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Volume 5 Issue 2 (February 2018)

S.No. Title & Authors Page No View
1

Title : Impacts of household waste compost formed in public garbage dump on the organo-mineral status and productivity of a sandy soil

Authors : Ferdinand Gohi Bi ZRO, Arnauth Martinez GUEI, Yves Krogba NANGAH, Albert Yao-Kouame.

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Abstract :

The inefficient use of mineral fertilizers on sandy soils in general has led users of this type of soil in Daloa (Côte d'Ivoire), especially vegetable growers, to turn to other fertilizers more readily available such as household waste composted in open air. This study was conducted to evaluate the impact of the inputs of these residues on the fertility of the soils exploited by these producers. Thus, an experimental device was set up on lettuce according to farmers' conditions. This device consisted of four blocks; each block was 21 m long. One block consisted of four elementary plots where different treatments were randomly distributed: the control did not receive compost and three additions of different compost doses (20, 40 and 60 t/ha). Some indicators of soil fertility, namely, soil organo-mineral status and the agricultural yield of the cultivation of lettuce carried out were evaluated. The results showed that the compost used had a significant positive effect on soil properties, and then, on the lettuce production when it was brought to soil at 40 and 60 t/ha. We concluded that solid waste compost can be an attractive alternative to chemical fertilizers on sandy soils.

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2

Title : Artificial neural network approach for determination of mixing height

Authors : Emad Ali Ahmed

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Abstract :

Artificial neural networks (ANNs) are one of the areas of artificial intelligence that includes systems that model the way the brain works. In this paper, ANN Model use to determine mixing height from surface meteorological parameters by using MATLAB tools. Weather data for Qena city between 2009 and 2013 are used for training the neural network, while data of 2014 are used for testing.  The results of this study indicated high correlation coefficient (R=0.82) between the measured and predicted output variables. Therefore, the model developed in this work has an acceptable generalization capability and accuracy. As a result, the neural network modeling could effectively simulate and predict mixing height.

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3

Title : Effect of Perforated Plate on Natural Acoustic Frequency of One Dimensional Sound Field Partitioned by Perforated plate

Authors : Kunihiko Ishihara, Satoru Kudo

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Abstract :

In previous studies, the natural acoustic frequency of an one dimensional duct partitioned by a perforated plate was clarified to come down with decreasing aperture ratio experimentally and analytically. The natural acoustic frequencies calculated by the Transfer Matrix Method are in good agreement with those obtained by the experiment and the natural acoustic frequency becomes lower with decreasing aperture ratio of the perforated plate. After this study, we calculated the mode of the duct with the perforated plate and focused the shape of the mode. Then the mode shape becomes the sine wave after the particle velocity passing through the perforated plate. The frequency was calculated by the 1/4 wave length of the mode and the frequency was compared with the experimental value. The both values coincide with each other. In this study, the sound propagation experiment was conducted in order to clarify the reason. As a result, it was clarified that the smaller aperture ratio was the longer the sound arrival time became. This is equivalent to the getting long of the duct and the natural acoustic frequency can be considered to become low.

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4

Title : Prediction of Bank Investors using Neural Network in Direct Marketing

Authors : Rutu S Patel, Himanshu S Mazumdar

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Abstract :

Direct marketing in banking is one of the most effective methods of predicting potential investors. Effectiveness of direct marketing is being analyzed using different methods like feature correlation, dataset balancing, neural network (NN) etc.  Usually sixteen to twenty parameters are collected for training database to evaluate the potential client. A fully connected multilayer NN is developed that gradually optimizes the connection based on training dataset. This NN is used to predict the customer willingness for long term deposit with accuracy hire then 95% which corresponds to Accuracy, Sensitivity and Specificity of 95.19%, 92.32% and 95.42% respectively. One of the important parameter is false negative prediction which is 0.63% for above accuracy. Result of false negative indicates incorrectly predicting unwilling clients. With our algorithm, analyzing UCI test benchmark dataset gives 276 true prediction out of 451 records of customers who buy the bank product and only 23 false prediction out of 3668 records of customers who did not buy the bank product. This may be noted that false negative to true negative ratio increases rapidly with small decrease of accuracy. 2% decrease from 95% increases the false negative value from  23 to 379. Such increase leads to several fold non productive persuasion effort. On the other hand decrease in true positive reduces the true buyer but do not reduce the productivity due to false prediction. However it is seen that increase of network size do not increase the accuracy even after several hours of training. Hence an optimum size of the network needs to be achieved with automatic iterative pruning.

17-22
5

Title : Synthesis and characterization of the bioactive ternary SiO2-CaO-P2O5 Bioglass

Authors : Aymen Hadji, Abdelali Merah, Ouanassa Guellati, Mohamed Guerioune

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In this paper, we present our results on the synthesis and characterization of silicon dioxide or silica calcium oxide and phosphorus pentoxide (SiO2-CaO-P2O5) glass; by means of the sol-gel method where previous works have used tetraethyl orthosilicate (TEOS) as SiO2 precursor, but here we are using the commercialized aerosol SiO2. Indeed, our synthesis of this gel-glass nanocomposite was carried out using the aerosol SiO2, calcium nitrate tetrahydrate (CaNO3.4H2O) and sodium hydrogenphosphate (Na2HPO4) as precursors of SiO2, CaO and P2O5 respectively. The characterization was carried out by infrared spectroscopy (FTIR), X-ray diffraction (XRD), and field emission scanning electron microscopy (FESEM) to study their chemical bonding, structural and morphological properties of the resulting amorphous glass. These techniques conducted us to detect the chemical modifications induced by modifying the Ca/P molar ratio. In addition, the thermal properties of the synthesized gel-glass materials were studied using thermogravimetric and differential thermal analysis (TG/DTA). The results revealed that the glass transition temperature is around 600°C, with the aim to convert them into ceramic powders through calcinations treatment. The results gave us porous bioactive materials that can be suitable for many applications such as prolonged-release drug or bone tissue repairing.  

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6

Title : Strategic Analysis of EVs electrical energy storage using PEST analysis and Analytical Network Process for Technology Adoption

Authors : Saada Oussama

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In the last recent years, the interest on electric vehicle has been increased more and more due to environmental issues and oil's price dependency. The purpose of this study is to select the best energy storage source for Electric Vehicle in the future In light of this purpose, firstly, specific criteria has been proposed as main f  actors influencing on energy storage technology adoption  using PEST analysis and the results calculated by Analytical Network  Process tools select battery technology as the best energy storage source for Electric Vehicle regard to the maturity of this technology and its various advantages such as cost, charging facilities, efficiency...etc.

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7

Title : A Methodology to Design an Efficient EM Controller with High Practicability in HEVs Modeling and Optimization

Authors : Ehsan Ghasemimoghadam, Kazuhide Togai, Hisashi Tamaki

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The energy management (EM) problem in hybrid electric vehicles (HEVs) has been extensively interested. Herein, a new approach to improve the EM control logic based on improving control-oriented operations of HEV system via deriving rules with considering the speed tracking feature is proposed. Thus, it leads to design of efficient EM strategies with high practicability. For this purpose, a novel methodology for implementing local search and evolutionary strategy optimization techniques in the EM problem is proposed. In order to realize the proposed method, a generic framework for modelling the HEV-system is proposed which has the desired flexibility and simplicity in implementing in the EM studies. In implementing the mentioned optimization techniques, by focusing on minimizing the overall fuel consumption and controlling the decision variables are taken as an optimization objective where a new heuristic procedure for human operation is proposed. Through computational examples with a series-parallel type on several pre-given driving missions, fuel consumption improvement with sufficient accuracy was observed and the effectiveness of the proposed approach in the finding the improved decision variables resulting in design of efficient EM strategies was confirmed.

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8

Title : Carpooling Characteristics in Large Employment Centers: higher institutions as a case study

Authors : Oluwasegun O Aluko

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Congestion resulting from commuting remains a challenge mobility management is facing. In a developing African city where public transport is poorly managed, many employees who would have happily been a public transport patron strive to drive to work to escape the use of public transport. An alternative to the use of personal auto is carpooling for this group of employees. This paper takes the workplace as research unit to analyse the use of carpooling by higher institution employees in Ado Ekiti, Nigeria. The analysis reveals that a high percentage (63.4%) of employees drive to work while only 12.2% carpool. It also indicates that the ride-sharing practice may not include sharing the cost of travel by the carpooling partners. This analysis gives insight to the which group of people may more likely adopt carpooling and the motivations for it, and may thus contribute to the development of sustainable transport policies.

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9

Title : Hybrid Pareto-front meta-heuristic Algorithm for time series automatic spectral clustering using community detection in complex networks

Authors : Mojtaba Manochehri , Syeed Mohammad Bagher Davoodi , Mohammad Hossain Sajadnia

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Abstract :

One of the issues in the field of social network is finding similar time series using community detection in complex networks, which every community, include one or several complex time patterns of mass data that these patterns called partition. In recent years spectral clustering has been an important issues in clustering algorithm which is a part of np-hard issues and to solve it we can use multi-objective meta-heuristic algorithms such as particle swarm and biogeography, and teaching learning and the improved hybrid algorithm - which we presented in this article. Multi-objective meta-heuristic algorithms has a set of solutions that each can be the most optimal answer from a different perspective. This set of answers in the field of meta-heuristic algorithms and multi-objective optimization is known as Pareto Front. The result of the implementation of multi-objective algorithms shows that the improved algorithm has been able to provide a relatively better solution to rescue from local optimal traps, and the outcomes indicate the promising performance of the hybrid algorithm over the Biogeoraphy based optimization (BBO) and Differential Evolution (DE) algorithms.

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10

Title : Study of Nonlinear Behavior and Chaos Phenomena in Power Inverter

Authors : Sanjeev Kumar, Dr. G.K Banerjee, Dr.Piush Kumar, Rajesh Kumar

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A study has been done for chaos and bifurcation phenomena in a various kind of single and three phase dc to ac inverter along with nine level stepped wave inverter. The converters are simulated using a software package MATLAB/SIMULINK.  It is observed that the inverters moves from periodic operation state to chaotic operation state as bifurcation parameter like input voltage frequency and load to the inverter is changed. The bifurcation pathway includes smooth period-doubling bifurcations as well as border collision bifurcations. Simulated results output voltage and current waveform of single and three phase inverter along with stepped wave inverter are validated by waveforms and FFT spectrum. .Inverters with a large number of steps can generate high quality voltage waveforms. The simulation of single phase three level, three phase h-bridge inverter and nine stepped wave   inverters is done in software Matlab/Simulink. The FFT spectrums for the outputs are compared and presented to validate the proposed control strategy. This information leads a powerful role for designing practical circuits in power electronics.   

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11

Title : Deep Level Characterization Improved by Laplace Charge Transient Spectroscopy

Authors : Shumpei Koike, Kazuo Uchida, Shinji Nozaki

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Deep-level transient spectroscopy (DLTS) has been widely used to electrically characterize the defects in semiconductors. The DLTS spectrum obtained by the rate-window analysis often shows a peak resulting from a transient signal made of two or more exponential signals. In such a case, the energies of the defects responsible for the transient are closely spaced together. The analysis of the transient signal by the inverse Laplace transform is able to resolve a single energy obtained by the rate-window analysis into multiple energies. The charge transient signal is more favored for the inverse Laplace transform than for the capacitance transient signal because the data can be immediately obtained after the pulse by the charge transient spectroscopy (QTS). Using a simulation, the Laplace charge transient spectroscopy has been shown to improve the deep level characterization.

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12

Title : Thermo-Mechanical Modeling of Friction Stir Spot Welding and Numerical Solution With The Finite Element Method

Authors : Ahmet Atak, Aydin Sik, Veysel Ozdemir

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In this paper, friction stir spot welding (FSSW) of magnesium sheets were analyzed using finite element method (FEM). Various tool shoulder types used in Friction stir welding (FSW) were chosen as different parameter. Thermic simulations were showed that thermic conditions vary with tool shoulder design types used in friction stir welding. Heat energy input (Q) of numerical model was solved analytically and calculated based on the various parameter values. Friction factor surface pressure and materials thermic properties which are changing with generated heat during friction welding were also considered in the FEM analysis. Thermic field model was solved numerically and results were presented.

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13

Title : On preconditioned SSOR methods for the linear complementarity problem

Authors : Dan Zhang

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In this paper, we consider the preconditioned iterative methods for solving the linear complementarity problem associated with an M-matrix. Two preconditioned SSOR methods for solving the linear complementarity problem are proposed. The convergence of the proposed methods are analyzed, and the comparison results are derived. The comparison results show that the proposed preconditioned SSOR methods accelerate the convergent rate of the SSOR method. Numerical experiments verify the theory results.

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14

Title : Synthesis of oxygenated compounds from methane, carbon dioxide and liquid water using non-thermal plasma

Authors : J.F Gelves, L. Dorkis, E. Fourre, C. Batiot-Dupeyrat

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Oxygenated compounds were obtained from methane and carbon dioxide using the unconventional activation by dielectric barrier discharge plasma. The process was performed using a multiphase feed composed of methane, liquid water and carbon dioxide as oxidizing agent. The effect of the CH4/CO2 ratio as well as the flow of liquid water were investigated. The results show that the presence of liquid water in the reactor favors the formation of oxygenated compounds. A direct proportional relation between the flow of water, concentration of methane in the gaseous feed (in the presence of water) and the amount of the produced oxygenates was observed. The highest value of selectivity towards oxygenated compounds was 21.2%, with methanol and formic acid being the main products formed.

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15

Title : Orthogonal Optimization Experiment of Steam and Semi-coke Heat Recovery Process

Authors : Xiaoyi Song, Peng Sun, Yanxia Wang, Yongqi Liu

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The material particle diameter, bed height, steam flow is the main factors in affecting steam for the semi-coke waste heat recycled. In order to study the effect of these factors on the recovery of residual heat and steam energy increased, a gas-solid heat transfer experimental system was established. The three factors were optimized to improve the waste heat recovery of the semi-coke, and the optimal combination of these factors was approved by orthogonal experimental method. The results showed that reduce the average particle size, improve the steam flow rate, increased the thickness of the material layer is beneficial to the increase of waste heat recycled. The optimum combination of factors is 7.5kg·h-1 of steam flow, the average particle size of particles is 0.009m, and the thickness of the material layer is 0.6m. The influence degree of the waste heat recovery is particle size, steam flow and layer thickness in turn.

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16

Title : Epidemiological surveillance system of an hospital biohazard level III Cartagena, Colombia

Authors : Alfredo Luis Guzman Marrugo, Elias Bedoya Marrugo, Ibeth Marrugo de Guzman

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The purpose of this text is describe the general health condition of a lending organization of health services for the epidemiological surveillance system for biohazards that allows control and monitor the working conditions of health care personnel exposed to risks of biological type in an institution providing health services third level of complexity. The study applied was mixed approach and developed with 130 workers belonging to different areas with more exposure to biohazards among which stand: surgery, hospitalization, clinical and laboratory priority. He was executed in the city of Cartagena during the first half of 2017. This was achieved by inspecting areas of the company and the comprehensive diagnosis of health conditions and work according to norm GTC 045 version 2008 and Decree 351 2014 on biological risk management, manual management of hospital waste ministry of environment and social protection in 2002. the aforementioned care processes were characterized and risks of these were assessed stating that the process of surgery is the most capable of generating accidents involving biological risks, ending these with the development of an action plan consisting of inspections training to exposed personnel training, and also concluded that it is necessary eliminate sharps and sharps in rigid containers biosafety and practice of recapping needles is the chief cause of accidents work of biological origin found in the institution.

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17

Title : Recent developments and trends for analyzing gait in Parkinson’s Patients: A review

Authors : Asma Channa, Shakir Shakoor Khatti

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Gait impairments are the foremost cause of morbidity in the Parkinson Patients. Due to the characteristics of these gaits varying enormously from normal gait to the freezing of gait, the analysis turns to be very difficult at clinical side. Analyzing gait using the instruments is one of the traditional method giving less accurate results. However, different algorithms and techniques have been implemented recently over the wearable sensor data to analyze, monitor or detect the gait in Parkinson patients. Therefore, the sole purpose of this research study is to explore different techniques used for analyzing gait in Parkinson patients.

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