By Luca Cardelli (auth.), J. W. Schmidt, S. Ceri, M. Missikoff (eds.)
This quantity represents the result of the overseas convention on "Extending Database Technology", held in Venice, Italy, in March 1988. It comprises the key dimensions into which database know-how is presently being driven through the wishes of latest purposes and pulled via the probabilities of novel advancements in and platforms structure. the 2 huge parts coated are: prolonged database semantics: information types and knowledge forms, databases and common sense, advanced items, and professional method methods to databases; and new architectures and elevated database structures help: novel transaction versions, info distribution and replication, database management and entry potency. for the reason that an expanding volume of database learn and improvement is finished via foreign cooperation and inside of joint initiatives (ESPRIT, EUREKA, commercial cooperations), a considerable a part of the e-book is devoted to representing a few dozen complex database tasks on information- and knowledge-based structures and on disbursed database purposes by means of their goals, prestige, and results.
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Extra resources for Advances in Database Technology—EDBT '88: International Conference on Extending Database Technology Venice, Italy, March 14–18, 1988 Proceedings
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18–23, 2006. c Springer-Verlag Berlin Heidelberg 2006 Configurable Embedded Core for Controlling Electro-Mechanical Systems 2 19 Characteristics of Mechanical System and Control Loop By looking at a DC motor as a frequency oscillator, which generates a periodic signal in its speed sensor with frequency proportional to its input, it can be directly integrated in a Phase-Locked Loop (PLL) for speed control purpose [1]. The PLL scheme, presented in figure 1(a), is a non-linear loop that results from multiplying the reference and the output signals, to obtain the phase error of the two signals.
A low-pass filter smoothly actuates 20 R. Piedade and L. Sousa (a) (b) (c) (d) Fig. 2. a) and c) Mechanical systems of 1st and 2nd example respectively. b) and d) sensor signals spectrums of 1st and 2nd example respectively. the PWM output, adjusting the gain-pole of the loop [5], reaching synchronism, as depicted in figure 2(d). 3 Embedded Control Core The Control core was described in VHDL and was implemented in a SpartanII300e FPGA [2]. PLL units for controlling the motors are accomplished in this configurable core, being the sensors signals sampled and the references signals generated on it.
Ros, O. J-M D. Coenen, “Real-Time spiking neural network : an adaptive cerebellar model,” Lecture Notes in Computer Science, vol. 3512, pp. 136-144, 2005. 15. Xilinx, 1994-2003. [Online]. M. Ortigosa1, A. Ca˜ nas1 , R. Rodr´ıguez1, J. D´ıaz1 , and S. Mota2 1 Dept. es 2 Dept. es Abstract. We present the hardware implementation of partially connected neural network that is defined as an extended of the MultiLayer Perceptron (MLP) model. We demonstrate that partially connected neural networks lead to a higher performance in terms of computing speed (requiring less memory and computing resources).