184 research outputs found

    Modeling of failure probability for reliability and component reuse of electric and electronic equipment

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    none2noRecently, the concept of "circular economy", the design for end-of-life, the problem of reduction of waste of electronic and electrical equipment are becoming more and more important. The design of electronic systems for end-of-life considers the possibility of their repair, reuse and recycle, in order to reduce waste. This work proposes a new accurate model of failure probability density, that includes the failure probability of a used component in new equipment. The model has been tested, in conjunction with the International Electrotechnical Commission and Telcordia standard, in real industrial production. Eight years of historical faults have been analyzed and used to derive the fault models of the components. The model and analysis have been used for the analysis of real electronic products. The reuse of components could make an improvement to the reliability of the equipment.openConti M.; Orcioni S.Conti, M.; Orcioni, S

    Methodology for Modeling and Comparing Video Codecs: HEVC, EVC, and VVC

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    Online videos are the major source of internet traffic, and are about to become the largest majority. Increasing effort is aimed to developing more efficient video codecs. In order to compare existing and novel video codecs, this paper presents a simple but effective methodology to model their performance in terms of Rate Distortion (RD). A linear RD model in the dB variables, Peak Signal-to-Noise Ratio (PSNR) and Bitrate (BR), easily allows us to estimate the difference in PSNR or BR between two sets of encoding conditions. Six sequences from the MPEG test set with the same resolution, encoded at different BR and different Quantization Parameters, were used to create the data set to estimate each RD model. Three codecs (HEVC, EVC, and VVC) were compared with this methodology, after estimating their models. Fitting properties of each model and a performance comparison between the models are finally shown and discussed

    Diagonal Kernel Point Estimation of nth-Order Discrete Volterra-Wiener Systems

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    The estimation of diagonal elements of a Wiener model kernel is a well-known problem. The new operators and notations proposed here aim at the implementation of efficient and accurate nonparametric algorithms for the identification of diagonal points. The formulas presented here allow a direct implementation of Wiener kernel identification up to the th order. Their efficiency is demonstrated by simulations conducted on discrete Volterra systems up to fifth order

    Revealing Spectrum Features of Stochastic Neuron Spike Trains

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    none4noopenOrcioni, Simone; Paffi, Alessandra; Apollonio, Francesca; Liberti, MicaelaOrcioni, Simone; Paffi, Alessandra; Apollonio, Francesca; Liberti, Micael

    Smart-Future-Living-Bodensee

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    All the papers in this book correspond to works presented during the workshop ”Smart-Future-Living-Bodensee”, held in Konstanz, Germany, on November 24, 201

    Review of Characteristics of Behaviour Change among Children at Risk in Juvenile Rehabilitation Centres in Nairobi County, Kenya

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    The aim of this study was to review characteristics of behaviour change among children at risk in juvenile rehabilitation centres within Nairobi County, Kenya. The target population was all the children and managers of Juvenile rehabilitation Centres in Nairobi County. It consisted of 380 boys, 160 girls, 8 managers in Kabete and Getathuru and 4 managers in Dagorreti rehabilitation Centre, making a total of 552 respondents.  Children at risk in Juvenile rehabilitation Centres within Nairobi County were sampled using probability and non-probability sampling methods. To obtain a practicable sample from the target population, convenience, purposive, stratified random and systematic random sampling methods were used respectively. Questionnaires, interview schedules and focus groups were used in the study as tools for data gathering. Data gathered was entered, coded and analyzed using inferential statistics and SPSS. The qualitative data was organized, analyzed and reported into emerging themes. The study established that rehabilitation of children at risk in Juvenile rehabilitation Centres was not sufficiently addressed and it was only those children with severe and profound cases whose misbehaviours transformed to moderate levels. Educationists were left out during assessment, classification and in general, the behaviour change process despite their rich expertise in rehabilitation. The researcher recommended a multidisciplinary approach in behaviour change process. That is in Educational Assessment and classification of children at risk to specifically cater for the Children’s special Needs in Education. That the government of Kenya moves all the Juvenile Rehabilitation Centres from Ministry of Labour and Social Services and be placed under the Ministry of Education which has adequate personnel required to rehabilitate a child. Keywords: Behaviour, Children at risk, Juvenile, Rehabilitation, Juvenile Rehabilitation Centres and Delinquency

    Learning HMM State Sequences from Phonemes for Speech Synthesis

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    AbstractThis paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with modified discrete cosine transform (MDCT), is useful for speech synthesis. Mel-cepstral spectral parameters, currently adopted in the conventional methods as features for HMM acoustic modeling, do not ensure direct speech waveforms reconstruction. In contrast to these approaches, we use an analysis/synthesis technique based on MDCT that guarantees a perfect reconstruction of the signal frame feature vectors and allows for a 50% overlap between frames without increasing the data rate. Experimental results show that the spectrograms achieved with the suggested technique behave very closely to the original spectrograms, and the quality of synthesized speech is conveniently evaluated using the well known Itakura-Saito measure
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