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Ball and beam control system is specially designed to study nonlinear control methodology on an unstable system. The point of the ball is hard to manage because it will move continuously on a beam, makes it becoming open-loop unstable. PID controller had been successfully applied for this application by previous researchers. However, incorporation of fuzzy in the system to facilitate PID tuning could...
Leishmaniasis is a disease caused by the Leishmania parasites. The two common forms of leishmaniasis are cutaneous leishmaniasis (CL) and visceral leishmaniasis (VL). VL is the more severe of the two and, if untreated, may become fatal. The hallmark of VL is the formation of granuloma in the liver or the spleen. In this paper, we develop a mathematical model of the evolution of granuloma in the liver...
In optimizing PID controller's parameters using any optimization algorithm, fitness function is one of the important area to be explored. Among frequently used fitness function is a weighted transient response index (WTRI) where the weight is given to each of the transient response component including rise time, settling time, overshoot and steady state error based on their priority set in specification...
The implementation of PSO algorithm in optimizing PID controller's parameters has been in active research area recently. One of the popular plant to be controlled using this control strategy is a DC motor and various types of DC motors with variations in parameters value have been used in this research area. Moment of inertia is one of the important parameters of a DC motor which can affect the output...
In this paper we propose simple recurrent network (SRN) and mathematical paradigm to model real time interaction of astrocyte in simplified spiking neural network (SRM0). Both Elman neural network and Jordan neural network are used in the proposed network. Elman neural network is connected to the synapse and Jordan neural network is connected to the postsynaptic neuron in tripartite synapse, the simulation...
This paper explores the students' performance on their basic engineering mathematics. It is essential for the students to meet the expectation of the engineering program in ensuring that the students be able to follow thru the whole program smoothly and achieved the expected learning outcome at the end of the program. Meaningful performance measurement is critical in identifying the performance of...
In this research work a Fuel cell based power system is explicitly modeled and analyzed under the various possible operating conditions. In order to ensure a reliable, efficient, durable and cost effective operation, a control system based on the management of air and fuel flow regulations can be designed. Fuel cell systems produce clean energy and they have got higher energy conversion efficiencies...
This study investigates the optimal operating conditions for preparation of rice husk carbon-clinoptilolite (RHC-clinop) composite adsorbent for color removal from dye house facility. Central composite design (CCD) was used to determine the effects of the four preparation variables; clinoptilolite (clinop), rice husk carbon (RHC), ordinary Portland cement (OPC) and water binder ratio (W/B) on percentage...
The paper proposes a solution to the problem of optimal placement of base stations, with effective utilization of resources. First, it analyzes the placement of base stations in x-y plane. Then this analysis is extended to 3-dimenional system, by including the z coordinate for representing height. This analysis optimizing these xy coordinate values as well as value of z coordinate, as height also...
This paper proposes neural networks based graph coloring technique to assign Physical Cell Identities throughout the self organized 3GPP Long Term Evolution Networks. PCIs are allocated such that no two cells in the vicinity of each other or with a common neighbor get the same identity. Efficiency of proposed methodology resides in the fact that minimum number of identities is utilized in the network...
Internal Model Control (IMC) yields very good performance for set point tracking, but gives sluggish response for disturbance rejection problem. A two-degree-of-freedom IMC (2DOF-IMC) has been developed to overcome the weakness. However, the setting of parameter becomes a complicated matter if there is an uncertainty model. The present study implements a new tuning method for the controller. The proposed...
This paper proposes a methodology for the long UHV transmission lines distance protection using microprocessor for fault detection, isolation and auto reclosing processes. In the present era, with the development of microprocessor technology, their extra efficient controlling and computing abilities can be utilized in distance relaying for efficient computing of fault distance and the type of fault...
In this paper, we present a Radial Basis Function Neural Network (RBFNN)-based Nonlinear Auto-Regressive Model with Exegeneous Inputs (NARX) model of a DC motor drive controller model by (Rahim, 2004). Tests were conducted to measure the accuracy of the model (using One Step Ahead (OSA) and its validity (using correlation tests and histogram analysis). The resulting model produced Mean Square Error...
This paper aims to study the diffusion of SV-waves when the medium is fluid saturated. SV-waves are propagated in the medium designed for studying the diffusive attribute. The mediums are chosen to fall into two distinctive groups: insoluble as well as soluble mediums. Refraction which is related to the wave's slowness is introduced in view of the fact that the fluid is classified into high density...
This paper report the Capacitance-Voltage (C-V) characterization of gate oxide in the ±10 nm thickness range. The project being done by using SILVACO TCAD software of using ATHENA and ATLAS simulator in order to fabricate the NMOS. To determine the gate oxide thickness, temperature, Asid Hydrocloric (HCl) % concentration and oxidation time are varies during fabrication process. The effect of the oxide...
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