Mathematics and Computer Science

  • Chaotic Random Sequence Generated from Tent Map on Variant Maps

    Chaotic Random Sequence Generated from Tent Map on Variant Maps Yifeng Zheng1, Jeffrey Zheng1 1School of Software, Yunnan University, Kunmming 650091, China Chaotic sequences, have being widely used in mobile communications and cyberspace security. Using the sequences, various stochastic analysis schemes are developed. The Tent map is one of the widely used chaotic maps with good ergodic uniformity. In this paper, the variant maps are used to illustrate the Tent chaotic sequence under different lengths and control parameters to show…

  • Generating New Orthogonal Binary Sequences Using Quotient Rings Z/pm Z

    Generating New Orthogonal Binary Sequences Using Quotient Rings Z/pm Z Dr. Ahmad Hamza Al Cheikha Dep. of Mathematical Science, College of Arts-science and Education, Ahlia Uni., Manama, Bahrain Orthogonal Sequences (as M-Sequences, Walsh Sequences, …) are used widely at the forward links of communication channels to mix the information on connecting to and at the backward links of these channels to sift through this information is transmitted to reach the receivers this information in a correct form, especially in the…

  • Traffic Shaping for Congestion Control

    Traffic Shaping for Congestion Control Kuyoro Shade O., Okolie Samuel O. and Oyebode Aduragbemi* Department of Computer Science, Babcock University, Nigeria The problem of congestion is not new to the field of telecommunications; its root can be traced back to the very foundations of the internet. Most, if not all networks, are currently faced with this problem. The distribution of resources on the network is very vital. The fact that resources are limited brought about major problem such that these…

  • Comparative Study of a Class of One-Step Methods for the Numerical Solution of Some Initial Value Problems in Ordinary Differential Equations

    Comparative Study of a Class of One-Step Methods for the Numerical Solution of Some Initial Value Problems in Ordinary Differential Equations 1 S.E. Fadugba and 2T. E. Olaosebikan 1,2 Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria We emphasized explicitly on the derivation and implementation of a new one-step numerical method for the solution of initial value problems in ordinary differential equations. In this paper, we aimed at comparing the newly developed method with other existing methods such as…

  • An approximation algorithm for minimizing congestion in the single-source k-splittable flow

    An approximation algorithm for minimizing congestion in the single-source k-splittable flow Chengwen Jiao*, Qi Feng, Weichun Bu College of Science, Zhongyuan University of Technology, Zhengzhou, Henan 450007, People’s Republic of China In the traditional multi-commodity transmission networks, the number of paths each commodity can use is unrestricted, and the commodities can use arbitrary number of paths to transmit the flow. However, in the real transmission networks, too many paths will increase the total transmission cost of the network and also…

  • Application of the Discrete Geometrical Invariants to the Quantitative Monitoring of the Electrochemical Background

    Application of the Discrete Geometrical Invariants to the Quantitative Monitoring of the Electrochemical Background R. R. Nigmatullin1, H. C. Budnikov2, A. V. Sidelnikov3, E. I. Maksyutova3 1Radioelectronic and Informative-Measurements Techniques Department, Kazan National Research Technical University (KNRTU-KAI)K. Marx str. 10. , 420011, Kazan, Tatarstan, Russian Federation; 2A.M. Butlerov Institute of Chemistry, Kazan Federal University (KFU), Kazan, Russian Federatio; 3Chemistry Department, Bashkir State University, Ufa, Russian Federation In this paper, we apply the statistics of the fractional moments (SFM) and discrete…

  • An Implementation of a One-Time Pad Encryption Algorithm for Data Security in Cloud Computing Environment

    An Implementation of a One-Time Pad Encryption Algorithm for Data Security in Cloud Computing Environment Omotunde Ayokunle A*1, Faith Adekogbe2, Onuiri Ernest3, Precious Uchendu4 1Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria 3Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria 4Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria The cloud is a computing model used by many consumers which include individuals and organizations for data storage which hitherto…

  • Expert System Model for Diagnosing Legume Diseases

    Expert System Model for Diagnosing Legume Diseases Rahmon,I.A,Adebola_Akinsanya and Eze M.,. Computer Science Department Babcock University, Ilishan, Ogun State. There is a current surge in designing expert systems to solve problems like humans in different domains of research but there presently exist dearth of models that can guide designers of expert systems that can be used to accurately diagnose Soya beans diseases. Soya bean is a leguminous plant that is commonly grown in sub Saharan region and it is currently…

  • A Conceptual Design and Evaluation Framework for Mobile Persuasive Health Technologies (Usability Approach)

    A Conceptual Design and Evaluation Framework for Mobile Persuasive Health Technologies (Usability Approach) Kasali, F. A.1, Awodele, O.2, Kuyoro, S.3, Akinsanya, A.4, Eze, M.5 1,2,3,4,5Department of Computer Science and Information Technology, Babcock University, Ogun State, Nigeria Persuasive techniques are recently being explored by computer science researchers as an effective strategy towards creating applications that are aimed at positive attitudinal changes especially in the health domain but finding effective evaluation approaches for these technologies remain an herculean task for all stakeholders…

  • A Logical Approach for Empirical Risk Minimization in Machine Learning for Data Stratification

    A Logical Approach for Empirical Risk Minimization in Machine Learning for Data Stratification 1Taiwo, O. O., 2Awodele O., 3Kuyoro, S. O. 1,2,3Department of Computer Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria The data-driven methods capable of understanding, mimicking and aiding the information processing tasks of Machine Learning (ML) have been applied in an increasing range over the past years in diverse areas at a very high rate, and had achieved great success in predicting and stratifying given data instances of…