American Journal of Computer Sciences and Applications

Ascertaining the impact of Temperature, Rainfall, Water level, and Water discharge on Sediment Yield

Research article of American Journal of Computer Sciences and Applications Ascertaining the impact of Temperature, Rainfall, Water level, and Water discharge on Sediment Yield Balogun O*, Ogunseye A.A, Hinmikaiye J, Adegbenle A.A, Oyebode A.A, Akinshola J Department of Computer Science Babcock University, Nigeria The state of our natural environment is continuously changing. Various texts, global environmental monitoring bodies and environmental focused research groups agree that the deterioration, if not checked, will in the nearest future make it impossible for all living things to continue to exist in the ways we are accustomed to. As Earth’s temperature steadily increases, so has its sea level. This has brought about a lot of changes in the landscape of different catchment areas which is as a result of flooding. Flooding, in turn, has also resulted in death and proliferation of water borne diseases This work is motivated by the need to understand what factors mostly affect sediment yield in order to safe guard against its effects. The work takes a look into temperature, rainfall, water level, and water discharge factors from Oyan gauging station of the Ogun-Osun River basin, in the south western part of Nigeria. Our results show that all factors considered have a Sconsiderable effect on sediment yield. Keywords:impact of Temperature, Rainfall, Water level, and Water discharge, Sediment Yield ...

An overview of Artificial neural network

Review article of American Journal of Computer Sciences and Applications An overview of Artificial neural network Emon Md Mohaiminul Islama aChongqing University Of Science And Technology, Shapingba, Chnongqing,China Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in many forecasting applications and business classification applications due to their ability to learn from the data. This article aims to provide a brief overview of artificial neural network.The artificial neural network learns by updating the network architecture and connection weights so that the network can efficiently perform a task. It can learn either from available training patterns or automatically learn from examples or input-output relations. Keywords: review, artificial neural network ...

Phase Modulated OFDMA System, Study and Investigations

Research article of American Journal of Computer Sciences and Applications Phase Modulated OFDMA System, Study and Investigations Farouk A. K. Al-Fuhaidy, Faisal Saif Alkamali, and Khaled Al-sofy Department of electrical engineering, Ibb University, Ibb-Yemen In this paper, a DFT- based OFDMA with phase modulation (DFT-OFDMA-PM) system is proposed. The proposed system exploits the advantages of PM, the constant envelope (CE) signal, and the ability to improve the diversity of multipath channels. The performance of the proposed system in terms of bit error rate (BER) is studied and investigated using simulation. An investigation of the proposed system, the DFT-OFDMA-PM, results is carried and compared to the recently proposed DCT-OFDMA-PM system and the conventional systems without PM. Moreover, the key parameter, the modulation index, which affects the performance of the PM systems, is also studied and the optimum value is chosen via simulation. The simulation results for the proposed system show the effectiveness of the proposed system for broadband communications. Keywords: Phase Modulated OFDMA System, Study, Investigations ...

Modeling a Fault Tolerant Control Mechanism for Cloud e-marketplaces using Raft Consensus Protocol (RCP)

Research article of American Journal of Computer Sciences and Applications Modeling a Fault Tolerant Control Mechanism for Cloud e-marketplaces using Raft Consensus Protocol (RCP) Ige A.O.a, Akingbesote A.O.a, Oriola O.a, and Aranuwa F.O.a aComputer Science Department, Adekunle Ajasin University, Akungba – Akoko, Ondo State, Nigeria The evolution of marketplaces started from the traditional marketplace, the internet marketplace, the web service marketplace, the grid marketplace, before moving to cloud e-marketplace. The need to have rapid access to various service by different customers brought about cloud e-marketplaces. The goal of the cloud e-marketplace is to attract the biggest possible number of buyers while ensuring a reduced waiting time for customers and maximized profit for cloud service providers. Challenges like security, performance and fault tolerance are of great concern in the cloud market. While discussion on the issue of security and performance are ongoing, that of fault tolerance is yet to be fully addressed. Although some researchers have proposed the use of multiple servers in achieving the main idea of the cloud e-marketplace, different kinds of faults still affects the performance of cloud e-market. Balancing of providers’ cost and customers’ waiting time is still a major concern. Various techniques have been proposed in solving these problems. However, these techniques only work in a static environment where these servers can be faulty which may lead to long waiting time. We propose the use of Raft consensus protocol as our fault tolerant approach. We use the dynamic environment as against the already static approached already discussed in the literature. In the dynamic environment, two fault tolerant centers that are capable of surviving failure caused by server overload or congestion are used. These are primary and the reservoir centers. The Raft Consensus Protocol is used in both centers to coordinate the servers and make sure that each ...

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American Journal of Computer Sciences and Applications