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28,269 Article Results

Electronic Toll Collection System based on Radio Frequency Identification System

10.11591/ijece.v8i3.pp1602-1610
Raed Abdulla , Aden Abdillahi , Maythem K. Abbas
This papaer entitled electronic toll collection system based on Radio Frequncy Identification System explained in detail based on current issue at toll collection system. There are some obstacles faced every day where the users spent their valuable time in queue at tollgate due to traffic congestion as well as using traditional manual method in most existing toll ETC system to collect toll from road users. Besides that, the barrier design where each vehicle stop waiting until barrier lift which consider source of time delay. To tackle stated problems, an electronic toll collection system is proposed which based on RFID technology. The integrated system consists of two main sections, electronic sides where all input data received from while database management office is where all necessary information stored. To compare the current ETC system, in this research elaborated internet of things where all data transmit through cloud and then to the main office in real time. Not only that, there is some enhancement based on barrier design where, gate is remained open for all vehicles with sufficient tags without requiring to stop to eliminate time delay.By check system throughput compare to existing toll systems, various tests have been carried out in different method where proposed system throughput much higher percentage the current system.
Volume: 8
Issue: 3
Page: 1602-1610
Publish at: 2018-06-01

Security Solutions Using Brain Signals

10.11591/ijai.v7.i2.pp105-110
Anupama. H.S , Anusha M , Aparna Joshi , Apoorva N , N.K. Cauvery , Lingaraju. G.M
A Brain Computer Interface is a direct neural interface or a brain–machine interface. It provides a communication path between human brain and the computer system. It aims to convey people's intentions to the outside world directly from their thoughts. This paper focuses on current model which uses brain signals for the authentication of users. The Electro- Encephalogram (EEG) signals are recorded from the neuroheadset when a user is shown a key image (signature image). These signals are further processed and are interpreted to obtain the thought pattern of the user to match them to the stored password in the system. Even if other person is presented with the same key image it fails to authenticate as the cortical folds of the brain are unique to each human being just like a fingerprint or DNA.
Volume: 7
Issue: 2
Page: 105-110
Publish at: 2018-06-01

Phase-Shifted Full-Bridge Zero Voltage Switching DC-DC Converter Design with MATLAB/Simulink Implementation

10.11591/ijece.v8i3.pp1488-1497
Oladimeji Ibrahim , Nor Zaihar Yahaya , Nordin Saad
Design of phase-shifted full bridge zero voltage switching DC-DC converter has been very challenging due to circuit parasitic effect on the system dynamics. This paper presents steady-state analysis and iterative approach for the systemic design of phase-shifted full bridge DC-DC converter with improved dynamic performance and satisfactory operational requirement in terms of zero-voltage switching range, operating switching frequency and switching resonance. A 3 kW DC-DC converter is designed using the iterative design approach and the system dynamics performance was investigated in the MATLAB/Simulink environment. The converter zero-voltage switching simulation results were satisfactory with 90% efficiency under full load condition.
Volume: 8
Issue: 3
Page: 1488-1497
Publish at: 2018-06-01

0.5 GHz-1.5 GHz Bandwidth 10W GaN HEMT RF Power Amplifier Design

10.11591/ijece.v8i3.pp1837-1843
Shiva Ghandi Isma Ilamaran , Zubaida Yusoff , Jahariah Sampe
With the current development in wireless communication technology, the need for a wide bandwith in RF power amplifier (RF PA) is an essential. In this paper, the design and simulation of 10W GaN HEMT wideband RF PA will be presented. The Source-Pull and Load-Pull technique was used to design the input and output matching network of the RF PA. From the simulation, the RF PA achieved a flat gain between 15dB to 17dB from 0.5GHz to 1.5GHz. At 1.5GHz, the drain efficiency is simulated to achieve 36% at the output power of 40 dBm while the power added efficiency (PAE) was found to be 28.2%.
Volume: 8
Issue: 3
Page: 1837-1843
Publish at: 2018-06-01

High Gain Non Isolated DC-DC Step-up Converters Integrated with Active and Passive Switched Inductor Networks

10.11591/ijpeds.v9.i2.pp679-689
M. Al Mamun , Golam Sarowar , Md. Ashraful Hoque , Mehedi Azad Shawon
High gain dc-dc step up converters have been used in renewable energy systems, for example, photovoltaic grid connected system and fuel cell power plant to step up the low level dc voltage to a high level dc bus voltage. If the conventional boost converter is to meet this demand, it should be operated at an extreme duty cycle (duty cycle closes to unity), which will cause electromagnetic interference, reverse recovery problem and conduction loss at the power switches. This paper proposes a class of non-isolated dc-dc step up converters which provide very high voltage gain at a small duty cycle (duty cycle < 0.5). Firstly, the converter topologies are derived based on active switched inductor network and combination of active and passive switched inductor networks; secondly, the modes of operation of proposed active switched inductor converter and combined active and passive switched inductor converter are illustrated; thirdly, the performance of the proposed converters are analyzed mathematically in details and compared with conventional boost converter. Finally, the analysis is verified by simulation results.
Volume: 9
Issue: 2
Page: 679-689
Publish at: 2018-06-01

Text Mining for Pest and Disease Identification on Rice Farming with Interactive Text Messaging

10.11591/ijece.v8i3.pp1671-1683
Edio da Costa , Handayani Tjandrasa , Supeno Djanali
To overcome pests and diseases of rice farming, farmers always rely on information and knowledge from agricultural experts for decision making. The problem is that experts are not always available when the farmers need and the cost is quite high. Pests and diseases elimination is hard to be done individually since the farmers are lack of knowledge about the pest types that attack the rice fields. The objective of this study is to build a knowledge-based system that can identify pests and diseases interactively based on the information that has been told by the farmers using SMS communication services. The system can provide a convenience way to the farmers in delivering pests and disease problem information using a natural language. The text mining method performs tokenizing, filtering and porter stemming that used to extract important information sent by a SMS service. The method of Jaccard Similarity Coefficient (JSC) was used to calculate similarities of each pest and disease based on symptoms that are sent by the farmers through SMS. The corpus database usedin this study consists of 28.526 root words, 1.309 stop wordsand 180 words list. Pest and disease database reference in this study was obtained from the Ministry of Agriculture and Fisher (MAF) Timor-Leste. The result of the experiment shows that the system is able to identify the symptoms based on the keywords identified with the accuracy of 81%. The result of pest and disease identification has the accuracy of 86%.
Volume: 8
Issue: 3
Page: 1671-1683
Publish at: 2018-06-01

Multi-Objective Evolutionary Programming for Static VAR Compensator (SVC) in Power System Considering Contingencies (N-m)

10.11591/ijpeds.v9.i2.pp880-888
Nor Rul Hasma Abdullah , Mahaletchumi A P Morgan , Mahfuzah Mustafa , Rosdiyana Samad , Dwi Pebrianti
Static VAR Compensators (SVCs) is a Flexible Alternating Current Transmission System (FACTS) device that can control the power flow in transmission lines by injecting capacitive or inductive current components at the midpoint of interconnection line or in load areas. This device is capable of minimizing the overall system losses and concurrently improves the voltage stability. A line index, namely SVSI becomes indicator for the placement of SVC and the parameters of SVCs are tuned by using the multi-objective evolutionary programming technique, effectively able to control the power. The algorithm was tested on IEEE-30 Bus Reliability Test System (RTS). Comparative studies were conducted based on the performance of SVC in terms of their location and sizing for installations in power system.
Volume: 9
Issue: 2
Page: 880-888
Publish at: 2018-06-01

The Analysis of Soft Error in C-Elements

10.11591/ijeecs.v10.i3.pp1013-1022
Norhuzaimin Julai , Ahmed M. A. Haidar , Abdul Rahman Kram
Soft errors are a serious concern in state holders as it can cause temporarily malfunction of the circuit. C-element is one of the state holders that is used widely in the asynchronous circuit. In this paper, the investigation will focus on the vulnerability of two types of C-element towards soft errors. A framework has been proposed for the rate of error due to neutron spectrum energy that can cause failure in the state holder. Effective analysis has been conducted on two different C-elements at different nodes by using UMC90 nm technology and 180nm technology. Based on the vulnerability data, a method for assessing vulnerability on a different implementation of C-elements has been developed. From the obtained data, it can be concluded that SIL is more resistant towards soft errors.
Volume: 10
Issue: 3
Page: 1013-1022
Publish at: 2018-06-01

A New Method for Ball Tracking Based on α-β, Linear Kalman and Extended Kalman Filters Via Bubble Sort Algorithm

10.11591/ijeecs.v10.i3.pp989-999
Hathiram Nenavath , Ravi Kumar Jatoth
Object tracking is one of the challenging issues in computer vision and video processing, which has several potential applications. In this paper, initially, a moving object is selected by frame differencing method and extracted the object by segment thresholding. The bubble sort algorithm (BSA) arranges the regions (large to small) to make sure that there is at least one big region (object) in object detection process. To track the object, a motion model is constructed to set the system models of Alpha-Beta (α-β) filter, Linear Kalman filter (LKF) and Extended Kalman filter (EKF). Many experiments have been conducted on balls with different sizes in image sequences and compared their tracking performance in normal light and bad light conditions. The parameters obtained are the root mean square error (RMSE), absolute error (AE), object tracking error (OTE), Tracking detection rate (TDR), and peak signal-to-noise ratio (PSNR) and they are compared to find the algorithm that performs the best for two conditions.
Volume: 10
Issue: 3
Page: 989-999
Publish at: 2018-06-01

Mathematical Modeling of Photovoltaic Thermal-Thermoelectric (PVT-TE) Air Collector

10.11591/ijpeds.v9.i2.pp795-802
Nurul Syakirah Nazri , Ahmad Fudholi , Mohd Hafidz Ruslan , Kamaruzzaman Sopian
Photovoltaic (PV) cell from solar energy is one of the most widely adopted renewable energy source and commercially available system that can be used in various applications. More appealing application of PV arrays used in thermoelectric (TE) device was it can convert solar thermal energy from temperature difference into electric energy to act as power generators. In this study, a theoretical model is developed by using conducting steady state energy analysis of a PVT-TE air collector. The matrix inversion method is used to obtain energy balance equation. The effect of various parameters also investigated. The mass flow rate of range 0.01 kg/s to 0.05 kg/s and solar intensity of 400 W/m2, 600 W/m2 and 800 W/m2 was used to obtain outlet temperature, To in the range about 28.9oC to 43.7oC and PV temperature, Tp about 35.3oC to 60oC.
Volume: 9
Issue: 2
Page: 795-802
Publish at: 2018-06-01

Performance of a Small-sized Savonious Blade with Wind Concentrator

10.11591/ijeecs.v10.i3.pp1227-1233
Dygku. Asmanissa Awg. Osman , Norzanah Rosmin , Aede Hatib Mustaamal , Siti Maherah Hussin , Md Pauzi Abdullah
This paper presents the performance of a fabricated small-sized Savonious wind turbine with two blades. The design of Savonius vertical axis wind turbine (VAWT) was based on Malaysia wind speed condition. Meanwhile, the design of wind concentrator was based on the dimensions and the constant airflow of an air compressor. From the experimental testing in a laboratory, it was found that the proposed Savonious turbine has best performance when tested using wind concentrator. To conclude, airflow from air compressor can be increased when the proposed wind concentrator is used and hence increasing the proposed VAWT performance in terms of its angular speed (ω), tip speed ratio (TSR) and the generated electrical power (PE).
Volume: 10
Issue: 3
Page: 1227-1233
Publish at: 2018-06-01

The Building of Pulsed NQR/NMR Spectrometer

10.11591/ijece.v8i3.pp1442-1450
Preeti Hemnani , A. K. Rajarajan , Gopal Joshi , S. V. G. Ravindranath
NQR spectrometer designed is composed of four modules; Transmitter, Probe, Receiver and computer controlled (FPGA & Software) module containing frequency synthesizer, synchronous demodulator, pulse programmer and display. The function of the Transmitter module is to amplify the RF pulse sequence to about 200 W power level into the probe (50 Ohm) which is a parallel resonance circuit with a tapped capacitor. The probe excites the nucleus and picks-up the signal emitted from the nuclei. The nuclear signal at the same frequency as the excitation, which is typically in the range of a few microvolts is amplified, demodulated and filtered (1 kHz to 100 kHz) by receiver module. 14N NQR, 1H and 2H NMR signals are observed from the spectrometer.As the SNR of NQR signal is very low, NQR signal processing based on Adaptive Line Enhancement is presented.
Volume: 8
Issue: 3
Page: 1442-1450
Publish at: 2018-06-01

Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm

10.11591/ijece.v8i3.pp1870-1874
Shafqat Ullah Khan , M. K. A. Rahim , Murtala Aminu-Baba , Atif Ellahi Khan Khalil , Sardar Ali
Detection and correction of faulty elements in a linear array have great importance in radar, sonar, mobile communications and satellite. Due to single element failure, the whole radiation pattern damage in terms of side lobes level and nulls. Once we have detect the position of defective element, then correction method is applied to achieve the desired pattern. In this work, we introduce a nature inspired meta-heuristic cuckoo search algorithm to diagnose the position of defective elements in a linear array. The nature inspired cuckoo search algorithm is new to the optimization family and is used first time for fault detection in an array antenna. Cuckoo search algorithm is a global search optimization technique. The cost function is used as a fitness function which defines an error between the degraded far field power pattern and the estimated one. The proposed technique is used effectively for the diagnosis of complete, as well as, for partial faulty elements position. Different simulation results are evaluated for 40 elements Taylor pattern to validate and check the performance of the proposed technique.
Volume: 8
Issue: 3
Page: 1870-1874
Publish at: 2018-06-01

Enhanced Three-Phase Inverter Faults Detection And Diagnosis Approach - Design And Experimental Evaluation

10.11591/ijpeds.v9.i2.pp559-570
Hicham Fadil , Mohamed Larbi Elhafyani , Smail Zouggar
Efficiency, reliability, high power quality and continuous operation are important aspects in electric vehicle attraction system. Therefore, quick fault detection, isolation and enhanced fault-tolerant control for open-switches faults in inverter driving systems become more and more required in this filed. However, fault detection and localization algorithms have been known to have many performance limitations due to speed variations such as wrong decision making of fault occurrence. Those weaknesses are investigated and solved in this paper using currents magnitudes fault indices, current direct component fault indices and a decision system. A simulation model and experimental setup are utilized to validate the proposed concept. Many simulation and experimental results are carried out to show the effectiveness of the proposed fault detection approach.
Volume: 9
Issue: 2
Page: 559-570
Publish at: 2018-06-01

CCCORE: Cloud Container for Collaborative Research

10.11591/ijece.v8i3.pp1659-1670
Salini Suresh , L. Manjunatha Rao
Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.
Volume: 8
Issue: 3
Page: 1659-1670
Publish at: 2018-06-01
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