that the centroid method can produce reliable volumes of trees when no other reliable volume equations exist.
INCORPORATING PRIOR BELIEF IN THE GENERAL PATH MODEL: A COMPARISON OF INFORMATION SOURCES
Coble, Jamie,Hines, J. W esley Korean Nuclear Society 2014 Nuclear Engineering and Technology Vol.46 No.6
The general path model (GPM) is one approach for performing degradation-based, or Type III, prognostics. The GPM fits a parametric function to the collected observations of a prognostic parameter and extrapolates the fit to a failure threshold. This approach has been successfully applied to a variety of systems when a sufficient number of prognostic parameter observations are available. However, the parametric fit can suffer significantly when few data are available or the data are very noisy. In these instances, it is beneficial to include additional information to influence the fit to conform to a prior belief about the evolution of system degradation. Bayesian statistical approaches have been proposed to include prior information in the form of distributions of expected model parameters. This requires a number of run-to-failure cases with tracked prognostic parameters; these data may not be readily available for many systems. Reliability information and stressor-based (Type I and Type II, respectively) prognostic estimates can provide the necessary prior belief for the GPM. This article presents the Bayesian updating framework to include prior information in the GPM and compares the efficacy of including different information sources on two data sets.
Incorporating Prior Belief in the General Path Model: A Comparison of Information Sources
Jamie Coble,WESLEY HINES 한국원자력학회 2014 Nuclear Engineering and Technology Vol.46 No.6
The general path model (GPM) is one approach for performing degradation-based, or Type III, prognostics. TheGPM fits a parametric function to the collected observations of a prognostic parameter and extrapolates the fit to a failurethreshold. This approach has been successfully applied to a variety of systems when a sufficient number of prognosticparameter observations are available. However, the parametric fit can suffer significantly when few data are available orthe data are very noisy. In these instances, it is beneficial to include additional information to influence the fit to conformto a prior belief about the evolution of system degradation. Bayesian statistical approaches have been proposed to includeprior information in the form of distributions of expected model parameters. This requires a number of run-to-failure caseswith tracked prognostic parameters; these data may not be readily available for many systems. Reliability information andstressor-based (Type I and Type II, respectively) prognostic estimates can provide the necessary prior belief for the GPM. This article presents the Bayesian updating framework to include prior information in the GPM and compares the efficacyof including different information sources on two data sets.
A Mixed-effects Height-Diameter Model for Pinus densiflora Trees in Gangwon Province, Korea
Lee, Young Jin,Coble, Dean W.,Pyo, Jung Kee,Kim, Sung Ho,Lee, Woo Kyun,Choi, Jung Kee Korean Society of Forest Science 2009 한국산림과학회지 Vol.98 No.2
A new mixed-effects model was developed that predicts individual-tree total height for Pinus densiflora trees in Gangwon province as a function of individual-tree diameter (cm). The mixed-effects model contains two random-effects parameters. Maximum likelihood estimation was used to fit the model to 560 height-diameter observations of individual trees measured throughout Gwangwon province in 2007 as part of the National Forest Inventory Program in Korea. The new model is an improvement over fixed-effects models because it can be calibrated to a local area, such as an inventory plot or individual stand. The new model also appears to be an improvement over the Forest Resources Evaluation and Prediction Program for the ten calibration trees used in this study. An example is provided that describes how to estimate the random-effects parameters using ten calibration trees.
Maintenance-based prognostics of nuclear plant equipment for long-term operation
Zachary Welz,Jamie Coble,Belle Upadhyaya,Wes Hines 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.5
While industry understands the importance of keeping equipment operational and well maintained, theimportance of tracking maintenance information in reliability models is often overlooked. Prognosticmodels can be used to predict the failure times of critical equipment, but more often than not, thesemodels assume that all maintenance actions are the same or do not consider maintenance at all. Thisstudy investigates the influence of integrating maintenance information on prognostic model predictionaccuracy. By incorporating maintenance information to develop maintenance-dependent prognosticmodels, prediction accuracy was improved by more than 40% compared with traditional maintenanceindependent models. This study acts as a proof of concept, showing the importance of utilizing maintenance information in modern prognostics for industrial equipment.
Integrated Biosensor for Rapid and Point-of-Care Sepsis Diagnosis
Min, Jouha,Nothing, Maria,Coble, Ben,Zheng, Hui,Park, Jongmin,Im, Hyungsoon,Weber, Georg F.,Castro, Cesar M.,Swirski, Filip K.,Weissleder, Ralph,Lee, Hakho American Chemical Society 2018 ACS NANO Vol.12 No.4
<P>Sepsis is an often fatal condition that arises when the immune response to an infection causes widespread systemic organ injury. A critical unmet need in combating sepsis is the lack of accurate early biomarkers that produce actionable results in busy clinical settings. Here, we report the development of a point-of-care platform for rapid sepsis detection. Termed IBS (integrated biosensor for sepsis), our approach leverages (i) the pathophysiological role of cytokine interleukin-3 (IL-3) in early sepsis and (ii) a hybrid magneto-electrochemical sensor for IL-3 detection. The developed platform produces test results within 1 h from native blood samples and detects IL-3 at a sensitivity of <10 pg/mL; this performance is >5-times faster and >10-times more sensitive than conventional enzyme-linked immunoadsorbent assays, the current gold standard. Using clinical samples, we show that elevated plasma IL-3 levels are associated with high organ failure rate and thus greater risk of mortality, confirming the potential of IL-3 as a sepsis diagnostic biomarker. With further system development (<I>e</I>.<I>g</I>., full automation, data security measures) and rigorous validation studies, the compact and fast IBS could be a practical clinical tool for timely diagnosis and proactive treatment of sepsis.</P> [FIG OMISSION]</BR>
Plutonium mass estimation utilizing the ( α ,n) signature in mixed electrochemical samples
Stephen N. Gilliam,Jamie B. Coble,Braden Goddard 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.6
Quantification of sensitive material is of vital importance when it comes to the movement of nuclear fuelthroughout its life cycle. Within the electrorefiner vessel of electrochemical separation facilities, the taskof quantifying plutonium by neutron analysis is especially challenging due to it being in a constantmixture with curium. It is for this reason that current neutron multiplicity methods would prove ineffective as a safeguards measure. An alternative means of plutonium verification is investigated thatutilizes the (a,n) signature that comes as a result of the eutectic salt within the electrorefiner. This is doneby utilizing the multiplicity variable a and breaking it down into its constituent components: spontaneous fission neutrons and (a,n) yield. From there, the (a,n) signature is related to the plutonium contentof the fuel