3854 research outputs found
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An Operations Management Perspective on Employee Training and Workforce Planning from Part V - Workplace Learning from Other Lenses
No full textSimulation of a Queueing Model Useful in Crowdsourcing
No full textIn this paper we study a multi-server queueing model in the context of crowdsourcing useful in service sectors. There are two types of arrivals to the system such that one group of customers after getting service from the system may serve (with a certain probability) another group. Through simulation we point out, even for a small value of this probability, the significant advantage in considering crowdsourcing by offering more traffic load (through increasing the rate of online customers without violating the stability condition) to the system resulting in more customers served (which in turn increasing the revenues when cost/profits are incorporated). Also, the role of correlation, especially a positive one, present in the inter-arrival times in the system performance measures is highlighted
Kettering University - Final Report - 11/13/2017
No full textFinal Report from the HLC visiting team to Kettering University after the site visit on September 11 -12, 2017. Interim monitoring is recommended: focused visit due 1/31/2020 on faculty workload policy and interim report due 7/2/18 on development of a comprehensive credit hour policy for all degree levels and all learning formats
Unveiling of the Chevy Volt 03
No full textThis is an AutoDrive unveiling event and speaking is Dr. Robert K. McMahan Jr., President of Kettering University from the side view.https://digitalcommons.kettering.edu/autodrive_gallery/1011/thumbnail.jp
Liquid-Phase Microextraction
No full textLiquid-phase microextraction (LPME) has emerged over the last 15–20 years as one of the simplest and most easily implemented techniques of sample preparation in the determination of organic analytes in a variety of matrices. This article summarizes the historical developments and various modes of the technique, method development, recent trends, and selected applications
A Modular-Designed Three-Phase High-Efficiency High-Power-Density EV Battery Charger Using Dual/Triple-Phase-Shift Control
No full textIn this paper, an enhancement-mode GaN highelectron mobility transistor (HEMT)-based 7.2-kW single-phase charger was built. Connecting three such single-phase modules to the three-phase grid, respectively, generates a three-phase ~22-kW charger with the\u3e 97% efficiency and \u3e 3.3 - kW/L power density, superior to present Si-device-based chargers. In addition to GaN HEMTs with fast-switching transitions yielding high efficiency, the proposed charger employs the dc/dc stage to control the power factor and power delivery simultaneously, yielding little dc-bus capacitance and thereby high power density. To secure the soft switching for all switches within full voltage and power ranges, a variable switching frequency control with dual phase shifts was adopted at high power, and a triple phase shift was employed to improve the power factor at low power. Both control strategies accommodated the wide input range (80-260 VAC) and output range (200-450 VDC). A closed-loop control for the three-phase charger was realized to minimize the output current ripple and balance the power among three single-phase modules. Experimental results validated this design