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29,922 Article Results

Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced with analytic hierarchy process (AHP)

10.11591/ijece.v9i6.pp5537-5544
Ahmad Fitri Mazlam , Wan Nural Jawahir Hj Wan Yussof , Rabiei Mamat
All syariah criminal cases, especially in khalwat offence have their case-fact, and the judges typically look forward to all the facts which were tabulated by the prosecutors. A variety of criteria is considered by the judge to determine the fines amount that should be imposed on an accused who pleads guilty. In Terengganu, there were ten (10) judges, and the judgments were made by the individual decision upon the trial to decide the case. Each judge has a stake, principles and distinctive criteria in determining fines amount on an accused who pleads guilty and convicted. This research paper presents an Adaptive Neuro-fuzzy Inference System (ANFIS) technique combining with Analytic Hierarchy Process (AHP) for estimating fines amount in Syariah (khalwat) criminal. Datasets were collected under the supervision of registrar and syarie judge in the Department of Syariah Judiciary State Of Terengganu, Malaysia. The results showed that ANFIS+AHP could estimate fines efficiently than the traditional method with a very minimal error.
Volume: 9
Issue: 6
Page: 5537-5544
Publish at: 2019-12-01

The direct power control of three-phase AC-DC converter under unbalance voltage condition

10.11591/ijece.v9i6.pp5107-5114
Nor Azizah Yusoff , Azziddin M. Razali , Kasrul Abdul Karim , Auzani Jidin
This paper has presents the integrated approach for three-phase PWM AC-DC converter for obtaining the symmetrical components under unbalanced supply condition. The input structures for conventional direct power control have been modified with three simpler sequence networks instead it coupled by a detailed three-phase system method. In the cases of an unbalanced three-phase system, it causes the presence of unbalanced current and voltages thus produce the negative components on the grid voltage. Otherwise, the unbalance voltage in a three-phase power system causes severe performance degradation of a grid-connected VSI. Therefore, the imbalance voltage can be resolved by separating from the individual elements of voltage and current into symmetrical components called as a sequencing network. Consequently, the input power is relatively improved during unbalanced condition. It proven through the measurement of Total Harmonic Distortion (THD) from the conventional direct power control in individual elements is much higher compared than it resolved in separate components. Therefore, three symmetrical components are necessary for imbalance supply condition to obtaining almost sinusoidal grid currents.
Volume: 9
Issue: 6
Page: 5107-5114
Publish at: 2019-12-01

Active and reactive power flow management in parallel transmission lines using static series compensation (SSC) with energy storage

10.11591/ijece.v9i6.pp4598-4609
Mohammed Yahya Suliman
The power flow controlled in the electric power network is one of the main factors that affected the modern power systems development. The Static Series Compensatior with storage energy, is a FACTS powerful device that can control the active power flow control of multiple transmission lines branches. In this paper, a simulation model of power control using static series compensator with parallel transmission lines is presented.  The control system using adaptive neuro-fuzzy logic is proposed. The results show the ability of static series compensator with storage energy to control the flow of powers components "active and reactive power" in the controlled line and thus the overall power regulated between lines. 
Volume: 9
Issue: 6
Page: 4598-4609
Publish at: 2019-12-01

Experimental investigation of artificial intelligence applied in MPPT techniques

10.11591/ijpeds.v10.i4.pp2138-2147
Saidia Della Krachai , A. Boudghene Stambouli , M. Della Krachai , M. Bekhti
Nano-satellites are key features for sharing the space data and scientific researches. They embed subsystems that are fed from solar panels and batteries. Power generated from these panels is subject to environmental conditions, most important of them are irradiance and temperature. Optimizing the usage of this power versus environmental variations is a primary task. Synchronous DC-DC buck converter is used to control the power transferred from PV panels to the subsystems while maintaining operation at maximal power.  In this paper, artificial intelligence techniques: neural networks and adaptive neural fuzzy inference systems (ANFIS) are used to accomplish the tracking task. Simulation and experimental results demonstrate their efficiency, robustness and tracking quality.
Volume: 10
Issue: 4
Page: 2138-2147
Publish at: 2019-12-01

Performance of compliant mechanisms applied to a modified shape accelerometer of single and double layer

10.11591/ijece.v9i6.pp4675-4683
Margarita Tecpoyotl-Torres , Ramon Cabello-Ruiz , Pedro Vargas-Chable , Jose Gerardo Vera-Dimas , Alejandra Ocampo-Diaz
Accelerometers are widely used in several mechanisms of high sensitivity. They are employed for example in tilt-control in spacecraft, inertial navigation, oil exploration, seismic monitoring, etc. In order to improve the sensitivity of the measurements, implementation of Displacement-amplifying Compliant Mechanisms (DaCMs) in a capacitive accelerometer have been reported in the literature. In this paper, a system composed of two elements; capacitive accelerometer with extended beams (CAEB) and a DaCM geometry, of single and souble layer, are analysed. Three materials were considered, in the case, for the second layer. The DaCM implementation improves the operation frequency and displacement sensitivity, under different proportions, at the same time. Furthermore, three sweeps were performed: a range of thickness from 25 µm up to 30 µm (to determine the appropriate silicon mass value, using SOI technology), a range of second layer thickness (to choose the more appropriate material and its thickness) and a range of gravity values (to determine the maximum normal stress in the beams, which defines the superior value of the g operation range). The in-plane mode (y-axis) was considered in all analysed cases. This characterization was developed using the Finite Element Method. Structural and modal analysis responses were under study.
Volume: 9
Issue: 6
Page: 4675-4683
Publish at: 2019-12-01

Design and optimization of HTS flux-switching permanent magnet machine

10.11591/ijpeds.v10.i4.pp1751-1757
Ahlam Luaibi Shuraiji , M.M.J. Al-ani
Flux-switching permanent magnet (FSPM) machine with high temperature superconductors (HTS) bulks located between the rotor poles to eliminate the flux leakage in the rotor, termed as (HTS-FSPM) machine has been proposed in this paper. Using genetic algorithm, the HTS and the conventional FSPM machines having the same size constraints and load conditions have been globally optimized for max. aveage torque. To highlight the advantages of the HTS-FSPM machine, a performance comparison between the conventional and HTS-FSPM machines has been presented. It is found that the HTS-FSPM machine can increase the torque by 27%, however, this comes with the expense of higher torque ripple and power losses.  
Volume: 10
Issue: 4
Page: 1751-1757
Publish at: 2019-12-01

The Rasch-rating scale model to identify learning difficulties of physics students based on self-regulation skills

10.11591/ijere.v8i4.20292
Habibi Habibi , Jumadi Jumadi , Mundilarto Mundilarto
This study applies the unidimensional Rasch Model assumptions in identifying physics learning difficulties based on students' self-regulation abilities. A total of 126 physics teacher candidates have been observed for one semester. Self-project as a learning strategy has been used. Data were collected using 20 items in rating scales and then analyzed quantitatively to get feasibility in measuring self-regulation skills. The results have shown that the profile items analyzed by the Rasch Model are feasible to measure self-regulation skills through a self-sustaining project strategy. Most physics teacher candidates have a medium ability of 51% in the process of self-regulation, high = 33%, and low = 16%. The implications of applying self-projects to the processes of self-regulation are discussed in this article.
Volume: 8
Issue: 4
Page: 659-665
Publish at: 2019-12-01

An intelligent spectrum handoff scheme based on multiple attribute decision making for LTE-A network

10.11591/ijece.v9i6.pp5330-5339
Abdulraqeb Alhammadi , Mardeni Roslee , Mohamad Yusoff Alias , Khalid Sheikhidris , Yong Jun Jack , Anas Bin Abas , Kesh. S. Randhava
Cognitive radio networks (CRNs) play an important role in wireless communications which have the ability to significantly utilize the spectrum that not in used and reduce the current spectrum scarcity. CR allows unlicensed users (secondary users) to occupy the licensed spectrums without causing interference with licensed users (primary users). This can be achieved smoothly through four main CR procedures: spectrum sensing, spectrum decision, spectrum sharing, and spectrum  mobility. In this paper, we propose an intelligent spectrum handoff (SH) scheme based on multiple attributes decision making. The handoff decision depends on three considered parameters: received power, traffic load and arrival rate of the primary users. The simulation results show the proposed scheme outperformed the conventional scheme by reducing the probability of SH which leads to improve system performance.
Volume: 9
Issue: 6
Page: 5330-5339
Publish at: 2019-12-01

A streaming multi-class support vector machine classification architecture for embedded systems

10.11591/ijeecs.v16.i3.pp1286-1296
Jeevan Sirkunan , Jia Wei Tang , Nasir Shaikh-Husin , Muhammad Nadzir Marsono
Pedestrian detection, face detection, speech recognition and object detection are some of the applications that have benefited from hardware-accelerated SVM. SVM classification computational complexity makes it challenging for designing hardware architecture with real-time performance and low power consumption. On an embedded streaming architecture, test data are stored on external memory and transferred in streams to the FPGA device. The hardwareimplementation for SVM classification needs to be fast enough to keep up with the data transfer speed. Prior implementation throttles data input to avoid overwhelming the computational unit. This results in a bottleneck in overall streaming architecture as maximum throughput could not be obtained. In this work, we propose a streaming architecture multi-class SVM classification for embedded system that is fully pipelined and able to process data continuously with out any need to throttle data stream input. The proposed design is targeted for embedded platform where test data is transferred in streams from an external memory. The architecture was implemented on Altera Cyclone IV platform. Performance analysis on our proposed architecture is done with regards to the number of features and support vectors. For validation, the results obtained is compared with LibSVM. The proposed architecture is able to produce output rate identical to test data input rate.
Volume: 16
Issue: 3
Page: 1286-1296
Publish at: 2019-12-01

Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain

10.11591/ijict.v8i3.pp184-190
A. S. Kang , Er.Vishal Sharma , Prof.Renu Vig
In this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs.
Volume: 8
Issue: 3
Page: 184-190
Publish at: 2019-12-01

Price effect analysis and pre-reseravtion scheme on electric vehicle charging networks

10.11591/ijece.v9i6.pp5586-5595
Junghoon Lee , Gyung-Leen Park
This paper investigates the price effect to the charging demand coming from electric vehicles and then evaluates the performance of a pre-reservation mechanism using the real-life demand patterns. On the charging network in Jeju city, the occupancy rates for 3 price groups, namely, free, medium-price, and expensive chargers, are separated almost evenly by about 9.0 %, while a set of chargers dominates the charging demand during hot hours. The virtual pre-reservation scheme matches electric vehicles to a time slot of a charger so as not only to avoid intolerable waiting time in charging stations systematically but also to increase the revenue of service providers, taking into account both bidding levels specified by electric vehicles and preference criteria defined by chargers. The performance analysis results obtained by prototype implementation show that the proposed pre-reservation mechanism improves the revenue of service providers by up to 9.5 % and 42.9 %, compared with the legacy FCFS and reservation-less walk-in schemes for the given performance parameter sets.
Volume: 9
Issue: 6
Page: 5586-5595
Publish at: 2019-12-01

Optimal placement of wind generation units in order to increase revenues and reduce the imposed costs in the distribution system considering uncertainty

https://ijece.iaescore.com/index.php/IJECE/article/view/20293
Seyed Mohsen Mousavi Khormandichali , Mehrdad Ahmadi Kamarposhti
Recent advances in the field of new energies such as wind turbines, solar power plants, fuel cells, micro-turbines, etc., and also the great benefits of these power plants for the power network, attract the attention of distribution companies towards them. As, today, many distribution companies are examining options for changing the distribution network structure in order to exploit new energies. In the meantime, wind energy is one of the most widely used types of distributed generation in the power network. In addition, wind power generation has the most changes to other types of renewable energy. Distribution network planning is one of the major concerns of system designers, especially when wind generation units by their random and variable nature are in system development. Since the proper placement of wind units in the network plays an essential role in improving the performance of the distribution network, providing a comprehensive and appropriate solution for placement of these units in the network is important. In this paper, a method has been presented that by considering the uncertainty in generation and consumption and the network constraints, the placement of wind units in the network is done with the aim of increasing revenues and reducing the imposed costs in the distribution system, taking into account the uncertainity. The algorithm used in this paper is a genetic algorithm with improved operators.
Volume: 9
Issue: 6
Page: 4524-4539
Publish at: 2019-12-01

Efficient Multi-task offloading with energy and computational resources optimization in a mobile edge computing node

10.11591/ijece.v9i6.pp4908-4919
Mohamed El Ghmary , Tarik Chanyour , Youssef Hmimz , Mohammed Ouçamah Cherkaoui Malki
With the fifth-generation (5G) networks, Mobile edge computing (MEC) is a promising paradigm to provide near computing and storage capabilities to smart mobile devices. In addition, mobile devices are most of the time battery dependent and energy constrained while they are characterized by their limited processing and storage capacities. Accordingly, these devices must offload a part of their heavy tasks that require a lot of computation and are energy consuming. This choice remains the only option in some circumstances, especially when the battery drains off. Besides, the local CPU frequency allocated to processing has a huge impact on devices energy consumption. Additionally, when mobile devices handle many tasks, the decision of the part to offload becomes critical. Actually, we must consider the wireless network state, the available processing resources at both sides, and particularly the local available battery power. In this paper, we consider a single mobile device that is energy constrained and that retains a list of heavy offloadable tasks that are delay constrained. Therefore, we formulated the corresponding optimization problem, and proposed a Simulated Annealing based heuristic solution scheme. In order to evaluate our solution, we carried out a set of simulation experiments. Finally, the obtained results in terms of energy are very encouraging. Moreover, our solution performs the offloading decisions within an acceptable and feasible timeframes.
Volume: 9
Issue: 6
Page: 4908-4919
Publish at: 2019-12-01

Pre-service teachers' visual images about biology

10.11591/ijere.v8i4.20255
Esra Kızılay , Mustafa Hamalosmanoğlu
The aim of this study was to investigate the visual images of pre-service teachers who take biology courses in undergraduate education about biology by analyzing their drawings. The research was conducted with 97 pre-service teachers, studying at the education faculty of a university in Turkey and taking biology course during undergraduate training. Science teaching and classroom teaching departments were included in the research. In the study, the data collection tool has been applied based on voluntariness of pre-service teachers. In the first part of the data collection, information about pre-service teachers' department, grade level and gender were collected. In the second part, pre-service teachers were given a blankA4 paper and asked to draw a picture explaining the concept of biology. Pre-service teachers completed their drawings in approximately 20 minutes. Content analysis was used in the analysis of the drawings. Categories and codes were first determined in the analysis of the data. Drawings were coded separately by two researchers. Then, in order to ensure inter-coder reliability, the codes were evaluated together, and a decision was reached. The analysis of pre-service teachers' drawings about biology shows that ecology and ecosystem concepts came to the mind of the majority when biology is mentioned. The general result of the research can be stated as the visual images of pre-service teachers about biology are mostly shaped within the framework of ecology.
Volume: 8
Issue: 4
Page: 624-629
Publish at: 2019-12-01

Design of a discrete PID controller based on identification data for a simscape buck boost converter model

10.11591/ijpeds.v10.i4.pp1797-1805
Mohammed Almaged , Salam Ibrahim Khather , Abdulla I. Abdulla
This work shows the design and tuning procedure of a discrete PID controller for regulating buck boost converter circuits. The buck boost converter model is implemented using Simscape Matlab library without having to derive a complex mathematical model. A new tuning process of digital PID controllers based on identification data has been proposed. Simulation results are introduced to examine the potentials of the designed controller in power electronic applications and validate the capability and stability of the controller under supply and load perturbations. Despite controller linearity, the new approach has proved to be successful even with highly nonlinear systems. The proposed controller has succeeded in rejecting all the disturbances effectively and maintaining a constant output voltage from the regulator.
Volume: 10
Issue: 4
Page: 1797-1805
Publish at: 2019-12-01
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