Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,609 Article Results

A Diagnostic Analytics of Harmonic Source Signature Recognition by Using Periodogram

10.11591/ijece.v8i6.pp5399-5408
M. H. Jopri , A. R. Abdullah , T. Sutikno , M. Manap , M. R. Ab Ghani , A. S. Hussin
This paper presents a diagnostic analytics of harmonic source signature recognition of rectifier and inverter-based load in the distribution system with single-point measurement at the point of common coupling by utilizing Periodogram. Signature recognition pattern is used to distinguish the harmonic sources accurately by obtaining the distribution of harmonic and interharmonic components and the harmonic contribution changes.  This is achieved by using the significant signature recognition of harmonic producing load obtained from analysing the harmonic contribution changes. Based on voltage and current signature analysis, the distribution of harmonic components can be divided into three zones. To distinguish between the harmonic producing loads, the harmonic components are observed at these zones to get the signature recognition pattern. The result demonstrate that periodogram technique accurately diagnose and distinguish the type of harmonic sources in the distribution system.
Volume: 8
Issue: 6
Page: 5399-5408
Publish at: 2018-12-01

A Multicarrier PWM Technique for Five Level Inverter Connected to the Grid

10.11591/ijpeds.v9.i4.pp1774-1783
M. Khanfara , R. El Bachtiri , M. Boussetta , K. El Hammoumi
In this paper, a three-phase multilevel cascaded H-bridge inverter is developed for injecting renewable power energy into the grid through a filter. The main contribution of this work is to reduce the total harmonic distortion (THD) by using a passive filter and to enhance the output voltages by adopting a multicarrier pulse width modulation (MCPWM). The simulation results affirm a good performance of the proposed multicarrier PWM control using a three-phase five-level inverter. The proposed inverter is tested as well as the THD and the spectral analysis of the output voltage are calculated using Simulink/Matlab software.
Volume: 9
Issue: 4
Page: 1774-1783
Publish at: 2018-12-01

A Novel Nonlinear Control of Boost Converter using CCM Phase Plane

10.11591/ijece.v8i6.pp4282-4291
Eko Setiawan , Ichijo Hodaka
Boost converter is one of fundamental DC-DC converters and used to deliver electric power with boosted voltage in many electrical systems. Several control strategies have been applied to control a boost converter delivering a constant output voltage. Generally, boost converter works in two modes; one is called a Continuous Conduction Mode (CCM). Many researches use CCM model in the controller design, but they never ensure that the controller always works in CCM. This paper proposes novel nonlinear controller of boost converter designed using the modification of flow in phase plane. The proposed controller guarantees that the boost converter works only in CCM region. The simulation result confirms that our proposed controller brings the state variables from any initial point to a desired operating point successfully.
Volume: 8
Issue: 6
Page: 4282-4291
Publish at: 2018-12-01

Detection and Monitoring Intra/Inter Crosstalk in Optical Network on Chip

10.11591/ijece.v8i6.pp4912-4921
Ahmed Jedidi
Multiprocessor system-on-chip (MPSoC) has become an attractive solution for improving the performance of single chip in objective to satisfy the performance growing exponentially of the computer applications as multimedia applications. However, the communication between the different processors’ cores presents the first challenge front the high performance of MPSoC. Besides, Network on Chip (NoC) is among the most prominent solution for handling the on-chip communication. Besides, NoC potential limited by physical limitation, power consumption, latency and bandwidth in the both case: increasing data exchange or scalability of Multicores. Optical communication offers a wider bandwidth and lower power consumption, based on, a new technology named Optical Network-on-Chip (ONoC) has been introduced in MPSoC. However, ONoC components induce the crosstalk noise in the network on both forms intra/inter crosstalk. This serious problem deteriorates the quality of signals and degrades network performance. As a result, detection and monitoring the impairments becoming a challenge to keep the performance in the ONoC. In this article, we propose a new system to detect and monitor the crosstalk noise in ONoC. Particularly, we present an analytic model of intra/inter crosstalk at the optical devices. Then, we evaluate these impairments in objective to present the motivation to detect and monitor crosstalk in ONoC, in which our system has the capability to detect, to localize, and to monitor the crosstalk noise in the whole network. This system offers high reliability, scalability and efficiency with time running time less than 20 ms.
Volume: 8
Issue: 6
Page: 4912-4921
Publish at: 2018-12-01

Min Max Model Predictive Control for Polysolenoid Linear Motor

10.11591/ijpeds.v9.i4.pp1666-1675
Nguyen Hong Quang , Nguyen Phung Quang , Nguyen Nhu Hien , Nguyen Thanh Binh
The Polysolenoid Linear Motor (PLM) have been playing a crucial role in many industrial aspects because it provides a straight motion directly without mediate mechanical actuators. Some control methods for PLM based on Rotational Motor are applied to obtain several good performances, but position and velocity constraints which are important in real systems are ignored. In this paper, we analysis control problem of tracking position in PLM under state-independent disturbances via min-max model predictive control. The proposed controller brings tracking position error converge to zero and satisfies state including position and velocity and input constraints. The simulation results validity a good efficiency of the proposed controller.
Volume: 9
Issue: 4
Page: 1666-1675
Publish at: 2018-12-01

Trust Enhanced Role Based Access Control Using Genetic Algorithm

10.11591/ijece.v8i6.pp4724-4734
Saleh Mowla , Niharika Sinha , Raghavendra Ganiga , Nisha P. Shetty
Improvements in technological innovations have become a boon for business organizations, firms, institutions, etc. System applications are being developed for organizations whether small-scale or large-scale. Taking into consideration the hierarchical nature of large organizations, security is an important factor which needs to be taken into account. For any healthcare organization, maintaining the confidentiality and integrity of the patients’ records is of utmost importance while ensuring that they are only available to the authorized personnel. The paper discusses the technique of Role-Based Access Control (RBAC) and its different aspects. The paper also suggests a trust enhanced model of RBAC implemented with selection and mutation only ‘Genetic Algorithm’. A practical scenario involving healthcare organization has also been considered. A model has been developed to consider the policies of different health departments and how it affects the permissions of a particular role. The purpose of the algorithm is to allocate tasks for every employee in an automated manner and ensures that they are not over-burdened with the work assigned. In addition, the trust records of the employees ensure that malicious users do not gain access to confidential patient data.
Volume: 8
Issue: 6
Page: 4724-4734
Publish at: 2018-12-01

Self-tuning Fuzzy Logic Controller Based on Takagi-Sugeno Applied to Induction Motor Drives

10.11591/ijpeds.v9.i4.pp1967-1975
Nabil Farah , M. H. N. Talib , Z. Ibrahim , J. M. Lazi , Maaspaliza Azri
Fuzzy logic controller has been the main focus for many researchers and industries in motor drives. The popularity of Fuzzy Logic Controller (FLC) is due to its reliability and ability to handle parameters changes during load or disturbance. Fuzzy logic design can be visualized in two categories, mamdani design or Takagi-Sugeno (TS). Mamdani type can facilitate the design process, however it require high computational burden especially with big number of rules and experimental testing. This paper, develop Self-Tuning (ST) mechanism based on Takagi-Sugeno (TS) fuzzy type. The mechanism tunes the input scaling factor of speed fuzzy control of Induction Motor (IM) drives Based on the speed error and changes of error. A comparison study is done between the standard TS and the ST-TS based on simulations approaches considering different speed operations. Speed response characteristics such as rise time, overshoot, and settling time are compared for ST-TS and TS. It was shown that ST-TS has optimum results compared to the standard TS. The significance of the proposed method is that, optimum computational burden reduction is achieved.
Volume: 9
Issue: 4
Page: 1967-1975
Publish at: 2018-12-01

Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

10.11591/ijece.v8i6.pp5118-5126
Nabeel Salih Ali , Zaid Abdi Alkaream Alyasseri , Abdulhussein Abdulmohson
Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (user-friendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.
Volume: 8
Issue: 6
Page: 5118-5126
Publish at: 2018-12-01

Performance Benchmarking of Key-Value Store NoSQL Databases

10.11591/ijece.v8i6.pp5333-5341
Omoruyi Osemwegie , Kennedy Okokpujie , Nsikan Nkordeh , Charles Ndujiuba , Samuel John , Uzairue Stanley
Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.
Volume: 8
Issue: 6
Page: 5333-5341
Publish at: 2018-12-01

SCDT: FC-NNC-structured Complex Decision Technique for Gene Analysis Using Fuzzy Cluster based Nearest Neighbor Classifier

10.11591/ijece.v8i6.pp4505-4518
Sudha V , Girijamma H. A.
In many diseases classification an accurate gene analysis is needed, for which selection of most informative genes is very important and it require a technique of decision in complex context of ambiguity. The traditional methods include for selecting most significant gene includes some of the statistical analysis namely 2-Sample-T-test (2STT), Entropy, Signal to Noise Ratio (SNR). This paper evaluates gene selection and classification on the basis of accurate gene selection using structured complex decision technique (SCDT) and classifies it using fuzzy cluster based nearest neighborclassifier (FC-NNC). The effectiveness of the proposed SCDT and FC-NNC is evaluated for leave one out cross validation metric(LOOCV) along with sensitivity, specificity, precision and F1-score with four different classifiers namely 1) Radial Basis Function (RBF), 2) Multi-layer perception(MLP), 3) Feed Forward(FF) and 4) Support vector machine(SVM) for three different datasets of DLBCL, Leukemia and Prostate tumor. The proposed SCDT &FC-NNC exhibits superior result for being considered more accurate decision mechanism.
Volume: 8
Issue: 6
Page: 4505-4518
Publish at: 2018-12-01

A Suitable Structure to Control the System of Quad-rotor Miniature Aerial Vehicles

10.11591/ijpeds.v9.i4.pp1634-1643
Van-Dai Bui , Trong-Thang Nguyen , Ngoc-Hoan Than , Duc-Minh Nguyen
Miniature Aerial Vehicles with four rotors is called Quad-rotor MAV, popularly used in aspects of life such military, civilian products, processes and remote sensor, etc. In this paper, the authors present the suitable structure of control system for the Quad-rotor MAV. The first, the Six Degrees of Freedom (6 DOF) of the Quad-rotor MAV dynamic model is built. After, the control structure with the single loop is built. But in the single-loop system, only four control signals of Quad-rotor MAV can be controlled, so the Quad-rotor MAV can be reached the height only and keep the stability. However, it is important to note that we have to well-known the orbit of the Quad-rotor MAV flight; the Quad-rotor MAV must fly point-to-point exactly, so the six coordinate variables must be controlled. So, the double loop control structure system is proposed to do that. Finally, the simulation results analysis and the experimental results of the real model are explored to prove the effectiveness of the proposed structure.
Volume: 9
Issue: 4
Page: 1634-1643
Publish at: 2018-12-01

A UML Profile for Security and Code Generation

10.11591/ijece.v8i6.pp5278-5291
Abdellatif Lasbahani , Mostafa Chhiba , Abdelmoumen Tabyaoui
Recently, many research studies have suggested the integration of safety engineering at an early stage of modeling and system development using Model-Driven Architecture (MDA). This concept consists in deploying the UML (Unified Modeling Language) standard as aprincipal metamodel for the abstractions of different systems. To our knowledge, most of this work has focused on integrating security requirements after the implementation phase without taking them into account when designing systems. In this work, we focused our efforts on non-functional aspects such as the business logic layer, data flow monitoring, and high-quality service delivery. Practically, we have proposed a new UML profile for security integration and code generation for the Java platform. Therefore, the security properties will be described by a UML profile and the OCL language to verify the requirements of confidentiality, authorization, availability, data integrity, and data encryption. Finally, the source code such as the application security configuration, the method signatures and their bodies, the persistent entities and the security controllers generated from sequence diagram of system’s internal behavior after its extension with this profile and applying a set of transformations.
Volume: 8
Issue: 6
Page: 5278-5291
Publish at: 2018-12-01

Determination of solid material permittivity using T-ring resonator for food industry

10.12928/telkomnika.v17i1.11636
Rammah A.; Universiti Teknikal Malaysia Melaka (UTeM) Alahnomi , Z.; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Zulkalnain Mohd; Universiti Teknikal Malaysia Melaka (UTeM) Yussof , Tole; Universitas Ahmad Dahlan Sutikno , Amyrul Azuan Mohd; Universiti Teknikal Malaysia Melaka (UTeM) Bahar , Ammar; Universiti Teknikal Malaysia Melaka (UTeM) Alhegazi
In this paper, we present a simple design of a T-ring resonator sensor for characterizing solid detection.  The sensor is based on a planar microwave ring resonator and operating at 4.2 GHz frequency with a high-quality factor and sensitivity. An optimization of the T-ring geometry and materials were made to achieve high sensitivity for microwave material characterizations. This technique can determine the properties of solid materials from range of 2 GHz to 12 GHz frequencies. Techniques of current microwave resonator are usually measuring the properties of material at frequencies with a wide range; however, their accuracy is limited. Contrary to techniques that have a narrowband which is normally measuring the properties of materials to a high-accuracy with limitation to only a single frequency. This sensor has a capability of measuring the properties of materials at frequencies of wide range to a high-accuracy. A good agreement is achieved between the simulated results of the tested materials and the values of the manufacturer’s Data sheets. An empirical equation has been developed accordingly for the simulated results of the tested materials. Various standard materials have been tested for validation and verification of the sensor sensitivity. The proposed concept enables the detection and characterization of materials and it has miniaturized the size with low cost, reusable, reliable, and ease of design fabrication with using a small size of tested sample. It is inspiring a broader of interest in developing microwave planar sensors and improving their applications in food industry, quality control and biomedical materials.
Volume: 17
Issue: 1
Page: 489-496
Publish at: 2018-11-02

Celebrity Face Recognition using Deep Learning

10.11591/ijeecs.v12.i2.pp476-481
Nur Ateqah Binti Mat Kasim , Nur Hidayah Binti Abd Rahman , Zaidah Ibrahim , Nur Nabilah Abu Mangshor
Face recognition is one of the well studied problems by researchers in computer visions.  Among the challenges of this task are the occurrence of different facial expressions like happy or sad, and different views of the images such as front and side views.  This paper experiments a publicly available dataset that consists of 200,000 images of celebrity faces. Deep Learning technique is gaining its popularity in computer vision and this paper applies this technique for face recognition problem.  One of the techniques under deep learning is Convolutional Neural Network (CNN).  There is also pre-trained CNN models that are AlexNet and GoogLeNet, which produce excellent accuracy results.  The experimental results indicate that AlexNet is better than basic CNN and GoogLeNet for face recognition.
Volume: 12
Issue: 2
Page: 476-481
Publish at: 2018-11-01

Optimal Voltage Stability Improvement under Contingencies using Flower Pollination Algorithm and Thyristor Controlled Series Capacitor

10.11591/ijeecs.v12.i2.pp497-504
Zulkiffli Abdul Hamid , Ismail Musirin , Muhammad Amirul Adli Nan , Zulkifli Othman
Recent power systems necessitate for maintaining a safe voltage stability as the number of problems such as contingencies and reactive power insufficiency are increasing. In this paper, installation and sizing of Flexible Alternating Current Transmission System (FACTS) devices have been introduced for solving the voltage stability problems under contingencies. The FACTS device to be used is Thyristor Controlled Series Capacitor (TCSC). Besides improving the voltage magnitude at all buses to a desired level, installation of TCSC at proper locations can minimize total transmission losses of the system. To conduct the sizing task, the newly developed Flower Pollination Algorithm (FPA) has been implemented as the engine for optimization. Through experimentation, the results proved that the proposed placement and sizing technique has successfully mitigated the voltage stability problems. In addition, the computation time for FPA’s convergence was tolerable with optimum results.
Volume: 12
Issue: 2
Page: 497-504
Publish at: 2018-11-01
Show 1429 of 2041

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration