We have studied the application of diierent classiication algorithms in the analysis of simulated high energy physics data. Whereas Neural Network algorithms have become a standard tool for data analysis, the performance of other classiiers such as Support Vector Machines has not yet been tested in this environment. We chose two diierent problems to compare the performance of a Support Vector M...

in ordet to investigate economic efficiency of five cultural systems in sugar beet crop, including high input, medium input  low input , high  and medium inputs without 3 times irrigation after emergence, an experiment was conducted over  two years  (2002-2003) in agricultural and natural resources research center of khorasan. these systems were analysed by marginal analysis and  linear program...

Instruction schedulers for superscalar and VLIW processors must expose suucient instruction-level parallelism to the hardware in order to achieve high performance. Traditional compiler instruction scheduling techniques typically take into account the constraints imposed by all execution scenarios in the program. However, there are additional opportunities to increase instruction-level paralleli...

This paper presents a new multiple-input single ?output voltage-mode universal biquad filter based on multiple?input operational transconductance amplifiers (MI-OTA). work demonstrates that the OTA?based can provide more filtering responses and other benefits, compared to conventional one. The provides electronic orthogonal control of natural frequency quality factor. Furthermore, two-phase qua...

Somatosensory stimuli guide and shape behavior, from immediate protective reflexes to longer-term learning higher-order processes related pain touch. However, somatosensory inputs are challenging control in awake mammals due the diversity nature of contact stimuli. Application cutaneous is currently limited relatively imprecise methods as well subjective behavioral measures. The strategy we pre...