3854 research outputs found
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11/14/2018: Course Change Form CS 465
No full textThe course has been updated in support of the new data science graduate progra
11/28/2018: Course Change Form MATH 627
No full textThis is a required course for candidates for the “Master of Science in Data Science” program. It provides necessary background in probability to study statistical analysis methods and modeling for data science
Kettering University accepts AutoDrive Challenge at SAE World Congress
No full textPictured L-R: Dr. Scott Reeve, Provost James Zhang, ... , President Robert McMahan, Dr. Diane Peters, ...https://digitalcommons.kettering.edu/autodrive_gallery/1001/thumbnail.jp
A catastrophic queueing model with delayed action
No full textA queueing model with catastrophes and delayed action is studied in this paper. This delayed action could be in the form of protecting or removing all the customers that are in the system based on the outcome of two random clocks which are simultaneously activated upon the occurrence of a catastrophic event. Assuming the customers to arrive according to a versatile Markovian point process to a single server system, the service times to be of phase type, and all other underlying random variables to be exponentially distributed, we use matrix-analytic methods to study the delayed catastrophic model in steady-state. Needed expressions for the number in the system as well as the waiting time distributions are derived along with a discussion on some special cases of this model. Detailed illustrative examples are presented
Proposal - SAE AutoDrive Challenge
No full textKettering University is well prepared to be a participant in the SAE/GM AutoDrive Challenge because of our strong automotive heritage and focus, unique automotive research facilities, student interest in automotive careers, and dedicated team of faculty to advise and mentor the student team.https://digitalcommons.kettering.edu/autodrive_pubs/1001/thumbnail.jp
P^3: A Practice Focused Learning Environment
No full textThere has been an increased focus on the integration of practices into physics curricula, with a particular emphasis on integrating computation into the undergraduate curriculum of scientists and engineers. In this paper, we present a university-level, introductory physics course for science and engineering majors at Michigan State University (MSU) called (Projects and Practices in Physics) that is centered around providing introductory physics students with the opportunity to appropriate various science and engineering practices. The design integrates computation with analytical problem solving and is built upon a curriculum foundation of problem-based learning, the principles of constructive alignment and the theoretical framework of community of practice. The design includes an innovative approach to computational physics instruction, instructional scaffolds, and a unique approach to assessment that enables instructors to guide students in the development of the practices of a physicist. We present the very positive student related outcomes of the design gathered via attitudinal and conceptual inventories and research interviews of students\u27 reflecting on their experiences in the classroo
A Novel Method for Identification of Lithium-ion Battery Equivalent Circuit Model Parameters Considering Electrochemical Properties
No full textThis paper proposes a novel parameter identification method for the lithium-ion (Li-ion) battery equivalent circuit model (ECM) considering the electrochemical properties. An improved pseudo two-dimension (P2D) model is established on basis of partial differential equations (PDEs), since the electrolyte potential is simplified from the nonlinear to linear expression while terminal voltage can be divided into the electrolyte potential, open circuit voltage (OCV), overpotential of electrodes, internal resistance drop, and so on. The model order reduction process is implemented by the simplification of the PDEs using the Laplace transform, inverse Laplace transform, Pade approximation, etc. A unified second order transfer function between cell voltage and current is obtained for the comparability with that of ECM. The final objective is to obtain the relationship between the ECM resistances/capacitances and electrochemical parameters such that in various conditions, ECM precision could be improved regarding integration of battery interior properties for further applications, e.g., SOC estimation. Finally simulation and experimental results prove the correctness and validity of the proposed methodology