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Search Results (19)
  • Open Access

    ARTICLE

    Autonomous Unbiased Study Group Formation Algorithm for Rapid Knowledge Propagation

    Monday Eze1,*, Charles Okunbor2, Solomon Esomu3, Nneka Richard-Nnabu4, Kayode Oladapo1, Oghenetega Avwokuruaye5, Abisola Olayiwola6, Akpovi Ominike7, Godwin Odulaja8, Oluwatobi Akinmerese1

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 15-31, 2022, DOI:10.32604/csse.2022.021964

    Abstract Knowledge propagation is a necessity, both in academics and in the industry. The focus of this work is on how to achieve rapid knowledge propagation using collaborative study groups. The practice of knowledge sharing in study groups finds relevance in conferences, workshops, and class rooms. Unfortunately, there appears to be only few researches on empirical best practices and techniques on study groups formation, especially for achieving rapid knowledge propagation. This work bridges this gap by presenting a workflow driven computational algorithm for autonomous and unbiased formation of study groups. The system workflow consists of a chronology of stages, each made… More >

  • Open Access

    ARTICLE

    Main Path Analysis to Filter Unbiased Literature

    Muhammad Umair1, Fiaz Majeed1, Muhammad Shoaib2, Muhammad Qaiser Saleem3, Mohmmed S. Adrees3, Abdelrahman Elsharif Karrar4, Shahzada Khurram5, Muhammad Shafiq6,*, Jin-Ghoo Choi6

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1179-1194, 2022, DOI:10.32604/iasc.2022.018952

    Abstract Citations are references used by researchers to recognize the contributions of researchers in their articles. Citations can be used to discover hidden patterns in the research domain, and can also be used to perform various analyses in data mining. Citation analysis is a quantitative method to identify knowledge dissemination and influence papers in any research area. Citation analysis involves multiple techniques. One of the most commonly used techniques is Main Path Analysis (MPA). According to the specific use of MPA, it has evolved into various variants. Currently, MPA is carried out in different domains, but deep learning in the field… More >

  • Open Access

    ARTICLE

    Inverse Length Biased Maxwell Distribution: Statistical Inference with an Application

    Amer Ibrahim Al-Omari1, Ayed R.A. Alanzi2,*

    Computer Systems Science and Engineering, Vol.39, No.1, pp. 147-164, 2021, DOI:10.32604/csse.2021.017362

    Abstract In this paper, we suggested and studied the inverse length biased Maxell distribution (ILBMD) as a new continuous distribution of one parameter. The ILBMD is obtained by considering the inverse transformation technique of the Maxwell length biased distribution. Statistical characteristics of the ILBMD such as the moments, moment generating function, mode, quantile function, the coefficient of variation, coefficient of skewness, Moors and Bowley measures of kurtosis and skewness , stochastic ordering, stress-strength reliability, and mean deviations are obtained. In addition, the Bonferroni and Lorenz curves, Gini index, the reliability function, the hazard rate function, the reverse hazard rate function, the… More >

  • Open Access

    ARTICLE

    Bayesian Analysis in Partially Accelerated Life Tests for Weighted Lomax Distribution

    Rashad Bantan1, Amal S. Hassan2, Ehab Almetwally3, M. Elgarhy4, Farrukh Jamal5, Christophe Chesneau6, Mahmoud Elsehetry7,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2859-2875, 2021, DOI:10.32604/cmc.2021.015422

    Abstract Accelerated life testing has been widely used in product life testing experiments because it can quickly provide information on the lifetime distributions by testing products or materials at higher than basic conditional levels of stress, such as pressure, temperature, vibration, voltage, or load to induce early failures. In this paper, a step stress partially accelerated life test (SS-PALT) is regarded under the progressive type-II censored data with random removals. The removals from the test are considered to have the binomial distribution. The life times of the testing items are assumed to follow length-biased weighted Lomax distribution. The maximum likelihood method… More >

  • Open Access

    ARTICLE

    New Improved Ranked Set Sampling Designs with an Application to Real Data

    Amer Ibrahim Al-Omari1, Ibrahim M. Almanjahie2,3,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1503-1522, 2021, DOI:10.32604/cmc.2021.015047

    Abstract This article proposes two new Ranked Set Sampling (RSS) designs for estimating the population parameters: Simple Z Ranked Set Sampling (SZRSS) and Generalized Z Ranked Set Sampling (GZRSS). These designs provide unbiased estimators for the mean of symmetric distributions. It is shown that for non-uniform symmetric distributions, the estimators of the mean under the suggested designs are more efficient than those obtained by RSS, Simple Random Sampling (SRS), extreme RSS and truncation based RSS designs. Also, the proposed RSS schemes outperform other RSS schemes and provide more efficient estimates than their competitors under imperfect rankings. The suggested mean estimators under… More >

  • Open Access

    ARTICLE

    Acceptance Sampling Plans with Truncated Life Tests for the Length-Biased Weighted Lomax Distribution

    Amer Ibrahim Al-Omari1,*, Ibrahim M. Almanjahie2,3, Olena Kravchuk4

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 285-301, 2021, DOI:10.32604/cmc.2021.014537

    Abstract In this paper, we considered the Length-biased weighted Lomax distribution and constructed new acceptance sampling plans (ASPs) where the life test is assumed to be truncated at a pre-assigned time. For the new suggested ASPs, the tables of the minimum samples sizes needed to assert a specific mean life of the test units are obtained. In addition, the values of the corresponding operating characteristic function and the associated producer’s risks are calculated. Analyses of two real data sets are presented to investigate the applicability of the proposed acceptance sampling plans; one data set contains the first failure of 20 small… More >

  • Open Access

    ARTICLE

    Prediction of tomato hybrid performance with genomic markers

    Hernández-Ibáñez L, J Sahagún-Castellanos, JE Rodríguez-Pérez, MG Peña-Ortega, LM Rodríguez-Martínez

    Phyton-International Journal of Experimental Botany, Vol.83, pp. 311-318, 2014, DOI:10.32604/phyton.2014.83.311

    Abstract In many countries, tomato (Solanum lycopersicum L.) is the most important horticultural species, but good variety seeds are expensive. In hybrid breeding, the number of possible single crosses is too large with only a few lines. With 60 lines, for example, 1770 single-cross hybrids can be formed. This makes it expensive and even impossible to conduct an adequate experimental evaluation. These cases require the availability of methods for predicting hybrid performance. This study was designed to evaluate a method to predict fruit yield in tomato hybrids based on genomic fingerprints, the theory of mixed models, and the experimental evaluation of… More >

  • Open Access

    ARTICLE

    An Efficient Quantum Key Distribution Protocol with Dense Coding on Single Photons

    Hao Xiao1,*, Jun Zhang2, Wenhua Huang3, Mi Zhou4, Wencheng Hu5

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 759-775, 2019, DOI:10.32604/cmc.2019.06085

    Abstract Combined with the dense coding mechanism and the bias-BB84 protocol, an efficient quantum key distribution protocol with dense coding on single photons (QDKD-SP) is proposed. Compared with the BB84 or bias-BB84 protocols based on single photons, our QDKD-SP protocol has a higher capacity without increasing the difficulty of its experiment implementation as each correlated photon can carry two bits of useful information. Compared with the quantum dense key distribution (QDKD) protocol based on entangled states, our protocol is more feasible as the preparation and the measurement of a single-photon quantum state is not difficult with current technology. In addition, our… More >

  • Open Access

    ARTICLE

    Computer Simulation of Fundamental Behaviors of Point Defects, Clusters and Interaction with Dislocations in Fe and Ni

    E. Kuramoto, K. Ohsawa, T. Tsutsumi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.3, No.2, pp. 193-200, 2002, DOI:10.3970/cmes.2002.003.193

    Abstract In order to investigate the interaction of point defects with a dislocation, an interstitial cluster or a SFT (stacking fault tetrahedron), computer simulation has been carried out in model Fe and Ni crystals. The capture zone (the region where the interaction energy is larger than kT) was determined for various interactions. Calculated capture zone for T =500°C for SIAs (crowdion and dumbbell) around a straight edge dislocation is larger than that for a vacancy in both Fe and Ni. Capture zones for Ni are larger than those for Fe, suggesting that Ni (fcc) has a larger dislocation bias factor than… More >

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