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25,002 Article Results

Solving Method of H-Infinity Model Matching Based on the Theory of the Model Reduction

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4204
Li Min Zhi , Cao Xin Jun
People used to solve high-order H model matching based on H control theory, it is too difficult. In this paper, we use model reduction theory to solve high-order H model matching problem, A new method to solve H model matching problem based on the theory of the model reduction is proposed． The simulation results show that the method has better applicability and can get the expected performance． DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.6886
Volume: 13
Issue: 2
Page: 282-286
Publish at: 2015-02-01

Static Characterization of the Birefringence Effect in the Semiconductor Optical Amplifier Using the Finite Difference Method

10.11591/ijece.v5i1.pp38-45
A. Elyamani , A. Zatni , H. Bousseta , A. Moumen
Knowing the various physical mechanisms of the semiconductor optical amplifier (SOA) helps us to develop a more complete numerical model. It also enables us to simulate more realistically the static behavior of the SOAs’ birefringence effect. This way, it allows us to study more precisely the behavior of SOAs, and particularly the impact of the amplified spontaneous emission (ASE) or the pump and probe signals as well as the optical functions based on the non-linearity of the component. In static regime, the SOAs possess a very low amplification threshold and a saturation power of the gain which mainly depends on the optical power injected into the active region. Beyond the optical input power, the SOA is in the saturated gain regime which gives it a nonlinear transmission behavior. Our detailed numerical model offers a set of equations and an algorithm that predict their behavior. The equations form a theoretical base from which we have coded our model in several files.cpp that the Language C++ executes. It has enabled us, from the physical and geometrical parameters of the component, to recover all the relevant values ​​for a comprehensive study of SOAs in static and dynamic regimes. In this paper, we propose to make a static characterization of the effect of the nonlinear polarization rotation by realizing a pump-probe assemblage to control the power and state of polarization at the entering of the SOA.
Volume: 5
Issue: 1
Page: 38-45
Publish at: 2015-02-01

Impact of Harmonics on Power Quality and Losses in Power Distribution Systems

10.11591/ijece.v5i1.pp166-174
M. Jawad Ghorbani , Hossein Mokhtari
This paper investigates the harmonic distortion and losses in power distribution systems due to the dramatic increase of nonlinear loads. This paper tries to determine the amount of the harmonics generated by nonlinear loads in residential, commercial and office loads in distribution feeders and estimates the energy losses due to these harmonics. Norton equivalent modeling technique has been used to model the nonlinear loads. The presented harmonic Norton equivalent models of the end user appliances are accurately obtained based on the experimental data taken from the laboratory measurements. A 20 kV/400V distribution feeder is simulated to analyze the impact of nonlinear loads on feeder harmonic distortion level and losses. The model follows a “bottom-up” approach, starting from end users appliances Norton equivalent model and then modeling residential, commercial and office loads. Two new indices are introduced by the authors to quantize the effect of each nonlinear appliance on the power quality of a distribution feeder and loads are ranked based on these new defined indices. The simulation results show that harmonic distortion in distribution systems can increase power losses up to 20%.
Volume: 5
Issue: 1
Page: 166-174
Publish at: 2015-02-01

Robust Synchronization of the Unified Chaotic System

10.11591/ijece.v5i1.pp102-110
Hatem Trabelsi , Mohamed Benrejeb
The paper investigates the synchronization problem of the unified chaotic system. The case of identical, but unknown master and slave unified chaotic systems is considered. Based on compound matrices formalism, a unified synchronization control scheme is proposed independently of the unknown system parameter. Simulation results are provided to show the effectiveness of the presented scheme.
Volume: 5
Issue: 1
Page: 102-110
Publish at: 2015-02-01

Structure of 15-Level Sub-Module Cascaded H-Bridge Inverter for Speed Control of AC Drive Applications

10.11591/ijpeds.v5.i3.pp404-414
R. Uthirasamy , U. S. Ragupathy , R. Naveen
This paper deals with the implementation of a single phase 15-level Sub-Multilevel Cascaded H-Bridge Inverter (SMCHBI) for variable speed industrial drive applications. It consists of sub-multilevel modules and H-bridge inverter configuration. Sub-multilevel switches synthesize stepped DC link voltage and current from the DC sources. H-bridge inverter switches renovate stepped DC link voltage and current into sinusoidal waveform. Compared with conventional Cascaded Multilevel Inverter (CMLI), the proposed system employs the reduced number of power switches, DC sources and gate driver requirements. The proposed system not only reduces the overall system cost but also reduces the voltage stress across the inverter switches. The proposed system does not required additional resonant soft switching circuits for Zero Voltage Switching (ZVS) of inverter. In the proposed method, variable frequency method is adopted for the speed control of industrial induction motor drives. A prototype model of 15-level SMCHB is developed and the performance of the systems is validated experimentally.
Volume: 5
Issue: 3
Page: 404-414
Publish at: 2015-02-01

Decision Support System for the Selection of Courses in the Higher Education using the Method of Elimination Et Choix Tranduit La Realite

10.11591/ijece.v5i1.pp129-135
Made Sudarma , Anak Agung Kompiang Oka Sudana , Irwansyah Cahya
Each year thousands of prospective students attend new student enrollment in universities, which each prospective student have determined the courses that wish to be studied in college. Most of prospective student choose the courses only based on the number of enthusiasts and wishes of parents, and are not based on their academic ability. The impact of this phenomenon is that many of the prospective students chosen to switch courses and not a few of them have been punished dropout. This problem can be solved through the creation of decision support system that has an ability to suggest suitable courses to be selected by the prospective student based on their academic ability. This decision support system solved the problem using the method of elimination et choix tranduit la realite which is presented in web-based application to raise the accessibility by the prospective student.
Volume: 5
Issue: 1
Page: 129-135
Publish at: 2015-02-01

Speed Sensorless Vector Control of Induction Motor Drive with PI and Fuzzy Controller

10.11591/ijpeds.v5.i3.pp315-325
R. Gunabalan , V. Subbiah
This paper directed the speed-sensorless vector control of induction motor drive with PI and fuzzy controllers.  Natural observer with fourth order state space model is employed to estimate the speed and rotor fluxes of the induction motor. The formation of the natural observer is similar to and as well as its attribute is identical to the induction motor. Load torque adaptation is provided to estimate the torque and rotor speed is estimated from the load torque, rotor fluxes and stator currents. There is no direct feedback in natural observer and also observer gain matrix is absent. Both the induction motor and the observer are characterized by state space model. Simple fuzzy logic controller and conventional PI controllers are used to control the speed of the induction motor in closed loop. MATLAB simulations are made with PI and fuzzy controllers and the performance of fuzzy controller is better than PI controller in view of torque ripples. The simulation results are obtained for various running conditions to exhibit the suitability of this method for sensorless vector control. Experimental results are provided for natual observer based sensorless vector control with conventional PI controller.
Volume: 5
Issue: 3
Page: 315-325
Publish at: 2015-02-01

Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening

10.11591/ijece.v5i1.pp78-83
Enny Itje Sela , Sri Hartati , Agus Harjoko , Retantyo Wardoyo , Munakhir Mudjosemedi
This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.
Volume: 5
Issue: 1
Page: 78-83
Publish at: 2015-02-01

A Novel and Advanced Data Mining Model based Hybrid Intrusion Detection Framework

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4197
K. Rajasekaran , K. Nirmala
An Intrusion can be defined as any practice or act that attempt to crack the integrity, confidentiality or availability of a resource. This may contain of a deliberate unauthorized attempt to access the information, manipulate the data, or make a system unreliable or unusable. With the expansion of computer networks at an alarming rate during the past decade, security has become one of the serious issues of computer systems. IDS, is a detection mechanism for detecting the intrusive activities hidden among the normal activities. The revolutionary establishment of IDS has attracted analysts to work dedicatedly enabling the system to deal with technological advancements. Hence, in this regard, various beneficial schemes and models have been proposed in order to achieve enhanced IDS. This paper proposes a novel hybrid model for intrusion detection. The proposed framework in this paper may be expected as another step towards advancement of IDS. The framework utilizes the crucial data mining classification algorithms beneficial for intrusion detection. The Hybrid framework would henceforth, will lead to effective, adaptive and intelligent intrusion detection. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.7045 
Volume: 13
Issue: 2
Page: 223-231
Publish at: 2015-02-01

Experimental Evaluation of Torque Performance of Voltage and Current Models using Measured Torque for Induction Motor Drives

10.11591/ijpeds.v5.i3.pp433-440
Ibrahim M. Alsofyani , Tole Sutikno , Yahya A. Alamri , Nik Rumzi Nik Idris , Norjulia Mohamad Nordin , Aree Wangsupphaphol
In this paper, two kinds of observers are proposed to investigate torque estimation. The first one is based on a voltage model represented with a low-pass filter (LPF); which is normally used as a replacement for a pure integrator to avoid integration drift problem due to dc offset or measurement error. The second estimator used is an extended Kalman filter (EKF) as a current model, which puts into account all noise problems. Both estimation algorithms are investigated during the steady and transient states, tested under light load, and then compared with the measured mechanical torque. In all conditions, the torque estimation error for EKF has remained within a narrow error band and yielded minimum torque ripples, which motivate the use of the EKF estimation algorithm in high performance control drives of IMs for achieving high dynamic performance.
Volume: 5
Issue: 3
Page: 433-440
Publish at: 2015-02-01

Service Level Agreements in Cloud Computing and Big Data

10.11591/ijece.v5i1.pp158-165
K. Radha , B.Thirumala Rao , Shaik Masthan Babu , K.Thirupathi Rao , V.Krishna Reddy , P. Saikiran
Now-a-days Most of the industries are having large volumes of data. Data has range of Tera bytes to Peta byte. Organizations are looking to handle the growth of data. Enterprises are using cloud deployments to address the big data and analytics with respect to the interaction between cloud and big data. This paper presents big data issues and research directions towards the ongoing work of processing of big data in the distributed environments.
Volume: 5
Issue: 1
Page: 158-165
Publish at: 2015-02-01

Modelling and Analysis of Induction Motor using LabVIEW

10.11591/ijpeds.v5.i3.pp344-354
E. Ramprasath , P. Manojkumar
Induction motor characteristics became complex to study, after the invention of drives where the motor incorporated with power electronic switches such as thyristor, diodes, GTO, and MOSFET. Induction motor characteristics can be studied and modelled with software such as Finite Element Analysis and Laboratory Virtual Instrument Engineering Workbench. Finite Element Analysis is used to study and model the motor might be complex and the time taken to compute was unreliable. In this paper induction motor was modeled with the help of LabVIEW software this allows us to model and simulate the motor in order to analyze the performance. The induction motor modelled here was based on the mathematical equations.
Volume: 5
Issue: 3
Page: 344-354
Publish at: 2015-02-01

A Review to AC Modeling and Transfer Function of DC-DC Converters

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4203
Rahim Ildarabadi , Azadeh Ahmadi
In this paper, AC modeling and small signal transfer function for DC-DC converters are represented. The fundamentals governing the formulas are also reviewed. In DC-DC converters, the output voltage must be kept constant, regardless of changes in the input voltage or in the effective load resistance. Transfer function is the necessary knowledge to design a proper feedback control such as PID control to regulate the output voltage as linear PID and PI controllers are usually designed for DC-DC converters using standard frequency response techniques based on the small signal model of the converter.DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.7033 
Volume: 13
Issue: 2
Page: 271-281
Publish at: 2015-02-01

Performance Analysis of Transmit Antenna Selection with MRC in MIMO for Image Transmission in Multipath Fading Channels Using Simulink

10.11591/ijece.v5i1.pp119-128
Vaibhav S Hendre , M Murugan , Sneha Kamthe
Multiple antenna configurations can be used to increase the data throughput reducing the effects of multipath fading and interference when channel bandwidth is limited. Orthogonal Space Time Block Codes along with Transmit antenna selection can improve the performance of multiple input multiple output systems. In this paper, we present the Transmit Antenna Selection (TAS) technique based on the Maximal Ratio Combining (MRC) scheme with single antenna selection for image transmission. The performance analysis of the system was carried out under different fading channels i.e. Rayleigh and Rician channel for image input. We design end to end TAS/MRC system in Simulink with advancements in the channel designs and receive diversity techniques along with the feedback models. The Bit Error Rate (BER) analysis was performed for the combinations of number of transmit and receive antennas for TAS/MRC system for various fading environments.
Volume: 5
Issue: 1
Page: 119-128
Publish at: 2015-02-01

Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm

10.11591/ijece.v5i1.pp71-77
Subrahmanyam CH , Venkata Rao D , Usha Rani N
In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding). The proposed method takes advantage of the contrast changes in the video quality by luminance changes. The proposed quality metric was tested by using LIVE video database. The experimental results show that the new index performance compared with the other NR-VQA models that require training on LIVE video databases, CSIQ video database, and VQEG HDTV video database. The values are compared with human score index analysis of DMOS.
Volume: 5
Issue: 1
Page: 71-77
Publish at: 2015-02-01
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