1,721,410 research outputs found

    Adopting smart metering RF networks for particulate matter distributed measurements

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    Pollution represents one of the major problems of modern cities. Typical indices of extent of this unhealthy phenomenon are the concentration of oxides and particulate matters in the air. Namely Particulate Matter (PM) is responsible for breathing problems and even lung diseases. As a consequence, numerous suitable solutions have been thought in the fields of sensing devices and wireless networks. In the paper, a solution is proposed which aims to use for pollution monitoring the same Advanced Metering Infrastructure (AMI) that is the backbone of smart city projects where measurements of private consumption or public services are called to be smart. In particular in those urban areas where smart meters, concentrators and central access systems come to life, suitable PM sensors based devices can be added to either water or gas smart meters, in order to exploit their widespread deployment. The main issues and experimental results regarding the inclusion of some smart PM sensors in a 169 MHz network based on wM-Bus for data collection from smart meters and sensors are discussed in terms of battery energy saving and data storage

    A decoding algorithm for terminated convolutional codes over the blockwise noncoherent Channel

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    A decoding algorithm for convolutional codes (CCs) is proposed to eliminate the need for pilot symbols in short-packet communication systems operating over a blockwise noncoherent channel, i.e., a channel that introduces a random phase rotation of the transmitted codeword block. The algorithm is tailored to M-PSK modulations and applied to zero-tail terminated CCs. It works by implementing a three-step Viterbi-based noncoherent decoder, where the performance of a first blind decoding stage is enhanced through a code-aided phase estimation that allows for correction of previous errors. In this framework, it provides a gain of approximately 0.5 dB compared to a pilot-aided decoder, with a manageable increase in complexity. Furthermore, numerical results show a performance within a few tenths of a dB from finite-length achievability bounds with both BPSK and QPSK modulations

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Heart failure with reduced ejection fraction and monogenic dilated cardiomyopathy: Distinct diseases? Insights from randomized controlled trials

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    The genetic component of heart failure with reduced ejection fraction (HFrEF) is traditionally considered as part of the non-ischaemic aetiology. Dilated cardiomyopathy (DCM) has been recognized as the most heterogeneous amongst the classical cardiomyopathy phenotypes, with >250 genes which have been causally related with the disease
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