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Jun Fan

Researcher at Missouri University of Science and Technology

Publications -  505
Citations -  7033

Jun Fan is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Printed circuit board & Equivalent circuit. The author has an hindex of 36, co-authored 482 publications receiving 5641 citations. Previous affiliations of Jun Fan include Ulsan National Institute of Science and Technology & University of Missouri.

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Proceedings ArticleDOI

Diagnosing Virtualized Hadoop Performance from Benchmark Results: An Exploratory Study

TL;DR: A performance diagnostic methodology that integrates statistical analysis from different layers, and a heuristic performance diagnostic tool which evaluates the validity and correctness of virtualized Hadoop by analyzing the job traces of popular big data benchmarks are proposed.
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EMI Modeling for Antenna-Chassis System Using Characteristic Mode Analysis

TL;DR: In this article, characteristic mode analysis is applied into the vehicle body to better understand the coupling mechanism of the vehicle modes and the antenna-chassis coupling mechanism, and how to excite a specific mode is also investigated by looking at the eigencurrent and eigencharge distributions.
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Characterizing Radiation Physics and EMI Mitigation for Heatsinks

TL;DR: In this article, a characteristic mode (CM) method is proposed to identify the radiation hot spots for heatsink, and to explain the radiation phtsics, by applying integral-equation (IE) based method and characteristic mode analysis, the radiation modal from each part of the structure can be quantified using the current.
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Characterizing EMI radiation physics corresponding to distributive geometry features using the PEEC method

TL;DR: In this article, the authors developed a new approach based on PEEC to calculate the distributed sources for radiation and the couplings, which can be used to physically interpret and predict which features and structures have a small or a large impact on radiation.
Proceedings ArticleDOI

An Efficient Approach to Find the Truncation Frequency for Transmission Line-Based Dielectric Material Property Extraction

TL;DR: A novel binary fitting-based method is proposed to find the truncation frequency of S-parameter data at a frequency accurately and efficiently by using a binary search algorithm and physics-based fitting method.