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Abstract. Electrocardiograph (ECG) monitoring system is one of the diagnostic tools which can help in reduce the risk of heart attack. A cardiologist may be able to determine heart condition from the ECG signal that recorded from subject. The purpose was to design an ECG monitoring system which consists of ECG circuit and digital signal processing system to deny the unwanted signal. In general, the ECG signal is nature weak and only around 1mV amplitude. Therefore filter and amplifier circuits were designed into 3 stages with a total gain of 1000 to bring the signal to around 1V. Circuit designed included of instrumentation amplifier, bandpass filter and notch filter. The frequency bandwidth of ECG is between 0.05Hz until 100Hz. Schematic circuit was tested by software simulation before proceeding to hardware implementation. Simulation analysis was done by using Software Proteus 8 Professional while the further signal processing was done in MATLAB software environment. A PQRST ECG waveform can be seen clearly after digital filtering stage in MATLAB environment. Digital signal processing in MATLAB software included of pre-filtering, Fast Fourier transform and peak detection. As conclusion, the time interval between peaks can be determined automatically which can provide useful information in clinical aspect.

Heterogeneous and hybrid smart grid communication network is a network that comprises of different communication mediums and technologies.Performance evaluation is one of the main concerns in smart grid communication system. In any smart grid communication implementation, to determine the performance factor of the network, a testing of an end-to-end process flow is required. Therefore, an effective testing tool plays a crucial role in evaluating the performance of smart grid communications. Ping is currently one of the most widely used tools. In this paper, a customized ping utility, called Smart Grid Ping, is introduced. This utility provides random ping intervals with user selectable distribution, allowing network administrators to test the reachability and availability of various applications in smart grid communication system.

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Mobile ad hoc networks (MANETs) are consists of mobile devices connected wirelessly. Mobile nodes in MANET are applicable of routing functionality, where messages are forwarded in a multi-hop fashion. In such a communication scheme a routing protocol play an important role in the network performances. The wireless connectivity and node mobility in MANET networks contributes in rapid topological changes, which brings the need for a channel aware routing protocol. To overcome this problem, many channel aware routing metrics are proposed in the literature, however these routing metrics are either utilizing the shared bandwidth to measure the link quality, or they implies less awareness to the link quality. This paper proposed a SNR-based routing metric for Dynamic Sequence Distance Vector (DSDV) routing protocol. This paper starts by investigate and compare the performance among common routing protocols in MANET. Secondly a cross layer approach is proposed for the new routing metric. Simulation scenarios are used for the work of the paper. The new metrics is implemented in one of the MANET common routing protocols DSDV module in MONET++. The results show that SNR-based DSVD improves the performance of the MANET in terms of throughput and delay.