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    Tytuł:
    Hybridization of battery and ultracapacitor for low weight electric vehicle
    Autorzy:
    Arefin, Md. A.
    Mallik, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/95263.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Koszalińska. Wydawnictwo Uczelniane
    Tematy:
    ultracapacitor
    hybridization
    electric vehicle
    energy storage
    hybrid energy source
    superkondensator
    hybrydyzacja
    pojazd elektryczny
    magazynowanie energii
    hybrydowe źródło energii
    Opis:
    This paper portrays the benefits of introducing an ultracapacitor into a battery pack of an urban electric vehicle drive train. Simulations are done taking two basic scenarios into consideration: fresh cells and half-used battery cells. The simulations show that the lower the temperature is, the higher the hybrid system efficiency becomes. Data from real world is is covered by this study. Simulations are done considering a modified Bangladeshi drive cycle for low weight vehicles. Several issues like volumetric, gravimetric and cost issues of hybridization are present in this paper. Owing to this system, the power loss of the system can be reduced by up to 5% to 10%. Finally, hybridization not only increases the efficiency of the energy storage system but it also increases the power train efficiency and the battery lifespan. This paper would help researchers in further development of this topic.
    Źródło:
    Journal of Mechanical and Energy Engineering; 2018, 2, 1; 43-50
    2544-0780
    2544-1671
    Pojawia się w:
    Journal of Mechanical and Energy Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integrated statistical and rule-mining techniques for dna methylation and gene expression data analysis
    Autorzy:
    Mallik, S.
    Mukhopadhyay, A.
    Maulik, U.
    Powiązania:
    https://bibliotekanauki.pl/articles/1396742.pdf
    Data publikacji:
    2013
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    statistical analysis
    gene marker
    methylation
    genetic algorithm
    DNA
    Opis:
    For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies the significant differentially expressed/methylated gene markers, whereas the second one produces the interesting relationships among them across different types of samples or conditions. In this article, statistical tests and association rule mining based approaches have been used on gene expression and DNA methylation datasets for the prediction of different classes of samples (viz., Uterine Leiomyoma/class-formersmoker and uterine myometrium/class-neversmoker). A novel rule-based classifier is proposed for this purpose. Depending on sixteen different rule-interestingness measures, we have utilized a Genetic Algorithm based rank aggregation technique on the association rules which are generated from the training set of data by Apriori association rule mining algorithm. After determining the ranks of the rules, we have conducted a majority voting technique on each test point to estimate its class-label through weighted-sum method. We have run this classifier on the combined dataset using 4-fold cross-validations, and thereafter a comparative performance analysis has been made with other popular rulebased classifiers. Finally, the status of some important gene markers has been identified through the frequency analysis in the evolved rules for the two class-labels individually to formulate the interesting associations among them.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2013, 3, 2; 101-115
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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