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Nowadays as low carbon economy is greatly advocated worldwide, the electricity consumption caused by a huge number of embedded computer systems is gaining more and more attention. Different instruction set, software algorithm and high-level software architecture can significantly affect the system energy consumption. In this paper, we first analyze the relations between software power consumption...
In this paper, a kind of second order diagonal recurrent neural network (SDRNN) identification method based on dynamic back propagation(DBP) algorithm with momentum term is proposed. This identification method overcomes the disadvantages such as slow convergent speed and trapping the local minimum. The SDRNN is similar as diagonal recurrent neural network(DRNN) in the structure, two tapped delays...
The traditional transaction model and commit method cannot meet the requirement of engineering design tasks which possess the properties of long duration, cooperation, heuristic, distribution, etc. Aimed at the properties of engineering design tasks, this paper presents a hierarchy transaction model with semantic properties (called HTMSP). The HTMSP adopts tree hierarchy structure and integrates semantic...
The study includes the correlation dimension and the largest Lyapunov exponent of sea clutter based on real radar data obtained with IPIX X-band polarimetric coherent radar, which proved that sea clutter has chaotic characteristics. A method of prediction about sea clutter signal based on chaotic neural network and theory of phase-space reconstruction is established, which has a in-depth analysis...
Energy is a limited resource in wireless sensor networks. The reduction of energy consumption is crucial to prolong the lifetime of wireless sensor networks. Dynamic power management (DPM), which is to reduce power dissipation by putting the sensor node into different states, should be carefully taken into account in wireless sensor networks. In this paper, a new method of DPM is proposed. In this...
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