In systems biology, experimentally measured parameters are not always available, necessitating the use of computationally based parameter estimation. In order to rely on estimated parameters, it is critical to first determine which parameters can be estimated for a given model and measurement set. This is done with parameter identifiability analysis. A kinetic model of the sucrose accumulation ...

Cells of solid malignancies generally adapt to entire lack of oxygen. Hypoxia induces the expression of several genes, which allows the cells to survive. For DNA transcription, it is necessary that DNA structure is loosened. In addition to structural characteristics of DNA, its epigenetic alterations influence a proper DNA transcription. Since histones play a key role in epigenetics, changes in...

Neuroblastoma (NBL) originates from undifferentiated cells of the sympathetic nervous system. Chemotherapy is judged to be suitable for successful treatment of this disease. Here, the influence of histone deacetylase (HDAC) inhibitor valproate (VPA) combined with DNA-damaging chemotherapeutic, ellipticine, on UKF-NB-4 and SH-SY5Y neuroblastoma cells was investigated. Treatment of these cells wi...

Non Linear State Estimation of a Multi Axis Surgical Robot Srikrishnan Ramadurai Chair of the Supervisory Committee: Professor Blake Hannaford Electrical Engineering Minimally invasive surgical robots often have cable driven power transmission mechanisms. An example is the RAVEN surgical robot developed at the Biorobotics Laboratory, University of Washington for research on robotic surgery. The...

The evolution of performance degradation has become a major obstacle to the long-life operation Solid Oxide Fuel Cell (SOFC) system. feasibility employing resistance assess State Health (SOH) is proposed and verified. In addition, real-time Unscented Kalman Filter (UKF) based SOH estimation method further eliminate disturbance calculating directly utilizing measurement electric balance model. r...

The unscented Kalman filter (UKF) is formulated for the continuous-discrete state space model. The exact moment equations are solved approximately by using the unscented transform (UT) and the measurement update is obtained by computing the normal correlation, again using the UT. In contrast to the usual treatment, the system and measurement noise sequences are included from the start and are n...

In-motion alignment of a SDINS/GPS integrated system, determining the angular relationship between the navigation frame and the body frame is a necessary process. This paper describes the in-motion alignment procedure for a low-cost GPS/INS integrated system using the Unscented Kalman Filter (UKF) and Central Difference Kalman Filter (CDKF). The UKF and CDKF are used to implement the in-motion ...

In this paper, an unscented Kalman filter (UKF) for curvilinear motions in an interacting multiple model (IMM) algorithm to track a maneuvering vehicle on a road is investigated. Driving patterns of vehicles on a road are modeled as stochastic hybrid systems. In order to track the maneuvering vehicles, two kinematic models are derived: A constant velocity model for linear motions and a constant...

This paper proposes a parameter estimation method for improving the navigation accuracy of an unmanned underwater vehicle, which is equipped with a doppler, a gyro, a depth sensor and a GPS, using an Unscented Kalman Filter (UKF). The error sources are analyzed, and then a kinematical model is constructed accordingly. Using an UKF, the doppler scaling factor and the rotational alignment offset ...