Improving the approximation ability of Volterra series identified with a cross-correlation method

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

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

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

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

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

Smart-Future-Living-Bodensee

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

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

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

Optimizing linear routing in the ToLHnet protocol to improve performance over long RS-485 buses

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An Overview of the Sustainable Recycling Processes Used for Lithium-Ion Batteries

first_pagesettingsOrder Article Reprints Open AccessReview An Overview of the Sustainable Recycling Processes Used for Lithium-Ion Batteries by Daniele Marchese 1,*ORCID,Chiara Giosuè 2,*ORCID,Antunes Staffolani 3,4,5ORCID,Massimo Conti 6,Simone Orcioni 6,Francesca Soavi 3,4,5ORCID,Matteo Cavalletti 1 andPierluigi Stipa 2ORCID 1 MIDAC S.p.A., Via Alessandro Volta 2, Soave, 37038 Verona, Italy 2 Department of Science and Engineering of Matter, Environment and Urban Planning (SIMAU), Polytechnic University of Marche, INSTM Research Unit, 60131 Ancona, Italy 3 Department of Chemistry “Giacomo Ciamician”, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy 4 ENERCube, Centro Ricerche Energia, Ambiente e Mare, Centro Interdipartimentale per la Ricerca Industriale Fonti Rinnovabili, Ambiente, Mare ed Energia (CIRI-FRAME)—Alma Mater Studiorum University of Bologna, Viale Ciro Menotti, 48, 48122 Marina di Ravenna, Italy 5 National Reference Center for Electrochemical Energy Storage (GISEL)—INSTM, Via G. Giusti 9, 50121 Firenze, Italy 6 Department of Information Engineering (DII), Polytechnic University of Marche, INSTM Research Unit, 60131 Ancona, Italy * Authors to whom correspondence should be addressed. Batteries 2024, 10(1), 27; https://doi.org/10.3390/batteries10010027 Submission received: 25 November 2023 / Revised: 21 December 2023 / Accepted: 6 January 2024 / Published: 11 January 2024 (This article belongs to the Special Issue Toward Next-Generation Rechargeable Lithium-Ion Batteries: Current Status and Future Prospects) Downloadkeyboard_arrow_down Browse Figures Versions Notes Abstract Lithium-ion batteries (LIBs) can play a crucial role in the decarbonization process that is being tackled worldwide; millions of electric vehicles are already provided with or are directly powered by LIBs, and a large number of them will flood the markets within the next 8–10 years. Proper disposal strategies are required, and sustainable and environmental impacts need to be considered. Despite still finding little applicability in the industrial field, recycling could become one of the most sustainable options to handle the end of life of LIBs. This review reports on the most recent advances in sustainable processing for spent LIB recycling that is needed to improve the LIB value chain, with a special focus on green leaching technologies for Co-based cathodes. Specifically, we provide the main state of the art for sustainable LIB recycling processes, focusing on the pretreatment of spent LIBs; we report on Life Cycle Assessment (LCA) studies on the usage of acids, including mineral as well as organic ones; and summarize the recent innovation for the green recovery of valuable metals from spent LIBs, including electrochemical methods. The advantage of using green leaching agents, such as organic acids, which represent a valuable option towards more sustainable recycling processes, is also discussed. Organic acids can, indeed, reduce the economic, chemical, and environmental impacts of LIBs since post-treatments are avoided. Furthermore, existing challenges are identified herein, and suggestions for improving the effectiveness of recycling are defined