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This The new technology for sensors and wireless sensor networks has led to various fields of application. Environmental parameters monitoring, safety of persons and property, traffic control or some analyses into buildings to determine the cause of various problems, are some examples that highlights the ability of wireless sensors network to be deployed on a very short term basis. Wireless sensors...
Goal of this paper is to present some experimental results obtained in the process of modeling and implementation of a smart sensors network, system that can be integrated in an emergency communication network. The presented configuration of this system, allows a multiple possibilities for data transmission and analogue (voice) communication. Intelligent embedded systems are considered as one of the...
A wireless local area network infrastructure, consisting of a couple of tens of access points exists in each office building, university or even block of flats. These can be used for indoor localization purposes without interfering with network activities. In this paper a correlation based method for indoor localization is presented. No specific infrastructure is needed except for the existing wireless...
our goal is to achieve room-level accuracy indoor localization of a target, using already deployed WLAN infrastructure, but without actually interfering with the network. The target device only performs passive scans of the existing access points. The currently used methods targets maximum precision and therefore use computationally intensive algorithms. In this paper, a simple covariance based method...
This paper presents the hardware-software co-design platform based on FPGA developed for fast prototyping of embedded systems using hardware modules that can be easily connected and “driver” modules that can manage I/O devices and sensors basic behavior. Having this framework, adding of a new I/O peripheral needs only design and synthesis of an application specific VHDL or software module. Using neural...
This paper presents a hardware implementation of a multilayer feed-forward neural network based on back-propagation. The implementation is assumed to design and implement modules that emulate FF-BP functions with computing blocks of the predefined System Generator library and user defined blocks integrated in the System Generator library. The main application of the developed structure is an artificial...
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