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    Item type:Publication,
    Ontological Engineering Based Model for Classifying Maize Diseases
    (International Journal of Computer Science and Information Technologies, 2022-10)
    Kariuki, Paul
    Classifying maize diseases is regarded as uncertain, dynamic and dependant on many factors. This paper uses OWL DL language to build a maize diseases ontology. The knowledge representation gives formal specification for the different ways of classifying maize diseases．The results show that development of the ontology and use of the Protégé 5.0 tool led to development of an intelligent and shareable Ontology which can be used to classify maize diseases which leads to enhanced productivity and yield.
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    Item type:Person,
    Ngigi, Peter Kung’u
    Lecturer
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    Item type:Publication,
    Transition Temperature of Superconducting Hybridized Cuprate Systems
    (International Journal of Physics and Mathematical Sciences, 2013)
    Rapando, B.W
    ;
    Ayodo, Y.K
    ;
    Sakwa, T.W
    ;
    Khanna, K.M
    ;
    Sarai, A
    To study the properties of high-Tc superconducting Cuprates, it is assumed that the three- electron system contributes to the superconducting current. Two electrons constitute a pair called the Cooper pair which acts as a boson and the third electron which is a fermion surrounds the Cooper pair. Quantum Statistical mechanics of a mixture of bosons and fermions has been used to study the superconducting state.
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    Item type:Publication,
    Parametric Interval Estimation of the Geeta Distribution.
    (Canadian Center of Science and Education, 2018-11-18)
    Korir, Betty C.
    ;
    Kinyanjui, Josphat K.
    It is well known that the sample mean is the estimator of a population mean in mathematical statistics from a given population of interest as a point estimator which assume a single number that is obtained by taking a random sample of a specified size from the entire population, depending on whether the population mean and variance is known or unknown. In the interval estimation, the sample mean is accompanied with a plus or a minus margin of an error that is assumed that the estimator is contained within the range of values with certain degree of confidence. This paper investigated and obtained the interval estimators of the unknown constants of Geeta distribution model through the construction of confidence interval using; the pivotal quantity method, the shortest-length confidence interval, unbiased confidence interval estimators, Bayesian confidence interval estimators and statistical method. Geeta distribution is a new discrete random variable distribution defined over all the positive integers, with two unknown parameters. The properties and characteristics of the Geeta distribution model were discussed and reviewed that is, the existence of the mean, variance, moment generating function and that the sum of all probabilities is unity. These are common properties of any given probability density function.
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    Item type:Person,
    Kimani, Shadrack Kanyonji
    Lecturer