0000000000323191

AUTHOR

Junwei Lu

showing 2 related works from this author

Full Wave Solution for Intel CPU With a Heat Sink for EMC Investigations

2010

A CPU with a heat sink (e.g. Intel Pentium 4 and Intel Pentium dual core) is a challenging problem for EMC analysis. A Very Large Scale Integrated (VLSI) device was modelled using the Finite Element Method (FEM) frequency domain solver to obtain a 3D full wave solution. The electromagnetic (EM) radiation emitted from these high power microelectronic circuits connected to a heat sink was found to have resonant frequencies around 2.4 GHz and 5 GHz with reflection coefficients less than -19 dB and -8 dB respectively. These resonant frequencies are very close to the operating frequency of both IEEE and Bluetooth wireless communication systems. This paper proposes a new benchmark model based on …

PhysicsVery-large-scale integrationbusiness.industryElectromagnetic compatibilityElectrical engineeringPentiumHeat sinkElectronic Optical and Magnetic Materialslaw.inventionBluetoothlawFrequency domainHardware_INTEGRATEDCIRCUITSDual-voltage CPUBenchmark (computing)Electrical and Electronic EngineeringbusinessIEEE Transactions on Magnetics
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Distinguishing Onion Leaves from Weed Leaves Based on Segmentation of Color Images and a BP Neural Network

2006

A new algorithm to distinguish onion leaves from weed leaves in images is suggested. This algorithm is based on segmentation of color images and on BP neural network. It includes: discarding soil for conserving only plants in the image, color image segmentation, merging small regions by analyzing the frontier rates and the averages of color indices of the regions, at last a BP neural network is used to determine if the small regions belongs to onion leaf or not. The algorithm has been applied to many images and the correct identifiable percents for onion leaves are between 80%~ 90%.

Artificial neural networkbusiness.industryColor imageComputer scienceComputer visionImage processingSegmentationArtificial intelligenceImage segmentationbusinessWeed
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