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31,377 Article Results

Music fingerprinting based on bhattacharya distance for song and cover song recognition

10.11591/ijece.v9i2.pp1036-1044
Riyanarto Sarno , Dedy Rahman Wijaya , Muhammad Nezar Mahardika
People often have trouble recognizing a song especially, if the song is sung by a not original artist which is called cover song. Hence, an identification system might be used to help recognize a song or to detect copyright violation. In this study, we try to recognize a song and a cover song by using the fingerprint of the song represented by features extracted from MPEG-7. The fingerprint of the song is represented by Audio Signature Type. Moreover, the fingerprint of the cover song is represented by Audio Spectrum Flatness and Audio Spectrum Projection. Furthermore, we propose a sliding algorithm and k-Nearest Neighbor (k-NN) with Bhattacharyya distance for song recognition and cover song recognition. The results of this experiment show that the proposed fingerprint technique has an accuracy of 100% for song recognition and an accuracy of 85.3% for cover song recognition.
Volume: 9
Issue: 2
Page: 1036-1044
Publish at: 2019-04-01

Transient stability enhancement using thyristor controlled series compensator

10.11591/ijece.v9i2.pp884-893
Surender Reddy Salkuti
Stability is an important issue which determines the stable operation of power system. At present, the most practical available method of transient stability analysis is time domain simulation, in which the non-linear differential equations are solved by step by step method or network reduction techniques. In this paper, FACTS devices are used  in the existing system for effective utilization of existing transmission resources. In this paper, the studies have been carried out in order to improve the transient stability of 5 bus system, and Western System Coordinating Council (WSCC) 9 bus system with fixed compensation on various lines, and the optimal location has been investigated for better results. To improve the transient stability margin further, a Thyristor Controlled Series Compensator (TCSC) has been used, and the results shows the effectiveness of the application of TCSC in improving the transient stability of power system.
Volume: 9
Issue: 2
Page: 884-893
Publish at: 2019-04-01

Normal and abnormal red blood cell recognition using image processing

10.11591/ijeecs.v14.i1.pp96-100
Hajara Aliyu Abdulkarim , Rubita Sudirman , Mohd Azhar Abdul Razak
In medical field, the recognition of red blood cells (RBC) are used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and abnormal shaped RBCs image by using Form Factor as feature descriptor. Detecting normal cells of RBCs indicate a healthy patient and abnormal cells indicate presence of disease. And is very important in medical field to detect abnormal condition in early stage because it saves and protects human lives. The patients waiting time for blood test is more because the time taking to generate the result of the patient is high due to high demand and less equipment this method is used in order to improve the accuracy of the existing one and 94% accuracy was achieved in the detection.
Volume: 14
Issue: 1
Page: 96-100
Publish at: 2019-04-01

New active diode with bulk regulation transistors and its application to integrated voltage rectifier circuit

10.11591/ijece.v9i2.pp902-908
Ryoichi Miyauchi , Koichi Tanno , Hiroki Tamura
This paper describes new active diode with bulk regulation transistors and its application to the integrated voltage rectifier circuit for a biological signal measurement system with smartphone. The conventional active diode with BRT has the dead region which causes leak current, and the output voltages of the application (e.g. voltage rectifier circuit) decrease. In order to overcome these problem, we propose new active diode with BRT which uses the control signal from the comparator of active diode to eliminate the dead region. Next we apply the proposed active diode with BRT to the integrated voltage rectifier circuit. The proposed active diode with BRT and voltage rectifier circuit were fabricated using 0.6 μm standard CMOS process. From experimental results, the proposed active diode with BRT eliminates the dead region perfectly, and the proposed voltage rectifier circuit generates + 2.86 V (positive side) and - 2.70 V (negative side) under the condition that the amplitude and frequency of the input sinusoidal signal are 1.5 V and 10 kHz, respectively, and the load resistance is 10 kΩ.
Volume: 9
Issue: 2
Page: 902-908
Publish at: 2019-04-01

Conceptual implementation of a data logger with a graphical user interface data extraction program

10.11591/ijeecs.v14.i1.pp396-401
Ahmad Shukri Fazil Rahman Fazil Rahman , Samila Mat Zali , Shamshul Bahar Yaakob , Abdul Rahim Abdul Razak , Mohd Zamri Hasan , Siti Hajar Mohd Tahar
A Graphical User Interface (GUI) design was developed to extract data from a data logger. The low-cost data logger was developed using a common pic18f4550 microcontroller. Simple data recording feature is implemented by using the Electrically Erasable Programmable Read-Only Memory (EEPROM) module from the microcontroller unit. The GUI software employed VB.net 2013 and has been tested to work in window 10 environment.  Simulation work was performed with temperature and humidity sensors using Proteus VSM software. Upon simulation, the GUI shows its capability of extracting measured data from the data logger and converting the data to a Comma-Separated Values, (CSV) format for further analysis.
Volume: 14
Issue: 1
Page: 396-401
Publish at: 2019-04-01

Recent trends in big data using hadoop

10.11591/ijict.v8i1.pp39-49
Chetna Kaushal , Deepika Koundal
Big data refers to huge set of data which is very common these days due to the increase of internet utilities. Data generated from social media is a very common example for the same. This paper depicts the summary on big data and ways in which it has been utilized in all aspects. Data mining is radically a mode of deriving the indispensable knowledge from extensively vast fractions of data which is quite challenging to be interpreted by conventional methods. The paper mainly focuses on the issues related to the clustering techniques in big data. For the classification purpose of the big data, the existing classification algorithms are concisely acknowledged and after that, k-nearest neighbor algorithm is discreetly chosen among them and described along with an example. 
Volume: 8
Issue: 1
Page: 39-49
Publish at: 2019-04-01

Random access improvement for M2M communication in LTE-A using femtocell

10.11591/ijece.v9i2.pp1153-1162
Eric Sackey , Rajeev Paulus
When an area is highly populated with Machine-to-Machine devices and all these devices attempt to access the Random Access Network Simultaneously, congestion is created on the network which degrades the performance of the network to other users. In this paper, the researchers are seeking to improve network accessibility by deploying more Femtocell into the network. They engaged the use of Extended Access Barring to restrict the M2M devices from accessing the network via macrocell eNB when a minimum load threshold is attained, thereby preventing the macrocell eNB from being congested. Deploying these Femtocells underneath the macrocell eNB comes with the issue of Inter-Cell Interference which nullifies any gains made by this deployment. The researchers employed Fractional Frequency Reuse and Complete Frequency Reuse schemes to mitigate the negative effects of ICI to augment the throughput of the network, improve the system capacity and enhanced the user experience within the network.
Volume: 9
Issue: 2
Page: 1153-1162
Publish at: 2019-04-01

Performance analysis of PV powered multilevel inverter

10.11591/ijece.v9i2.pp753-760
K. Dhineshkumar , C. Subramani , A. Geetha , C. Vimala
This article deals with the PV based DC/DC boost chopper integrated nine level inverter. This topology requires 7 switches in minimum to obtain a nine level stepped wave output. So the main objective of this paper is to develop a 9 level AC output using PV based DC/DC boost chopper. In the case of conventional multi-level inverter, 16 switches were utilized and the number of sources needed was also more. Here the proposed system comprises of single PV panel and the switches used are also less. Also PV is integrated with DC/DC boost chopper is used to increase the source input level of the inverter. Using MATLAB platform, the proposed system is simulated with a resistive and inductive load. The similar results are obtained in prototype which validates the designed converter.
Volume: 9
Issue: 2
Page: 753-760
Publish at: 2019-04-01

Proposed algorithm for image classification using regression-based pre-processing and recognition models

10.11591/ijece.v9i2.pp1021-1027
Chanintorn Jittawiriyanukoon
Image classification algorithms can categorise pixels regarding to image attributes with the pre-processing of learner’s trained samples. The precision and classification accuracy are complex to compute due to the variable size of pixels (different image width and height) and numerous characteristics of image per se. This research proposes an image classification algorithm based on regression-based pre-processing and the recognition models. The proposed algorithm focuses on an optimization of pre-processing results such as accuracy and precision. To evaluate and validate, recognition model is mapped in order to cluster the digital images which are developing the problem of a multidimensional state space. Simulation results show that compared to existing algorithms, the proposed method outperforms with the optimal number of precision and accuracy in classification as well as results higher matching percentage based upon image analytics.
Volume: 9
Issue: 2
Page: 1021-1027
Publish at: 2019-04-01

ImageSubXSS: an image substitute technique to prevent Cross-Site Scripting attacks

10.11591/ijece.v9i2.pp1393-1398
PMD Nagarjun , Shaik Shakeel Ahamad
Cross-Site Scripting (XSS) is one of serious web application attack. Web applications are involved in every activity of human life. JavaScript plays a major role in these web applications. In XSS attacks hacker inject malicious JavaScript into a trusted web application, execution of that malicious script may steal sensitive information from the user. Previous solutions to prevent XSS attacks require a lot of effort to integrate into existing web applications, some solutions works at client-side and some solutions works based on filter list which needs to be updated regularly. In this paper, we propose an Image Substitute technique (ImageSubXSS) to prevent Cross-Site Scripting attacks which works at the server-side. The proposed solution is implemented and evaluated on a number of XSS attacks. With a single line, developers can integrate ImageSubXSS into their applications and the proposed solution is able to prevent XSS attacks effectively.
Volume: 9
Issue: 2
Page: 1393-1398
Publish at: 2019-04-01

Multi parametric model predictive control based on laguerre model for permanent magnet linear synchronous motors

10.11591/ijece.v9i2.pp1067-1077
Nguyen Hong Quang , Nguyen Phung Quang , Dao Phuong Nam , Nguyen Thanh Binh
The permanent magnet linear motors are widely used in various industrial applications due to its advantages in comparisons with rotary motors such as mechanical durability and directly creating linear motions without gears or belts. The main difficulties of its control design are that the control performances include the tracking of position and velocity as well as guarantee limitations of the voltage control and its variation. In this work, a cascade control strategy including an inner and an outer loop is applied to synchronous linear motor. Particularly, an offline MPC controller based on MPP method and Laguerre model was proposed for inner loop and the outer controller was designed with the aid of nonlinear damping method. The numerical simulation was implemented to validate performance of the proposed controller under voltage input constraints.
Volume: 9
Issue: 2
Page: 1067-1077
Publish at: 2019-04-01

Multi-objective whale optimization based minimization of loss, maximization of voltage stability considering cost of DG for optimal sizing and placement of DG

10.11591/ijece.v9i2.pp835-839
J. P. Sridhar , R. Prakash
Huge need in electricity causes placement of Distribution Generation (DG)s like Photovoltaics (PV) systems in distribution side for enhancing the loadability by improving the voltage stability and minimization of loss with minimum cost. Many optimal placements of DG have done in focus of minimum loss and improving voltage profile. This Whale optimization is a new optimization technique framed with mathematics of spiral bubble-net feeding behavior of humpback whales for solving a power system multi-objective problem considering cost of the power tariff and DG. Here main objectives are minimizing loss and cost with maximization of voltage stability index. IEEE 69 power system data is used for solution of the proposed method.
Volume: 9
Issue: 2
Page: 835-839
Publish at: 2019-04-01

MECC scheduling algorithm in vehicular environment for uplink transmission in LTE networks

10.11591/ijece.v9i2.pp1191-1200
Shafinaz Ismail , Darmawaty Mohd Ali , Azita Laily Yusof
Single Carrier Frequency Division Multiple Access (SC-FDMA) is chosen because of the lower peak-to-average power ratio (PAPR) value in uplink transmission. However, the contiguity constraint is one of the major constraint presents in uplink packet scheduling, where all RBs allocated to a single UE must be contiguous in the frequency-domain within each time slot to maintain its single carrier. This paper proposed an uplink-scheduling algorithm namely the Maximum Expansion with Contiguity Constraints (MECC) algorithm, which supports both the RT and NRT services. The MECC algorithm is deployed in two stages. In the first stage, the RBs are allocated fairly among the UEs. The second stage allocates the RBs with the highest metric value and expands the allocation on both sides of the matrix, M with respect to the contiguity constraint. The performance of the MECC algorithm was observed in terms of throughput, fairness, delay, and Packet Loss Ratio (PLR) for VoIP, video and best effort flows. The MECC scheduling algorithm is compared to other algorithms namely the Round Robin (RR), Channel-Dependent First Maximum Expansion (CD-FME), and Proportional Fairness First Maximum Expansion (PF-FME). From here, it can be concluded that the MECC algorithm shows the best results among other algorithms by delivering the highest throughput which is up to 81.29% and 90.04% than CD-FME and RR scheduler for RT and NRT traffic respectively, having low PLR and delay which is up to 93.92% and 56.22% of improvement than CD-FME for the RT traffic flow. The MECC also has a satisfactory level of fairness for the cell-edge users in a vehicular environment of LTE network.
Volume: 9
Issue: 2
Page: 1191-1200
Publish at: 2019-04-01

Numerical simulation of electromagnetic radiation using high-order discontinuous galerkin time domain method

10.11591/ijece.v9i2.pp1267-1274
Pranowo Pranowo , Djoko Budiyanto Setyohadi
In this paper, we propose the simulation of 2-dimensional electromagnetic wave radiation using high-order discontinuous Galerkin time domain method to solve Maxwell's equations. The domains are discretized into unstructured straight-sided triangle elements that allow enhanced flexibility when dealing with complex geometries. The electric and magnetic fields are expanded into a high-order polynomial spectral approximation over each triangle element. The field conservation between the elements is enforced using central difference flux calculation at element interfaces. Perfectly matched layer (PML) boundary condition is used to absorb the waves that leave the domain. The comparison of numerical calculations is performed by the graphical displays and numerical data of radiation phenomenon and presented particularly with the results of the FDTD method. Finally, our simulations show that the proposed method can handle simulation of electromagnetic radiation with complex geometries easily.
Volume: 9
Issue: 2
Page: 1267-1274
Publish at: 2019-04-01

Influence of optimization of control factors on threshold voltage of 18 nm HfO2/TiSi2 NMOS

10.11591/ijeecs.v14.i1.pp295-302
Norani Atan , Burhanuddin Bin Yeop Majlis , Ibrahim Bin Ahmad , K. H. Chong
This paper presents the influence of control factors as the process in development of 18 nm gate length NMOS transistor. The threshold voltage (VTH) can be minimized by optimal the control factors. Five control factors were selected through experiments. They are Adjustment VTH Implantation, Compensation Implantation, Compensation Energy Implantation, Source/Drain Implantation and Halo Implantation.  While the two noise factors were introduced which are Phosphor Silicate Glass (PSG) temperature and Boron Phosphor Silicate Glass (BPSG) temperature to complete the combination with five control factors in process of Taguchi method L27 orthogonal array. The purpose of this research is to find the best value of interaction between combination controls factors and noise factors to achieve the best point of threshold voltage.  In CMOS design, the threshold voltage is the benchmarking of physical parameter for determining the functional of transistor. The Virtual Wafer Fabrication SILVACO software was used to fabricate the 18 nm NMOS device. Hafnium Oxide (HfO2) and Titanium dioxide (TiO2) were utilized as the high-K materials and the Titanium Silicide (TiSi2) was utilized as metal gate. The statistics data are from the signal noise ratio (SNR) with nominal-the best (NTB) and the analysis of variance (ANOVA) of L27 orthogonal array are executed to minimize the variance of threshold voltage. The results show that the optimization and interaction method is achieved to perform the threshold voltage value with least variance  is 0.3055 volts while the target value that is 0.302 ± 12.7% volts from value recommendation by the International Roadmap for Semiconductor prediction 2012.
Volume: 14
Issue: 1
Page: 295-302
Publish at: 2019-04-01
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