eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
188
195
73108
Highly Sensitive Amperometric Sensor Based on Gold Nanoparticles Polyaniline Electrochemically Reduced Graphene Oxide Nanocomposite for Detection of Nitric Oxide
E Pashai
1
G. D Najafpour
ije.editor8@gmail.com
2
M Jahanshahi
3
M. Rahimnejad
4
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
A sensitive electrochemical sensor was fabricated for selective detection of nitric oxide (NO) based on electrochemically reduced graphene (ErGO)-polyaniline (PANI)-gold nanoparticles (AuNPs) nanocomposite. It was coated on a gold (Au) electrode through stepwise electrodeposition to form AuNPs-PANI-ErGO/Au electrode. The AuNPs-PANI-rGO nanocomposite was characterized by Field Emission Scanning Electron Microscopy (FESEM) and UV-vis. Electrochemical behavior of modified electrode was analyzed by cyclic voltammetry (CV) and chronoamperometry (CA) techniques. CVs of AuNPs-PANI-ErGO/Au, PANI-ErGO/Au and ErGO/Au electrodes showed that conductivity of AuNPs-PANI-ErGO/Au was higher than others. Nafion was used to improve selectivity of modified electrode. Nafion/AuNPs-PANI-ErGO/Au electrode represented favorable electrochemical and electrocatalytic behavior towards NO oxidation. The resultant electrode exhibited a high sensitivity of 0.113 μA/μM over a wide linear range from 0.8 × 10−6 to 86 × 10−6 M with a low detection limit of 2.5 × 10−7 M (S/N=3). In addition, the sensor had excellent stability, as well as reproducibility and selectivity, which makes it possible to detect NO quickly and accurately.
https://www.ije.ir/article_73108_0e1bbb77c7c34bedad572e6a3e15b5af.pdf
Nitric oxide sensor
Reduced graphene Oxide
Gold Nanoparticle
Polyaniline
Cyclic Voltammetry
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
196
203
73109
A Simplified Modal Pushover Analysis-based Method for Incremental Dynamic Analysis of Regular RC Moment-resisting Frames
M Jalilkhani
m.jalilkhani@urmia.ac.ir
1
A. R Manafpour
a.manafpour@urmia.ac.ir
2
Department of Civil Engineering, Urmia University, Urmia, Iran
Department of Civil Engineering, Urmia University, Urmia, Iran
Incremental Dynamic Analysis (IDA) procedure is now considered as a robust tool for estimating the seismic sidesway collapse capacity of structures. However, the procedure is time-consuming and requires numerous nonlinear response-history analyses. This paper proposes a simplified Modal Pushover Analysis (MPA) procedure for IDA of RC moment-resisting frames. The proposed method uses the dynamic response of an equivalent single-degree-of-freedom (SDOF) system, characterized by a bilinear relationship between the lateral force (F) and roof-displacement (D). The F-D relationship is determined by the ‘first-mode’ pushover analysis of the structure. Four regular RC moment-resisting frames designed based on the current US building codes are selected and subjected to the proposed method. The analysis results obtained from the original MPA-based IDA method, SPO2IDA and the method proposed by Shafei et al are also presented for comparison. The performance of the proposed method is then evaluated through comparisons with the results obtained from IDAs. The results show that the proposed method is able to efficiently estimate the dynamic capacity of the example buildings for different seismic performance levels. Nonetheless like to MPA-based IDA and SPO2IDA methods less accueate results are obtained by the proposed procedure for 16% and 84% IDA fractiles in most case studies.
https://www.ije.ir/article_73109_2346d2c9c1cb79193209209fa889f9c0.pdf
sidesway collapse capacity
Pushover analysis
IDA method
RC moment
resisting frame
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
204
211
73110
Comparative Research on Optimal Damping Matching of Seat System for an off-Highway Dump Truck
L Zhao
zhaoleilei611571@163.com
1
Y Yu
yuyuewei2010@163.com
2
C Zhou
greatwall@sdut.edu.cn
3
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China
To protect the driver of off-highway dump trucks from the harmful vibration, this paper presents the comparison results to determine the optimal damping of the seat system by different optimization design plans. Three optimization schemes are considered including individually optimizing the damping of the cushion, individually optimizing the damping of the seat suspension, and integrately optimizing both of them. To compare the three optimization schemes, the seat system for an off-highway dump truck is taken as the baseline model. Initially, the parameters of the cushion, the seat suspension, and the air spring for the seat system were determined by corresponding test and the nonlinear dynaimic model of the seat system was created. Then, the model was validated by the test data from the field measurement. Subsequently, on the basis of the measured seat base acceleration, the corresponding damping coefficients under the three schemes were optimized. Finally, the road tests were conducted to verify and compare the degree of the comfort improvement. The results show that there is a relative smaller room for the comfort improvement by individually optimizing the cushion or by individually optimizing the seat suspension. The integrated optimization is the best to improve the comfort.N
https://www.ije.ir/article_73110_9a1c44e0cdc3ab9317668e1a6ee299ee.pdf
dump truck
harmful vibration
seat system
damping matching
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
212
219
73111
Wave Energy Dissipation Using Perforated and Non Perforated Piles
M Feizbahr
m.feizbahr@gmail.com
1
C Kok Keong
cekkc@usm.my
2
F Rostami
fa.rostami@gmail.com
3
M Shahrokhi
mshotm2000@yahoo.com
4
School of Civil Engineering, Engineering Campus, University Sains Malaysia, Nibong Tebal , Penang, Malaysia
School of Civil Engineering, Engineering Campus, University Sains Malaysia, Nibong Tebal , Penang, Malaysia
Department of Civil Engineering, North Tehran branch, Islamic Azad university, Tehran, Iran
Ghiaseddin Jamshid Kashani Higher Education Institute, Iran
The indispensable vital structure in any harbor is a breakwater in order to make available calm water region inshore. Pile breakwater can be employed as a small coastal protection structure where tranquility required is low. This study is concerned with CFD study on the performance of perforated hollow pile to dissipate wave energy and the novelty of this investigation is the role of perforation layout in dissipating energy of water. Pile models under two different incident waves with constant water depth and wave amplitude have been classified into two groups with two different wavelengths, making a total of 10 models which has been simulated numerically by computational flow solver FLOW 3D. The analytical results of simulations show changes in the velocity profiles after piles while dissipation happened in the vicinity of the pile. The result implied the perforated models can perform better than the non-perforated ones and energy dissipation was found much more significant in perforated piles.
https://www.ije.ir/article_73111_372caa75bf3b419355a660e2bc44eb24.pdf
Breakwater
Perforation
hollow piles
Flow 3D
wave modeling
Coastal
Protection
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
220
227
73112
A Macro-model for Nonlinear Analysis of 3D Reinforced Concrete Shear Walls
M Heidari
farhad167@yahoo.com
1
F Behnamfar
farhad@cc.iut.ac.ir
2
H Zibasokhan
zibasokhan@gmail.com
3
Department of Civil Engineering, Isfahan University of Technology, Esfahan, Iran
Department of Civil Engineering, Isfahan University of Technology, Esfahan, Iran
Department of Civil Engineering, Isfahan University of Technology, Esfahan, Iran
Architectural limitations in many situations make it necessary for the RC shear walls to be extended in plan in different directions at a single location that makes them a 3D configuration. Analysis of such walls is very challenging. In this research about 450 cases of 3D shear walls are considered with different shapes and heights. L, T and H-shape walls are studied. They are nonlinearly analyzed in Abaqus using a micro-model, i.e. the finite element modeling and analysis. A meso-modeling approach using fiber elements is also examined in Opensees. It is shown that the meso-model is both accurate enough and much faster than the micro modeling approach. To go further, a macro-model is developed in bending in which the nonlinear behavior is assumed to be concentrated at the base of the wall using a rotational spring. The axial force, shape of the cross section, percentage of the longitudinal reinforcement and the aspect ratio of the wall are recognized to be the main parameters defining characteristics of the rotational spring. Using regression, semi-analytical formulas are suggested for rapid determination of the moment-rotation curve of the rotational spring. Comparison with micro-model and experimental results confirm the good accuracy of the developed macro-model.
https://www.ije.ir/article_73112_11f1ef59fc0afe6439e5e8016e46484d.pdf
micro model
meso model
macro model
Nonlinear analysis
3D RC shear wall
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
228
240
73113
Evaluation of Project Critical Success Factors for Key Construction Players and Objectives
M Asgari
m14202@yahoo.com
1
A Kheyroddin
kheyroddin@semnan.ac.ir
2
H Naderpour
3
Faculty of Civil Engineering, Semnan University, Semnan, Iran
Faculty of Civil Engineering, Semnan University, Semnan, Iran
Faculty of Civil Engineering, Semnan University, Semnan, Iran
Critical Success Factors (CSFs) are used to support and evaluate the success of a strategic and tactical approach in project implementation in order to increase the probability of success. This system is used by executors in project delivery to achieve improved performance capabilities with limited resources. The present paper aims to identify the impact of CSFs amongst the main elements involved in construction industry of projects in Iran (Owner, Contractor, and Consultant). Therefore, 41 CSFs-related indices based on present research conditions in Iran were selected and classified into five major categories: (1) Financial, (2) Interactive Processes, (3) Human Resources, (4) Contractual Arrangements, and (5) Project Characteristics. To analyze the CSFs of project, the required data were collected by questionnaire based on randomized sampling method by project managers, chief executive officers, and experts of construction industry of Owners, Contractors, and Consultant who have working experience in major projects in Iran. The results indicated that indices related to human resources group from the point of view of Owners and Contractors as well as the indices related to financial and project participants from the point of view of Consultant are the main success priorities in projects. Moreover, the indices of “adequacy of plans and specifications” and “Project manager competency” were elected indices common in previous and present studies. The results of this study will provide the project managers with practical solutions in order to benefit the findings as guidelines for CSFs formation according to Construction projects in Iran.
https://www.ije.ir/article_73113_e2d1fe50ee0465ffa617617a3a0233b4.pdf
project success
Critical Success Factor
construction project
client
Contractor
Consultant
Iran
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
241
249
73114
Improving Super-resolution Techniques via Employing Blurriness Information of the Image
S. J Seyyedyazdi
seyyedyazdi@gmail.com
1
H Hassanpour
h_hassanpour@yahoo.com
2
Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran
Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran
Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the image acquisition device, while in practice, there are some other factors that blur the LR images, such as diffraction, motion of the object and/or acquisition device, atmospheric blurring and defocus blur. To apply the super-resolution process accurately, we need to know the degradation model applied on HR image leading to LR ones. In this paper, we aim to use the LR images blurriness to find the blurring kernel applied on the HR image. Hence we setup a simulation experiment in which the blurring kernel is limited to be one of the predetermined kernels. In the experiment, the blurriness of the LR images is supposed to be unknown, and is estimated using a blur kernel estimation method. Then the estimated blur kernels of the LR images are fed to an artificial neural network (ANN) to determine the blur kernels associated with the HR image. Experiment results show the use of determined blur kernels improves the quality of output HR image.
https://www.ije.ir/article_73114_b33f2b332b7970297cc7d675a39f0ebf.pdf
Super
Resolution
Blur kernel
Blur Kernel Estimation
Neural Network
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
250
262
73115
An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering
A Salarpour
a.salrpour@basu.ac.ir
1
H Khotanlou
khotanlou@basu.ac.ir
2
RIV Lab, Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran
RIV Lab, Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran
Multivariate time series (MTS) data are ubiquitous in science and daily life, and how to measure their similarity is a core part of MTS analyzing process. Many of the research efforts in this context have focused on proposing novel similarity measures for the underlying data. However, with the countless techniques to estimate similarity between MTS, this field suffers from a lack of comparative studies using quantitative and large scale evaluations. In order to provide a comprehensive validation, an extensive evaluation of similarity measures for MTS clustering were conducted. The 14 well-known similarity measures with their variants and testing their effectiveness on 23 MTS datasets coming from a wide variety of application domains were re-implemented. In this paper, an overview of these different techniques is given and the empirical comparison regarding their effectiveness based on agglomerative clustering task is presented. Furthermore, the statistical significance tests were used to derive meaningful conclusions. It has been found that all of similarity measures are equivalent, in terms of clustering F-measure, and there is no significant difference between similarity measures based on our datasets. The results provide a comparative background between similarity measures to find the most proper method in terms of performance and computation time in this field.
https://www.ije.ir/article_73115_dc2af9637eb33f66a097bacc5ae811eb.pdf
Multivariate time series
Similarity measures
Clustering
evaluation
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
263
269
73116
Load Balancing Approaches for Web Servers: A Survey of Recent Trends
A Shukla
anjushukla.iiitb@gmail.com
1
S Kumar
dr.shishir@yahoo.com
2
H Singh
harikeshsingh@yahoo.co.in
3
Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, MP, India
Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, MP, India
Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, MP, India
Numerous works has been done for load balancing of web servers in grid environment. Reason behinds popularity of grid environment is to allow accessing distributed resources which are located at remote locations. For effective utilization, load must be balanced among all resources. Importance of load balancing is discussed by distinguishing the system between without load balancing and with load balancing. Various performance metrics that need to be considered for designing an efficient load balancing algorithm are also described. Intensive review of literature of different load balancing approaches for web servers have been carried out and presented in this paper. On the basis of literature survey, a new dynamic load balancing mechanism is proposed for optimizing waiting time and cost.
https://www.ije.ir/article_73116_57ea9dd978419e5b3d9ef7b4ba8a1ed9.pdf
Load Balancing
load migration
QoS
delay
Queueing
cost optimization and web server
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
270
277
73117
A Simple General-purpose I-V Model for All Operating Modes of Deep Submicron MOSFETs
S Valiollahi
s.valiollahi@stu.nit.ac.ir
1
G Ardeshir
g.ardeshir@nit.ac.ir
2
Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
A simple general-purpose I-V model for all operating modes of deep-submicron MOSFETs is presented. Considering the most dominant short channel effects with simple equations including few extra parameters, a reasonable trade-off between simplicity and accuracy is established. To further improve the accuracy, model parameters are optimized over various channel widths and full range of operating voltages using a heuristic optimization algorithm. The obtained results demonstrate only 1.28% and 0.97% average error in IBM 0.13um CMOS technology for NMOS and PMOS, respectively, comparing with the accurate physically-based BSIM3 model. Furthermore, the tolerance of the model accuracy against parameters variation is investigated.
https://www.ije.ir/article_73117_3b4c9587a59f551d194d7b7f70e6d543.pdf
deep submicron
heuristic optimization
MOSFET modeling
nth
Power law model
short channel effects
Sub
threshold current
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
278
283
73118
Intelligent Traffic Management System for Prioritizing Emergency Vehicles in a Smart City (TECHNICAL NOTE)
L Sumi
lucysumi866@gmail.com
1
V Ranga
virender.ranga@nitkkr.ac.in
2
Department of Computer Engineering, National Institute of Technology, Kurukshetra, India
Department of Computer Engineering, National Institute of Technology, Kurukshetra, India
Traffic congestion worldwide has led to loss of human lives due to failure in transporting accident victims, critical patients, medical equipment and medicines on time. With the unending growth in vehicular traffic everywhere, Internet of Things (IOT) and Vehicular Ad Hoc Network (VANET) have embarked as a promising platform for an Intelligent Traffic Management System (ITMS). Many researches have been done to clear emergency vehicles, but they have not only failed to meet the target travel time of an emergency vehicle, but also failed to provide solutions, when traffic signals are hacked. This paper proposes an intelligent traffic management system for a Smart City that is inspired by the concepts of IoT and VANET. In the proposed solution, emergency vehicles are scheduled to prioritize them for a smooth passage through the traffics based on incident type. It not only navigates ambulances in finding the shortest possible paths till their destination, but also presents a solution to detect and respond to hacking of traffic signals. To show the superiority of our proposed system, a simulated environment modeling actual roads and vehicle movements has been demonstrated using CupCarbon simulator. Comparative results exhibits superior performance of our proposed system over the other recently proposed ITS for emergency vehicles, in terms of both congestion avoidance, transmission delay, travel time and respond to hacking.
https://www.ije.ir/article_73118_56f9e3f8e7c5524184836f0b6cab2d25.pdf
Internet of Things (IoT)
Vehicular Ad
hoc network (VANET)
Intelligent Traffic Management System (ITMS)
Emergency vehicles
Road Side Units (RSUs)
Smart Cities
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
284
291
73119
Virtual Flux Based Direct Power Control on Vienna Rectifier
M Rasouli Khatir
miladr20@yahoo.com
1
H Ghoreishy
hghoreishy@gmail.com
2
S. A. Gholamian
gholamian@nit.ac.ir
3
Electrical and Computer Engineering, Babol Noushirvany University of Technology, Babol, Iran
Electrical and Computer Engineering, Babol Noushirvany University of Technology, Babol, Iran
Electrical and Computer Engineering, Babol Noushirvany University of Technology, Babol, Iran
This paper proposes the virtual flux based direct power control for Vienna rectifier. No need for the input voltage sensors, the current regulation loop and PWM voltage modulation block along with the active and reactive power decoupling are some of the salient advantages of this method that make it suitable for controlling the conventional active rectifiers. However, due to the three-level nature of the Vienna configuration, balancing the output capacitors voltages is inevitable leading to a modified virtual flux based technique. Applying this modification, a separate switching table has been jammed into the proposed technique in order to control the capacitors voltages. Simulation results show the superiority of the virtual flux technique over the conventional Vienna control techniques from point of the mentioned advantages.
https://www.ije.ir/article_73119_6b1191945834c227e92e8ae2113f8e44.pdf
Capacitor voltage balancing
Direct power control
Vienna rectifier
Virtual flux
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
292
298
73120
Low Power March Memory Test Algorithm for Static Random Access Memories (TECHNICAL NOTE)
G Rajesh Kumar
kavi.aeiou@gmail.com
1
K Babulu
kapbbl@gmail.com
2
Department of Electronics and Communication Engineering, JNTUK, Kakinada, India
Department of Electronics and Communication Engineering, JNTUK, Kakinada, India
Memories are most important building blocks in many digital systems. As the Integrated Circuits requirements are growing, the test circuitry must grow as well. There is a need for more efficient test techniques with low power and high speed. Many Memory Built in Self-Test techniques have been proposed to test memories. Compared with combinational and sequential circuits memory testing utilizes more amount of power. Test circuitry is intensively used for memory testing. This may cause excessive power consumption during memory testing. Sophisticated and efficient techniques with less overhead on power must be needed. Regarding memories, power consumption is very much high during testing when compared with normal functional mode. March test algorithms are popular testing techniques used for memory testing. Power consumption during testing can be reduced by reducing the switching activity in test circuitry. A new test technique is proposed in this paper to reduce power consumption in test mode by reducing the switching activity in Built in Self-Test circuitry. Address sequencing in the address decoder is changed in such a way that it reduces switching activity.
https://www.ije.ir/article_73120_e4e1f3db582291ad1147d461172779e8.pdf
Built in Self
Test (BIST)
Low Power Test
March Test Algorithm
Memory Built in Self
Test (MBIST)
Memory Testing
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
299
306
73121
Optimal Locating and Sizing of Unified Power Quality Conditioner- phase Angle Control for Reactive Power Compensation in Radial Distribution Network with Wind Generation
A Moradi
alireza.moradi@semnan.ac.ir
1
Y Alinejad-Beromi
yalinejad@semnan.ac.ir
2
M Parsa
mehrdadparsa.ac@gmail.com
3
M Mohammadi
eng.alireza.moradi@gmail.com
4
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran
Faculty of Electrical Engineering, Islamic Azad University of Damghan, Semnan, Iran
Faculty of Electrical Engineering, Islamic Azad University of Semnan, Semnan, Iran
In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of nodes with voltage drop, and capacity of UPQC. The proposed model is a complicated non-linear optimization problem. For introducing group of non-dominated solutions, a multi-objective grey wolf optimizer (MOGWO) algorithm based on probabilistic load flow is used, then a fuzzy sets theory is used to achieve the best response. In order to evaluate reliability of mentioned approach, simulation is done on 33-bus distribution network.
https://www.ije.ir/article_73121_c8cb4a22595db2c5ef1ff8e0f09f7522.pdf
fuzzy sets theory
multi
objective grey wolf optimizer (MOGWO)
radial distribution network
Reactive power compensation
unified power quality conditioner (UPQC)
wind generation
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
307
314
73122
The Influence of DC-Link Voltage on Commutation Torque Ripple of Brushless DC Motors with Two-Segment Pulse-width Modulation Control Method
S Gol
gol@nit.ac.ir
1
G Ardeshir
g.ardeshir@nit.ac.ir
2
M Zahabi
zahabi@nit.ac.ir
3
A Ale Ahmad
a.ahmad@nit.ac.ir
4
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
The commutation process causes current ripple to be generated in the drive system of brushless DC (BLDC) motor. This, in turn, leads to output torque ripple. Mechanical vibration and acoustic noise are its influences which are undesirable phenomenon in some applications. A new method is presented in this paper which reduces torque ripple and commutation period in the entire range of motor speed. This method is designed and implemented based on two-segment pulse-width modulation (PWM) and DC-link voltage doubling during commutation. Based on the presented theory and given the influence of DC-link voltage on ripple magnitude, some experiments are carried out in which simultaneous association of the above mentioned factors in reducing current ripple and commutation time in the entire speed range of rotor has been proved. The experimental results show that the current ripple magnitude in high speed range is almost 20 times less than conventional method based on H-PWM_L-ON technique.
https://www.ije.ir/article_73122_823323963a2afafe286648d56110598a.pdf
Brushless DC Motors
motor drive system
commutation torque ripple
Pulse
Width Modulation
DC
link voltage
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
315
321
73123
A New Structure for 6 Bit Distributed MEMS Transmission LinePhase Shifter in Ku Band
A Gharehkhani
a.gharekhani@urmia.ac.ir
1
E Abbaspour-Sani
e.abbaspour@urmia.ac.ir
2
Department of Electrical Engineering, Urmia University, Urmia, Iran
Department of Electrical Engineering, Urmia University, Urmia, Iran
In this paper a new design for 6 bit DMTL phase shifter with only 32 MEMS switches is proposed. The reduction in number of switches in ordinary 6 bit phase shifter from 63 to 32 is due to combination of one 5.625 degree for least significant bit and 11.25 degree for the rest of the switches. Decreasing the number of the switches reduces the die-size as well as loss of the CPW line. Analytical study and simulation with HFSS and COMSOL software is carried out for the proposed structure. Maximum return loss of phase shifter is -10.5 dB and mean RMS phase error is 1.4o . Although two different structural switches are used but the pull in voltages are identical. The total structure size is 1.5*18.5 mm2 , and surface micromachining process is proposed for the phase shifter.
https://www.ije.ir/article_73123_8106f9b9b7bd851bd385c8f8b13fafe5.pdf
MEMS
shunt capacitive switch
DMT phase shifter
actuation voltage
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
322
330
73124
Stability and Robust Performance Analysis of Fractional Order Controller over Conventional Controller Design
P Kumar
parvendraiitr@gmail.com
1
S Kumar Chaudhary
kumar_csunil@yahoo.co.in
2
Electrical Engineering Department, SunRise University, Alwar, Rajasthan, India
Electrical Engineering Department, SunRise University, Alwar, Rajasthan, India
In this paper, a new comparative approach has been proposed for reliable controller design. Scientists and engineers are often confronted with the analysis, design, and synthesis of real-life problems. The first step in such studies is the development of a 'mathematical model' which can be considered as a substitute for the real problem. The mathematical model is used here as a plant. Fractional integrals and derivatives have found wide application in the control of dynamical systems when the controlled system and the controller are described by a set of fractional order differential equations. Here the stability of fractional order system is checked at the different level and it is found that the stability region is large in the complex plane. This large stability region provides the more flexibility for system implementation in the control engineering. Generally, an analytically or experimentally approaches are used for designing the controller. If a fractional order controller design approach used for a given plant then the controlled parameter gives the better result.
https://www.ije.ir/article_73124_407834143a4e0793c81249dbeabacadf.pdf
fractional order controller
fractional order calculus
Stability
performance analysis
MATLAB
Function Under Class
Ziegler
Nichols Method
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
331
338
73125
Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
R Saleh
r.saleh@birjand.ac.ir
1
H Farsi
hfarsi@birjand.ac.ir
2
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which contains elements of several classes, a base classifier is trained. Thus, an ensemble of classifiers has been formed which each of them acts professionally in a part of the feature space. To achieve more diversity, the data set is independently partitioned into variable number of clusters by classifier and K-means algorithm. To combine outputs of different arrangements, majority voting, Naïve Bayes and a heuristic combination rule with taking into account the classification accuracy and reliability (which in PolSAR classification less attention has been paid to it) as objective functions, are used. The experimental results over two PolSAR images prove effectiveness of the proposed algorithms in comparison to the baseline methods.
https://www.ije.ir/article_73125_071b7337fbfd52421139065ef7891252.pdf
PolSAR data
Ensemble classification
Global
local classification
H/α classifier
Clustering
Multi objective Optimization
Reliability
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
339
345
73126
Design, Optimization and FEM Analysis of a Surface-Mounted Permanent-magnet Brushless DC Motor
H Moradi Cheshmeh Beigi
hmch1580@yahoo.com
1
Electrical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
In this paper a fast analytical algorithm for design a surface-mounted PM Brushless DC motor (SMPM-BLDC) for variable-speed application based on electromagnetic field analysis and RSM optimization algorithm is discussed. To achieve the desired performance, the physical dimensions of the proposed SMPM-BLDC motor subject to minimal ripple torque utilizing RSM optimization algorithm were optimized. Finally, to evaluate the motor performance and confirm the accuracy of the proposed design procedure 2-D Finite Element (FE) analysis were employed. The obtained numerical analysis results explain the accuracy and effectiveness of the proposed machine design methodology.
https://www.ije.ir/article_73126_75b70b79d6c9d0c2061d22edf8393588.pdf
PMBLDC
finite element analysis
Analytical model
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
346
356
73127
Closed-loop Supply Chain Inventory-location Problem with Spare Parts in a Multi-Modal Repair Condition
M Yadegari
mahshid.yadegary@ut.ac.ir
1
R Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
2
G Ahmadi
ahmadigh@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
In this paper, a closed-loop location-inventory problem for spare parts is presented. The proposed supply chain network includes two echelons, namely (1) distribution centers (DCs) and repairing centers (RCs) and (2) operational bases. Multiple spare parts are distributed among operational bases from distribution centers in the forward supply chain and failed spare parts from operational bases are sent back to the repairing centers to receive multi-modal repair services in the reverse supply chain. The problem is formulated as a mixed-integer nonlinear programming model for the location-allocation problem that tries to choose which DCs and RCs to be opened and to determine the repair service mode of each failed items with objective function minimizing the total cost. Furthermore, the validation of the model is tested by GAMS software for small-sized problem, and particle swarm optimization (PSO) is proposed to solve large-sized problems in a rescannable time. Finally, several sensitivity analyses are presented to evaluate the proposed model.
https://www.ije.ir/article_73127_a921bb48f8539d1859f0aa2f66364c05.pdf
Spare parts
Supply chain
Inventory
Location problem
Particle Swarm Optimization
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
357
364
73128
Optimal Policy of Condition-Based Maintenance Considering Probabilistic Logistic Times and the Environmental Contamination Issues
H Rahimi Komijani
hosseinrahimi1341@gmail.com
1
M Shahin
mahdi_shahin12@yahoo.com
2
A Jabbarzadeh
arminj@iust.ac.ir
3
Departement of Industrial Engineering, K.N. Toosi University,Tehran, Iran
Departement of Industrial Engineering, Science and Technology University,Tehran, Iran
Departement of Industrial Engineering, Science and Technology University,Tehran, Iran
One important issue in using the industrial and manufacturing facilities is to consider their impacts on the environment. Many of these equipment have negative effects on the environment when operated for sometimes. In this research the probabilistic logistic times and the destructive effects for maintenance are studied and appropriate model is suggested and evaluated. The aim of the proposed model is to optimize the total costs by determining the optimal inspection times by means of genetic algorithm. The results indicate that the proposed model improves the costs of maintenance.
https://www.ije.ir/article_73128_75b421c6cc080bbd1d99daab96120497.pdf
Adverse impacts on the environment
Probabilistic logistic time
Optimal inspection times
Genetic Algorithm
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
365
373
73129
A Multi-objective Hierarchical Location-allocation Model for the Healthcare Network Design Considering a Referral System
M Maleki Rastaghi
mahsamaleki72@gmail.com
1
F Barzinpour
barzinpour@iust.ac.ir
2
M. S Pishvaee
pishvaee@iust.ac.ir
3
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
This paper presents a multi-objective and multi-service location-allocation model with capacity planning to design a healthcare facilities network through considering a referral system. Therefore, a mixed integer nonlinear programming (MINLP) model containing two objective functions is proposed. The first objective function is relates to minimization of total opening cost, minimization of total set up cost of different types of services and minimization of total traveled distance by patients to reach each facility. The second objective function in the model aims to minimize maximum normalized workload between opened facilities in each level. Specifying location of different facilities, allocating patients zones to family physician centers, establishing an optimal flow between different levels in the network and determining the optimal capacity for different specialized and super specialty facilities are main strategic and tactical decisions in the proposed model. In order to solve the proposed model and arrive at Pareto solutions, a primary nonlinear integer program is transformed to linearize the model and then, an augmented -constraint method is applied on numerical examples. Finally, the results obtained by sensitivity analysis on the main parameters are reported to show that the presented model can be used to design a multi-level healthcare facility network.
https://www.ije.ir/article_73129_7191547c1a8311e212712e9f8632ddb9.pdf
Healthcare network design
Location
Allocation
Referral system
capacity planning
Family physician centers
Augmented ε
Constraint
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
374
381
73130
Automotive Vendor\'s Performance Evaluation and Improvement Plan Presentation by Using a Data Envelopment Analysis
M Sadat Rezaee
m.rezaee90@yahoo.com
1
A Haeri
ahaeri@iust.ac.ir
2
S Nouri
snoori@iust.ac.ir
3
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
Vendors play a key role in their company's success, so having a vendor's performance evaluation system in order to identify strengths, areas of improvement and profitability in any company is essential. In this paper, first data envelopment analysis (DEA) which is a technique to evaluate the performance of decision-making units (DMUs) is studied. Then the efficiency scores of 66 automotive vendors based on the DEA (CCR) are calculated using Lingo software. Then, based on the efficiency scores of each vendor, improvement plan with the help of the dual DEA model is presented to increase efficiency scores of inefficient vendors. Finally, it will be clear that each inefficient vendor for improving the inefficiency should focus on which of the factors.
https://www.ije.ir/article_73130_74ab0fd607bd5b299b697e37003bbe6f.pdf
Data Envelopment Analysis
Efficiency score
Decision making units (DMU)
the dual DEA model
Improvement plan
automotive Industry
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2018-02-01
31
2
382
393
73131
Modelling of Conventional and Severe Shot Peening Influence on Properties of High Carbon Steel via Artificial Neural Network
E Maleki
maleky.erfan@gmail.com
1
G. H Farrahi
farrahi@sharif.edu
2
Department of Mechanical Engineering, Sharif University of Technology-International Campus, Kish Island, Iran
School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Shot peening (SP), as one of the severe plastic deformation (SPD) methods is employed for surface modification of the engineering components by improving the metallurgical and mechanical properties. Furthermore artificial neural network (ANN) has been widely used in different science and engineering problems for predicting and optimizing in the last decade. In the present study, effects of conventional shot peening (CSP) and severe shot peening (SSP) on properties of AISI 1060 high carbon steel were modelled and compared via ANN. In order to networks training, the back propagation (BP) error algorithm is developed and data of experimental test results are employed. Experimental data illustrates that SSP has superior influence than CSP to improve the properties. Different networks with different structures are trained with try and error process and the one which had the best performance is selected for modeling. Testing of the ANN is carried out using experimental data which they were not used during networks training. Distance from the surface (depth), SP intensity and coverage are regarded as inputs and microhardness, residual stress and grain size are gathered as outputs of the networks. Comparison of predicted and experimental values indicates that the networks are tuned finely and adjusted carefully; therefore, they have good agreement.
https://www.ije.ir/article_73131_af2e1459e38fa5d60b5c7f79356cf47f.pdf
Artificial Neural Network
severe shot peening
Residual Stress
Coverage
Almen intensity