1,720,976 research outputs found
CHARACTERIZATION OF ANOMALOUSLATCH-UP EFFECTS BY MEANS OF IR MICROSCOPY AND SPICE SIMULATION
SPICE SIMULATION OF LATCH-UP ANOMALOUS EFFECTS OBSERVED BY ELECTRICAL MEASUREMENTS AND IR MICROSCOPY
Thermally Induced Voltage Alteration (TIVA) applied to ESD Induced Failures
Thermally Induced Voltage Alteration (TIVA) and Seebeck Effect Imaging (SEI) techniques can be successfully used for characterization of ESD protection structures submitted to Electro Static Discharge step stress and for IC's failure analysis.
In this paper, we show two case studies where the techniques proved useful for the localization of an abnormal resistance path on a test pattern as well as of an ESD induced leakage path on a device failing during incoming acceptance tests. Scanning Laser Beam based techniques overcome also some limitations of emission microscopy analysis, largely used for ESD failure localization
CORRELATION BETWEEN LATCH-UP HYSTERESIS AND WINDOW EFFECTS IN COMMERCIAL CMOS IC'S BY MEANS OF IR MICROSCOPY AND SCANNING LASER MICROSCOPY
CORRELATION BETWEEN ANOMALOUS LATCH-UP I-V CHARACTERISTICS AND OBSERVATION OF CURRENT DISTRIBUTION BY IR MICROSCOPY IN CMOS IC'S
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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