IEEE Journal on Selected Areas in Communications, 1997
Communication networks design is becoming increasingly complex, involving making networks more us... more Communication networks design is becoming increasingly complex, involving making networks more usable, affordable, and reliable. To help reduce this complexity, we have proposed, END, an Expert Network Designer for configuring, modeling, simulating, and evaluating large structured computer networks, employing artificial intelligence, knowledge representation and network simulation tools. In this paper, we present a neural network/knowledge acquisition machine-learning approach to improve END's efficiency in solving the network design problem and to extend its scope to acquire new networking technologies, learn new network design techniques, and update the specifications of existing technologies.
2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), 2015
In this paper, we present a differential current-mode pulsed flip-flop (DCMPFF) for low-power clo... more In this paper, we present a differential current-mode pulsed flip-flop (DCMPFF) for low-power clock distribution using a representative 45nm CMOS technology. Experimental results show that the DCMPFF has 47% faster clock-to-output (CLK-Q) delay than a traditional voltage-mode (VM) pulsed flip-flop. When the DCMPFF is integrated with a differential currentmode clock distribution, the differential technique saves 62% and 17% power compared to a conventional VM and a previous current-mode (CM) clock network, respectively.
IEEE Journal on Selected Areas in Communications, 1997
Communication networks design is becoming increasingly complex, involving making networks more us... more Communication networks design is becoming increasingly complex, involving making networks more usable, affordable, and reliable. To help reduce this complexity, we have proposed, END, an Expert Network Designer for configuring, modeling, simulating, and evaluating large structured computer networks, employing artificial intelligence, knowledge representation and network simulation tools. In this paper, we present a neural network/knowledge acquisition machine-learning approach to improve END's efficiency in solving the network design problem and to extend its scope to acquire new networking technologies, learn new network design techniques, and update the specifications of existing technologies.
2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), 2015
In this paper, we present a differential current-mode pulsed flip-flop (DCMPFF) for low-power clo... more In this paper, we present a differential current-mode pulsed flip-flop (DCMPFF) for low-power clock distribution using a representative 45nm CMOS technology. Experimental results show that the DCMPFF has 47% faster clock-to-output (CLK-Q) delay than a traditional voltage-mode (VM) pulsed flip-flop. When the DCMPFF is integrated with a differential currentmode clock distribution, the differential technique saves 62% and 17% power compared to a conventional VM and a previous current-mode (CM) clock network, respectively.
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Papers by Hany Fahmy