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Volume 5 Issue 10 (October 2018)

S.No. Title & Authors Page No View
1

Title : Modeling of Infectious Disease Through the Contact, Treatment and Recovery 0f Chicken Pox Patients (A Case Study of Offa Local Government Area of Kwara State)

Authors : Okeniyi O.M, Adeoye O.A, Ojo O.D, Adewoye K.B

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Abstract :

The outbreak and spread of diseases have been studied for many years. The ability to make predictions about diseases could enable scientists to evaluate inoculation/vaccination or isolation plans and may have a significant effect on the mortality rate of a particular epidemic. Therefore this research Modeling of Infectious Disease Through the Contact, Treatment And Recovery of Chicken Pox Patients (a case study of offa local government ) will study  how people  contact chickenpox and  investigate how many people an infected person can infect at a particular time and to develop model for male and female with Chicken pox . Regression analysis, Chi – square and R0 in SIR model were use to analyse the data. Result of the analysis revealed that the rate at which people contact chickenpox will be increasing and that contact of chickenpox is not depended on gender. Regression analysis shows that the model for male is  Y= 6,102 + 0.059X  and model for  female  is  Y= 5.177 + 0.078X  and both model   fitted the data. Further analysis revealed that, since R0 (Reproductive Number ) greater than 1 there will be likely epidemic on chickenpox  for male  and that 5.9% of the male that have chickenpox must be treated to avoid epidemics  and also 7.8% of the female that have chickenpox must be treated to avoid epidemics. We thereby recommend that health planner should educate people more on chickenpox and the preventive measures.

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2

Title : Research on Pitch Motion mode of SWATH based on System Identification

Authors : Zhaozhao MA, Songlin YANG, Shasha GAO, Zhanyuan CHENG, Baojiang WANG, Di ZHANG

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In this paper, a series of static water pitching attenuation tests were carried out on a small swath unmanned underwater SWATH-USV under different draft and different initial pitch angles. By changing the composition of the restoring moment and damping torque, 9 mathematical models of the system identification were established. By changing the composition of the restoring moment and damping moment, a systematic identification mathematical model for 9 modes of pitch attenuation motion was established. Based on the system identification theory and genetic algorithm, the system identification software was written in C# language. The experimental data of the unmanned craft were identified and analyzed, and a good mathematical model of the longitudinal pitch motion was obtained by identification and calculation, and the changes of the parameters of the identification parameters under different water and tilt angles are compared. The variation of each identification parameter at different draught and tilt angles was also compared. The relative error between the software forecast value and the test value shows that the prediction value is in good agreement with the test value, which proves the reliability of the system identification software, and can predict the future navigation and motion posture of the unmanned craft.

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Title : Research on Rolling Motion Mode of a Swath unmanned craft with monitoring function

Authors : Guo Hanhui, Yu Yongqiang, Yang Songlin, Mei Jinya, Gu Kai

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In this paper, a swath unmanned craft is taken as the research object, a series of static roll attenuation tests were carried out under different draft and different initial roll angles. By changing the composition of the restoring moment and damping, 3 mathematical models of roll attenuation motion system identification were established. And based on system identification theory and a variety of optimization algorithms programming ideas, the identification and analysis of the rolling data of unmanned craft were carried out, and a better mathematical model of rolling motion was obtained by identification and calculation, and the variation of identification parameters under different draught and inclination angles was compared.

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4

Title : Design and Analysis of Photonic Crystal Fiber with Nearly Zero Ultra Flattened Chromatic Dispersion

Authors : Rupayali Swaroop, Himanshu Joshi, Ramesh Bharti

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A simple index-guiding hexagonal-lattice photonic crystal fiber is presented in this paper for almost Zero Ultra Flattened Chromatic Dispersion with extremely low confinement loss. In this type of PCF, finite-difference time-domain (FDTD) method with the perfectly matched layers boundary conditions has been used.  The proposed holey fiber presents dispersion flattened optical fiber (DF-PCF) for tailoring near zero ultra-flatten dispersion of 0.58 ps /nm/km for 1.265 µm to 1.64 µm wide wavelength range or 375 nm flat band as well as low confinement losses of near 10-5 dB/km. By simulation result it is possible to achieve near zero ultra-flatten dispersion of 0.58 ps/nm/km for 1.265 µm to 1.64 µm with low confinement losses of the order less than 10-5 dB/km for second and third optical window which can be properly utilized in broadband optical transmission applications.

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5

Title : Resource Availability Based Assortment Of Generating Micro Grid Power Using Hybrid Algorithm

Authors : D.Santhosh Kumar, M.Kalyanasudaram, V.Lavanya

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Abstract :

The levels of fundamental power generation from non-renewable resources such as coal, nuclear reactors are in less measure around world. Most of the power grids are based on non-renewable resources. The frame work and cost effective of such grids are more expensive. The economical level is increasing while increasing power generating ratios.So that we alter the method that is to generate the power from renewable resource such as forming solar (photo Voltaic) station. The system focused towards connecting the all energy resources like renewable as well as non- renewable sources and stores the energy. The energy distributed from the storage units to all distributed networks. The power generations of the grids are based on availability of resource. With respect to time, the total availability of resources is analyzed from each of the micro grids. The operation of  this system is based on BFO ((Bacterial Foraging Optimization))algorithm which verifies all the sources required for power generation as well as requirement of energy demand and priority will be given to the resource highly available with cost effective in to considerations.

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6

Title : Non-Parametric Model to Explain the Effect of Exchange Rate on The Egyptian Trade Balance

Authors : Maie M. Kamel

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Nonparametric regression is a type of regression analysis in which the predictor does not take a pre-determined form but is constructed according to information derived from the data. Kernel regression is a non-parametric technique, The objective of its is to find a non-linear relation between a pair of random variables X and Y. In this paper, explain the relation between exchange rate and trade balance in Egypt covering the period from 1985 to 2015. The determinant for the end of the period is a substantial change in exchange rates in Egypt due to the float of the Egyptian pound.

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Title : Number Operator on Functionals of Discrete-Time Normal Noises

Authors : Xiling Zhang, Caishi Wang, Cuiyun Zhang, Fangqing Zhang

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Let Z be a discrete-time normal noise that has the chaotic represen­tation property. In this paper, we show that the number operator in the space of square integrable functionals of Z can be extended to a continuous operator on the generalized functional space of  Z.

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Title : Research on Hydrodynamic Performance of Rotatable Cable Underwater Robot

Authors : Geng Yu, Zhidong Wang, Hongjie Ling

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The ROV system dynamics model is established. Hydrodynamic performance of six degrees of freedom of the ROV underwater ontology and umbilical cable under different working conditions are calculated based on CFD numerical simulation method. Preliminary simulation calculation of coupling motion and dynamics between ROV ontology muti propellers during straight navigation and roll motion is carried out based on multi domain flow field data transfer through sliding mesh method, verifing the feasibility of the multi thruster ROV motions and dynamics numerical prediction method.

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9

Title : A Robust Cubature Kalman Filter for GPS Vector Tracking Loop

Authors : Boya Zhang, Shuai Chen, Xiaohan Zhu

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Vector Tracking Loop (VTL) is a recently proposed method to enhance GPS receiver performance. In VTL, a center navigation filter usually a Kalman filter (KF) is utilized to estimate navigation solutions and complete signal tracking together. Thus, all channels are processed together and mutual aiding can be obtained. Compared with Scalar Tracking Loop (STL), in which signal tracking is operated independently, researches have demonstrated that VTL performs better signal tracking performance. However, the nonlinear problems or the measurement outliers might affect the navigation filter and hinder VTL performance. This paper investigates applying robust adaptive cubature Kalman filter (AR-CKF) to VTL navigation filter. Robust M estimation is employed to resistant the measurement outliers and an adaptive factor is utilized to address the dynamic disturbance errors. A 3D dynamic trajectory is generated to test the AR-CKF based VTL. Simulations are implemented in a VTL software receiver, the results from comparing a common Kalman Filter with AR-CKF, which demonstrates that the employed AR-CKF improves VTL stability and accuracy.

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Title : Study on hydrodynamic response characteristics of floating platform and supporting ship near island reef

Authors : Zhidong Wang, Yaqiu Liu

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Based on the potential flow theory, the Laplace equation and the Green's function are used to establish a three-dimensional numerical flow field, and the hydrodynamic characteristics of the platform are numerically simulated. Different wind and wave parameters are selected to discuss the six-degree-of-freedom RAO of the platform. Order wave forces and additional mass. By comparing the relevant parameters of the two numerical simulations, the influence of the ship's support on the hydrodynamic parameters of the platform is obtained.

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11

Title : A time-Series Model Based on Quanntum Walk in terms of Quantum Bernoulli Noise

Authors : Caiyun Zhang, Caishi Wang, Fangqing Zhang, Xiling Zhang

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Time-series models play an important role in the research of economics and finance. The QBN-based walk is a new quantum walk model recently introduced in terms of quantum Bernoulli noise. In this paper, we construct a time-series model based on the QBN-based walk and illustrate its basic properties.

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Title : Effect of Macroporous Support Particles on Cell Immobilization, Mass Transfer and Rheology in a Stirred Cultivation of Aspergillus oryzae Using a Swingstir® Mixer

Authors : Narges Ghobadi, Chiaki Ogino, Naoto Ohmura

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Immobilization of filamentous fungi via bioprocessing is a popular way to avoid mechanical damage to cells while increasing enzymatic activity. Passive immobilization is an efficient because chemical additives are not used during the immobilization process. In this study, passive immobilization of Aspergillus oryzae was performed in a stirred tank via a flexible agitator to improve the oxygen mass transfer and rheology while increasing the enzymatic activity. To elucidate the effect of porous biomass support particles on these factors, two particles with different sizes and populations were tested in separate batch cultivations. Results showed that one of the advantages of fungal immobilization is the prevention of a high rate of glucose consumption during a submerged fermentation process. Decreasing the size of the biomass support particle increased the shear-thinning behaviour of fluid. We also determined the optimal number of particles needed to produce the largest final amounts of immobilized biomass and enzyme activity.

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Title : Modal Analysis of High-pile Wharf Structure Based on Fluid-Solid Coupling

Authors : Wang Hong, Feng Sen, Guo Zhichao

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Taking a high-pile wharf as an example, this paper uses ANSYS finite element software to establish a three-dimensional finite element simulation model of the wharf, and conducts a preliminary modal analysis to study the vibration characteristics of the high-pile wharf structure, providing structural design fault diagnosis and theoretical basis. Through the analysis of the natural frequency of the high-pile wharf model structure under waterless conditions and under water conditions, the influence of water body on the vibration frequency of the wharf is further explored.

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Title : The design of remote traffic light control system using Raspberry-Pi

Authors : Van Anh Nguyen, Duy Khanh Pham, Van Nam Bach, Phuong Huy Nguyen

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The traffic light system has been working based on the specific signal light timing diagram, in wich, the time period for each lane is unchangeable. In some situation, the number of vehicles at each lane is much different, specifically, there are not any or so few vehicles at one lane, but there are so many vehicles at the others, and the time periods for all the lanes are still the same. This leads to many vehicles have to wait in unnecessary periods. In this paper, authors proposed a method to design a remote-control system for the traffic light which flexibly controls time periods through camera system. Raspberry-Pi, functions as the central process unit, both sends the image to Traffic Management Center and provides the traffic signals for traffic light system. This method is evaluated through the real experimental model.

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Title : Effects of friction stir welding on mechanical properties and microstructure of aluminum alloy

Authors : Mohammed F.Alkandari, Sayed.A.Abdallah, S.S.Mohamed

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The objective of this work is to demonstrate the feasibility of friction stir welding (FSW) for Aluminum 6061. The  rotational speeds, 1800 r.p.m and transverse speeds 16 mm/min were examined. Metallographic examinations of friction stir welded plates were carried out using optical and scanning electron microscopy. Hardness profiles of weld joints were measured using Rockwell hardness testing machine. The hardness profile at transfer cross sections showed marked decrease in hardness values depending on welding conditions and position of hardness measurements. The FSW welds exhibited higher joint efficiencies relative to conventional techniques.

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Title : The determination of the critical value of the likelihood ratio test

Authors : Hongliang Kang

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This paper studies the likelihood ratio test critical values determined by the three methods. The first one is to build the likelihood than a function of the relationship  between statistics and distribution of the known statistics, by a critical value of the known statistics, according to the function relation, indirectly calculated likelihood ratio statistic critical value; secondly, using Monte Carlo simulation; third, when the sample size n is large, the likelihood ratio statistics limit distribution approximation is given. Based on the three kinds of methods to solve the likelihood ratio test statistic distribution is unknown and in practical computation is difficult to determine the critical value.

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Title : Impact of drought on the physicochemical properties of a hydromorphic soil in Bouake (central Cote dIvoire)

Authors : NGANZOUA Kouame Rene, ADECHINA Olayossimi, OUATTARA Amidou, KOUAME Etienne

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Drought is a constraint that preoccupies the farming community in hydromorphic soils. The purpose of this study is to evaluate the impact of drought on the physico-chemical properties of the hydromorphic soils of Bouaké. To do so, a soil profile 150 cm long and 75 cm wide, with 100 cm depth was opened and described. It is a hydromorphic Renkosol (arenic gleyic) soil that has developed under an equatorial four-season climate, including two rainy seasons and two dry seasons. It presents a temporary hydromorphy that varies with the seasons. The physicochemical analyzes show a soil that is not very acidic and very depleted of nutrients under the effect of drought, notably in nitrogen and phosphorus, in CEC as well as in exchangeable cations (K +, Mg ++ and Ca ++). However, the soil is rich in organic matter and the very high iron content exposes the area to iron toxicity. The presence of a water table around 70 cm attenuates the effects of the drought of the hydromorphic soil making it suitable for rainfed agriculture. This makes the hydromorphic soil of central Côte d'Ivoire a fragile ecosystem whose improvement of its nutritional quality can be done by the practice of the cultivation technique and an efficient fertilizer supply.

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Title : Sedimentological Characterization of Subsurface Formations of the Tertiary - Quaternary in the Dabou Region (South of Ivory Coast)

Authors : Gbangbot Jean-Michel Kouadio, NDoufou Gnosseith Huberson Claver, Saimon Aby Atse Mathurin

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About 239 samples of cuttings from two boreholes located in Dabou were the subject of sedimentological studies (lithological, granulometric and morphoscopic analysis) in this work. These studies aim to identify the origin of these sediments and to specify the factors and the phenomena which involved in their transport and their deposit during Tertiary - Quaternary. After a detailed lithological description of each sample, the sandy fractions were treated according to conventional particle size methods. The formations traversed in the two wells consist of lateritic clays, yellow clays, clay sands and coarse sands. The analyzed sands are coarse and testify to the différents variations in the energy of the stream that transported the sediments. The hyperbolic granulometric facies is dominant in the study area, indicating a variation in streamflow during sedimentation. The predominantly round to sub-round quartz grains suggest a relatively distal supply source while their blunted blunted appearance suggests a stay in the aquatic environment. The sediments of these two wells are therefore sands of fluviatile origin, deposited in a shallow marine environment.

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Title : Design of a Microcontroller Based Automated Ice-cube Making Machine

Authors : I. F. Titiladunayo, R. A. Shittu

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Beyond homes and offices, the importance of ice in food service outlets, bars, hotels and some health care services industries, is very significant to quality service delivery as a lot of ice is needed within a short time and continuously for chilling and various other cooling purposes. However, the bulkiness and expensiveness of the manually operated locally made ice machines, which requires the need for a standby operator to carry out ice production activities should be eliminated through automation, in modern ice making machine designs. It is therefore an object of this paper to present the design of a portable self-contained automated ice-cube making machine suitable for small scale ice production within a short period of time, incorporating a control means which limits human interaction with the machine to starting the machine, and collecting ice cubes from the storage bin. The machine was designed, using the principle of vapour compression refrigeration system for the production of 24 cubes of ice measuring 22 × 22 × 22 mm at ₋15℃ from 7.667 × 10₋4 m3of water within 30 minutes. The machine components and design results include: A R-134a reciprocating type compressor of 0.086kW capacity; a bare tube evaporator designed for 0.2984 kW refrigeration load; a finned-tube type condenser with 0.3847 kW capacity; and a water circulation pump of 0.279 × 10₋3 kW pump power. The process of feeding water into the machine and harvesting of ice cubes is automated through the application of an electronic control system incorporating a PIC16F877A microcontroller. The control unit was designed and simulated on Proteus Design Suite while the programming codes was written in C language on MPLAB IDE.

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Title : Simulation Of Fuzzy Based M3C- UPQC For Power Quality Improvement In Power Grid

Authors : M. Ankarao, Mathaku Sandya Rani

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Power quality improvement is very much crucial due to the recent advancements in the equipments at consumer end, which mainly contains the power electronic equipments responsible for the nonlinearities in voltage and current at the load end of the distribution system. For suppressing these nonlinearities an equipment is proposed to have a feature of hybrid compensating system property to reduce both voltage and current disturbances. Which contains series and shunt active power filter combination. Series active power filter is used to suppress voltage disturbance by injecting voltage into the system, and shunt active power filter is used to reduce current disturbance by injecting current into the system. Many topologies and many control strategies are proposed for particular system behaviour. Analysis of equivalent circuit for modular matrix multilevel circuit control strategy incorporates integrated control method comprised of  internal balance and external compensation, involves inter and intra capacitive voltage divergence balance through circulating current, A fuzzy logic based M3C UPQC  is proposed to improve THD performance of the system. The effectiveness of fuzzy logic controller is examined by MATLAB/SIMULINK software.

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Title : Comparing Shannon entropies and standard deviations of the order statistics for uncensored, semicensored, and censored distributions

Authors : Hayat Kılıç, Atıf Evren

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As well as being three maximum entropy distributions, uniform, exponential and normal distributions have different properties in terms of censorization. Uniform distribution is censored from two sides . Exponential distribution is censored from below, whereas the normal distribution is uncensored. In this study, Shannon entropies of order sta-tistics  from uniform, exponential and normal distributions are considered.It has been found that  entropies of order statistics are some functions of the entropies of parent distributions.They are also functions of sample size, and  order of the statistic. Entropy estimates are then compared with standard deviations of order statistics. It has been detected that  for order statistics of censored distributions, like uniform or exponential distribution; as the two measures of  uncertainty;  standard deviation, and  entropy  do not convey the same information,  i.e., they are not positively correlated.This is  probably because the lowest and/or highest order statistics do not show high variability due to censorization.  For uncensored distributions like the normal distribution,  entropy and standard deviation are positively correlated as expected a priori.  Therefore in case of censorization using entropy statistics may not be appropriate to measure uncertainty or variability of order statistics.   

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Title : Simulation of 7- Level AC–AC Sparse Modular Multilevel Converter

Authors : M. Anka Rao, R. Mayuri

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7-level AC-AC Sparse modular multilevel converter (SMMC) is proposed in this paper. It is a bi-directional multilevel converter and it is employed in high power and high voltage applications. It contains full bridge and half bridge SM’s on the middle arm, and low frequency converters on each side of the converter. In this converter more number of IGBT switches can work under soft switching mode. Control scheme is also proposed in this paper, it is utilized to obtain the capacitor voltage balancing. Capacitor voltages have some oscillations, harmonics will be decreased by applying modified PWM technique. Number of levels of the converter increases, voltage harmonics will be decreased and also switching frequency of the full bridge and half bridge arm IGBTs is decrease. The appropriateness of the 7-level AC/AC SMMC with Control scheme will be estimated by utilizing the MATLAB/SIMULINK software.

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Title : Design and Application of Grey Predictor for Unglazed Transpired Solar Collector

Authors : Saliha Erenturk, Koksal Erenturk

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In order to evaluate different modeling techniques for Unglazed Transpired Collectors (UTC), not only mathematical modeling method for UTC based on heat transfer expressions to estimate the various heat transfer coefficients for the UTC components and empirical relationship, but also grey predicting approach have been designed and introduced, in this study. Thermal performance experiments of UTC have been carried out on an optimized experimental setup. Firstly, obtained experimental results have been compared with the mathematical model. To constitute a common point, output temperature of the UTC has been selected as the output variable. Then, a grey predictor has been used to forecast the output temperature with higher accuracy with the aid of simple mathematical equations. Finally, obtained results have been compared and comparison results have been illustrated in both graphical and tabular form. Grey predictor is the simplest method to forecast the output temperature with high accuracy.

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Title : Design of “Deep Learning Controller”

Authors : Koksal Erenturk

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Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of large‐scale data. In the meantime, recent advances in deep learning, encompassing neural networks, hierarchical probabilistic models, and a variety of unsupervised and supervised feature learning algorithms, have brought about tremendous development to many areas of interest to the engineering community. In this work, an extended type of the current accomplishment of deep learning to chemical process control problem has been presented. As well-known, if one formulated the reward function properly, “deep learning” can be used for industrial process control purpose. The controller setup follows the typical reinforcement learning setup, whereby an agent (controller) interacts with an environment (process) through control actions and receives a reward in discrete time steps. Deep neural networks (DNN) serve as function approximators and are used to learn the control policies. Once the DNN trained, control actions can be achieved at the output of the learned network. Even though the policies are not explicitly specified for the DNN, the DNN has an ability to learn policies that are different from the traditional controllers. The designed “Deep Learning Controller” (DLC) for Single Input Single Output Systems (SISO) has been tested under various scenarios. Obtained results have been given in graphical illustrations for details and these results showed that DLC can be easily used for instead of any type of controller. Additionally, it can be concluded that DLC are very robust when compared with the other type of controllers in terms of noise and unknown disturbances.

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