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27,404 Article Results

Design and Analysis System of KNN and ID3 Algorithm for Music Classification based on Mood Feature Extraction

10.11591/ijece.v7i1.pp486-495
Made Sudarma , I Gede Harsemadi
Each of music which has been created, has its own mood which is emitted, therefore, there has been many researches in Music Information Retrieval (MIR) field that has been done for recognition of mood to music.  This research produced software to classify music to the mood by using K-Nearest Neighbor and ID3 algorithm.  In this research accuracy performance comparison and measurement of average classification time is carried out which is obtained based on the value produced from music feature extraction process.  For music feature extraction process it uses 9 types of spectral analysis, consists of 400 practicing data and 400 testing data.  The system produced outcome as classification label of mood type those are contentment, exuberance, depression and anxious.  Classification by using algorithm of KNN is good enough that is 86.55% at k value = 3 and average processing time is 0.01021.  Whereas by using ID3 it results accuracy of 59.33% and average of processing time is 0.05091 second.
Volume: 7
Issue: 1
Page: 486-495
Publish at: 2017-02-01

Analysis of Fingerprint Image Enhancement using Gabor Filtering with Different Orientation Field Values

10.11591/ijeecs.v5.i2.pp427-432
Pakutharivu P , Srinath M. V
Fingerprint image enhancement is the key process in IAFIS systems.  In order to reduce false identification ratio and to supply good fingerprint images to IAFIS systems for exact identification, fingerprint images are generally enhanced.  A filtering process tries to filter out the noise from the input image, and emphasize on low, high and directional spatial frequency components of an image.  This paper presents an experimental summary of enhancing fingerprint images using Gabor filters.  Frequency, width and window domain filter ranges are fixed. The orientation angle alone is modified by 0 radians, ,   and  radians. The experimental results show that Gabor filter enhances the fingerprint image in a better way than other filtering methods and extracts features. 
Volume: 5
Issue: 2
Page: 427-432
Publish at: 2017-02-01

Biometric Identification and Authentication Providence using Fingerprint for Cloud Data Access

10.11591/ijece.v7i1.pp408-416
A. Amali Mary Bastina , N. Rama
The raise in the recent security incidents of cloud computing and its challenges is to secure the data. To solve this problem, the integration of mobile with cloud computing, Mobile biometric authentication in cloud computing is presented in this paper. To enhance the security, the biometric authentication is being used, since the Mobile cloud computing is popular among the mobile user. This paper examines how the mobile cloud computing (MCC) is used in security issue with finger biometric authentication model. Through this fingerprint biometric, the secret code is generated by entropy value. This enables the person to request for accessing the data in the desk computer. When the person requests the access to the authorized user through Bluetooth in mobile, the Authorized user sends the permit access through fingerprint secret code. Finally this fingerprint is verified with the database in the Desk computer. If it is matched, then the computer can be accessed by the requested person.
Volume: 7
Issue: 1
Page: 408-416
Publish at: 2017-02-01

A Model Unavailability Perspective of Existing Nigerian Township Electricity Distribution

10.11591/ijece.v7i1.pp77-85
Melodi Adegoke Oladipo , Temikotan Kehinde Olusesan
The study aimed to investigate and obtain model values of system unavailability and cost of energy not supplied in existing Nigerian township electricity distributions using a robust representative system. Outage data was obtained from system records for analysis using frequency distribution statistics to identify the causes of outages, and the contribution of each cause of outage to the overall system outage. The cost of energy not supplied (CENS) due to faults, was evaluated at a rate of NGN6 per kWHr. An analysis of the results shows that in a distribution feeder (and system) unavailability is mainly due to load shedding arising and faults; feeder unavailability involving load shedding is 0.25, and 0.1 without load shedding. Compared with standard UA value for well managed systems of less than or 0.01, the obtained unavailability values for a feeder show that downtime management was poor, and the corresponding cost – prohibitive. In view of the regular load shedding on the feeders and poor downtime management, this study recommends a need to obtain model loadflow perspective of township electricity distribution to ascertain load carrying capacity, and the application of distribution automation system or other effective strategies to mitigate downtime.
Volume: 7
Issue: 1
Page: 77-85
Publish at: 2017-02-01

Human Data Acquisition through Biometrics using LabVIEW

10.11591/ijece.v7i1.pp225-229
K Nishanth Rao , N. Vasudheva Reddy
Human Data Acquisition is an innovative work done based on fingerprints of a particular person. Using the fingerprints we can get each and every detail of any individual. Through this, the data acquired can be used in many applications such as Airport Security System, Voting System, and Employee login System, in finding the thieves etc. We in our project have implemented in Voting System. In this we use the components such as MyDAQ which is data acquisition device. The coding here is in done in a Graphical Programming language named LabVIEW where the execution of any program is done in a sequential way or step by step according to the data received.
Volume: 7
Issue: 1
Page: 225-229
Publish at: 2017-02-01

A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and Classification Analysis

10.11591/ijece.v7i1.pp21-28
M.H. Jopri , A.R. Abdullah , T. Sutikno , M. Manap , M.R. Yusoff
This paper presents a utilization of improved Gabor transform for harmonic signals detection and classification analysis in power distribution system.  The Gabor transform is one of time frequency distribution technique with a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The estimation of spectral information can be obtained from TFR in order to identify the characteristics of the signals. The detection and classification of harmonic signals for 100 unique signals with numerous characteristic of harmonics with support of rule-based classifier and threshold setting that been referred to IEEE standard 1159 2009. The accuracy of proposed method is determined by using MAPE and the outcome demonstrate that the method gives high accuracy of harmonic signals classification. Additionally, Gabor transform also gives 100 percent correct classification of harmonic signals. It is verified that the proposed method is accurate and cost efficient in detecting and classifying harmonic signals in distribution system.
Volume: 7
Issue: 1
Page: 21-28
Publish at: 2017-02-01

A Hybrid Fuzzy Logic FOPID Position Controller for DC Motor Driving Tracking Systems System

10.11591/ijeecs.v5.i2.pp327-337
Mohamed M. Ismail , Ahmed F. Elbendary , Abdelghany M. Abdelghany
This paper presents a developed application for using Fraction Order PID controller (FOPID) in controlling of DC motors installed incelestron telescope, this is done through controlling the angles of two DC motors driven the telescope. The model of celestron telescope is mathematically represented by highly non linear differential equations, this types of nonlinear model is recommended to be controlled using Artificial Intelligent based controller. In this paper, optimal fuzzy FOPID is implemented instead of conventional PID controllers. Genetic Algorithm, fuzzy logic are used for  tuning the FOPID parameters.FOPID  controller is based on  position error and its rate of change as an input vector, the proposed controller set presents a complete precision in forcing the telescope motors to satisfy the predefined position. The simulation results show the dynamic response of the system and the enhancement achieved in rising time and settling time when using FOPID. The response of FOPID is compared with the conventional PID with the same input position reference.
Volume: 5
Issue: 2
Page: 327-337
Publish at: 2017-02-01

Noise Characterization in InAlAs/InGaAs/InP pHEMTs for Low Noise Applications

10.11591/ijece.v7i1.pp176-183
Z. A. Djennati , K. Ghaffour
In this paper, a noise revision of an InAlAs/InGaAs/InP psoeudomorphic high electron mobility transistor (pHEMT) in presented. The noise performances of the device were predicted over a range of frequencies from 1GHz to 100GHz. The minimum noise figure (NFmin), the noise resistance (Rn) and optimum source impedance (Zopt) were extracted using two approaches. A physical model that includes diffusion noise and G-R noise models and an analytical model based on an improved PRC noise model that considers the feedback capacitance Cgd. The two approaches presented matched results allowing a good prediction of the noise behaviour. The pHEMT was used to design a single stage S-band low noise amplifier (LNA). The LNA demonstrated a gain of 12.6dB with a return loss coefficient of 2.6dB at the input and greater than -7dB in the output and an overall noise figure less than 1dB.
Volume: 7
Issue: 1
Page: 176-183
Publish at: 2017-02-01

Gain Flatness and Noise Figure Optimization of C-Band EDFA in 16-channels WDM System using FBG and GFF

10.11591/ijece.v7i1.pp289-298
Chakkour Mounia , Aghzout Otman , Ait Ahmed Badiaa , Chaoui Fahd , Alejos Ana Vazquez , El Yakhloufi Mounir
In this paper, Gain Flatness and Noise Figure of Erbium Doped Fiber Amplifier (EDFA) have been investigated in 16-channels Wavelength Division Multiplexing (WDM). Fiber Bragg Grating (FBG) is used in C-band with the aim to achieve flat EDFA output gain. The proposed model has been studied in detail to evaluate and to enhance the performance of the transmission system in terms of gain, noise figure and eye diagram of the received signals. To that end, various design parameters have been investigated and optimized, such as frequency spacing, EDF length and temperature. To enhance the transmission system performance in terms of gain flatness, the Gain Flattening Filter (GFF) has been introduced in the design. To prove the efficiency of the new design, the optical transmission system with optimized design parameters has been compared with a previous works in the literature. The simulation results show satisfactory performance with quasi-equalized gain for each channel of the WDM transmission system.
Volume: 7
Issue: 1
Page: 289-298
Publish at: 2017-02-01

Indonesian Culture Learning Application based on Android

10.11591/ijece.v7i1.pp526-535
Alexander Setiawan , Andreas Handojo , Rendra Hadi
Indonesia is a country that has a wealth of diverse cultures spread from Sabang to Merauke. Even though the government has included a lesson about Indonesian culture in terms of some subjects such as Art and Culture, but there are still many people including some students who do not know the forms and names of the tribes, traditional houses, traditional clothing, folk songs, traditional foods, local weapons, and musical instruments regions in Indonesia. Therefore, a learning application is created that utilizes mobile learning technology. Through the use of mobile learning, user can access learning content without any borders so that it can be accessed at any time so that it can be accessed at any time with interesting illustration. Indonesia National Culture Application is made useful to help users in learning the introduction of Indonesian culture that provides the knowledge with illustrations in the form of images, audio, text and video. This application also can be functioned to learn, answer quiz, to view a gallery of images and video and to do puzzle games. The achieved result is an application that can provide knowledge to the users so they can know the culture in Indonesia through the illustrations provided well.
Volume: 7
Issue: 1
Page: 526-535
Publish at: 2017-02-01

Nonlinear Compensation Empyoing Matrix Converter with DTC Controller

10.11591/ijece.v7i1.pp107-124
Khalaf S. Gaied , Ziad H. Salih , Ahmed R. Ajel , Mehdi J. Marie
This paper describes a nonlinear harmful speed and torque controller for fourth order induction motor model. The investigation of optimality and cost function for that base on estimation of Hammerstein-Wiener model with the compensated mathematical model. The matrix converter with direct torque control combination is efficient way to get better performance specifications in the industry.The MC and the DTC advantages are combined together.The reduction of complexity and cost of DC link in the DTC since it has no capacitors in the circuit. However, the controlling torque is a big problem it in DTC because of high ripple torque production which results in vibrations response in the operation of the IM as it has no PID to control the torque directly. The combination of MC with DTC is applied to reduce the fluctuation in the output torque and minimize the steady state error. This paper presents the simulation analysis of induction machine drives using Maltlab/Simulink toolbox R2012a. Design of constant switching frequency MCDTC drive,stability investigation and fault protection as well as controllability and observability with minimum steady state error has been carried out which  proved the effectiveness of the proposed technique.
Volume: 7
Issue: 1
Page: 107-124
Publish at: 2017-02-01

Novel High-Gain Narrowband Waveguide-Fed Filtenna using Genetic Algorithm

10.11591/ijece.v7i1.pp253-259
Mahdi Ghorbani , Habib Ghorbaninejad
Filtenna is an antenna with filtering feature. There are many ways to design a filtenna. In this paper, a high-gain narrowband waveguide-fed aperture filtenna has been proposed and designed. A patterned plane, which is designed using genetic algorithm has been used at the open end of the waveguide fed, mounted on a conducting ground plane. To design the patterned pattern, magnetic field integral equation of the structure has been derived, so it has been solved using method of moments. The proposed filtenna has been simulated with HFSS that confirms the results obtained by method of moments. Finally, an unprinted dielectric as a superstrate has been used to enhance the gain of the filtenna. The filtenna bandwidth is 1.76% (160 MHz)  which has the gain of 15.91 dB at the central frequency of 9.45 GHz.
Volume: 7
Issue: 1
Page: 253-259
Publish at: 2017-02-01

MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network

10.11591/ijece.v7i1.pp374-382
M.C. Rajalakshmi , A.P. Gnana Prakash
The paper presents a technique called as Mobility-enabled Multi Level Optimization (MeMLO) that addressing the existing problem of clustering in wireless sensor net-work (WSN). The technique enables selection of aggregator node based on multiple optimi-zation attribute which gives better decision capability to the clustering mechanism by choosing the best aggregator node. The outcome of the study shows MeMLO is highly capable of minimizing the halt time of mobile node that significantly lowers the transmit power of aggregator node. The simulation outcome shows negligible computational com-plexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm.
Volume: 7
Issue: 1
Page: 374-382
Publish at: 2017-02-01

Reliability Evaluation and Analysis of Mobile Ad Hoc Networks

10.11591/ijece.v7i1.pp479-485
Deepak Kumar Panda , Ranjan Kumar Dash
The paper addresses the reliability problem of mobile ad hoc networks under link and node failure model. Node reliability is calculated as a function of no. of neighbor nodes, packet success rate, and device type and packet size. The presence of a link between any node pair is binary and its reliability is computed considering the distance between nodes and signal-to-noise ratio (SNR). An efficient algorithm is proposed to analyze and calculate the reliability of mobile ad hoc networks considering multiple routes from source and destination nodes. The effect of different parameters on node reliability and link reliability are analyzed and discussed. The network is simulated and analyzed using INET frame work. Reliability of two distinct cases of this simulation is evaluated. The simulated results and discussions ensure that evaluation of the reliability of any mobile ad hoc networks can be done easily and in an efficient manner by the proposed method.
Volume: 7
Issue: 1
Page: 479-485
Publish at: 2017-02-01

Sensoring Leakage Current to Predict Pollution Levels to Improve Transmission Line Model via ANN

10.11591/ijece.v7i1.pp68-76
Saraa I. Khalel , Mohd Fadli Rahmat , Mohd Wazir Bin Mustafa
Pollution insulator is a serious threat to the safety operations of electric power systems. Leakage current detection is widely employed in transmission line insulators to assess pollution levels. This paper presents the prediction of pollution levels on insulators based on simulated leakage current and voltage in a transmission tower.The simulation parameters are based on improved transmission line model with leakage current resistance insertion between buses. Artificial neural network (ANN) is employed to predict the level of pollution with different locations of simulated leakage current and voltage between two buses. With a sufficient number of training, the test results showed a significant potential for pollution level prediction with more than 95% Correct Classification Rate (CCR) and output of the ANN showed high agreement with Simulink results.
Volume: 7
Issue: 1
Page: 68-76
Publish at: 2017-02-01
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