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Predicting application performance for any hardware change is challenging as multiple factors like environment, application architecture, workload etc also need to be considered. Industry benchmarks that provide means to compare hardware performance however lack in giving insight into the applications' service levels. LQN models help in performance analysis of multi-tiered, distributed applications;...
A FinFET VCO and a differential LNA operating at 17 GHz are presented. The LNA contains on-chip input and output baluns, the input balun for the conversion of the single-ended antenna signal, and it achieves a gain of 9.4 dB and a noise figure of 6.6 dB when the output balun is deembedded; the power consumption is 26 mW from a 1 V supply. The VCO oscillates between 15.3 - 17.1 GHz and reaches a phase...
A FinFET VCO and a differential LNA operating at 17 GHz are presented. The LNA contains on-chip input and output baluns, the input balun for the conversion of the single-ended antenna signal, and it achieves a gain of 9.4 dB and a noise figure of 6.6 dB when the output balun is deembedded; the power consumption is 26 mW from a 1 V supply. The VCO oscillates between 15.3 - 17.1 GHz and reaches a phase...
Privacy issues prevent network intrusion detection data sets from being freely shared among researchers. To address this, synthetic data sets such as the DARPA 98 and 99 datasets were developed to train, test and benchmark network intrusion detection systems (NIDS) [6]. The use of such synthetic datasets can create problems when researchers attempt to extrapolate performance to real-world situations.
The popularity of iris biometric has grown considerably over the past two to three years. It has resulted in the development of a large number of new iris encoding and processing algorithms. Since there are no publicly available large-scale and even medium-size data bases, neither of the newly designed algorithms has undergone extensive testing. The designers claim exclusively high recognition performance...
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