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30,609 Article Results

Smooth Support Vector Machine for Suicide-Related Behaviours Prediction

10.11591/ijece.v8i5.pp3399-3406
G. Indrawan , I K P Sudiarsa , K. Agustini , Sariyasa Sariyasa
Suicide-related behaviours need to be prevented on psychiatric patients. Prediction of those behaviours based on patient medical records would be very useful for the prevention by the psychiatric hospital. This research focused on developing this prediction at the only one psychiatric hospital of Bali Province by using Smooth Support Vector Machine method, as the further development of Support Vector Machine. The method used 30.660 patient medical records from the last five years. Data cleaning gave 2665 relevant data for this research, includes 111 patients that have suicide-related behaviours and under active treatment. Those cleaned data then were transformed into ten predictor variables and a response variable. Splitting training and testing data on those transformed data were done for building and accuracy evaluation of the method model. Based on the experiment, the best average accuracy at 63% can be obtained by using 30% of relevant data as data testing and by using training data which has one-to-one ratio in number between patients that have suicide-related behaviours and patients that have no such behaviours. In the future work, accuracy improvement need to be confirmed by using Reduced Support Vector Machine method, as the further development of Smooth Support Vector Machine.
Volume: 8
Issue: 5
Page: 3399-3406
Publish at: 2018-10-01

Assessment of Crowdsourcing Task Multidimensional Relationship Model through Application Prototype

10.11591/ijeecs.v12.i1.pp378-385
Nurhayati Zakaria , Siti Salwa Salleh , Norjansalika Janom , Syaripah Ruzaini Syed Aris
Crowdsourcing is a process where a company outsources a task to a large group of the digital worker through an online platform. In Malaysia, the crowdsourcing ecosystem comprises of three key role players which are job providers, platforms and digital workers. The cycle starts when a job issued by the job providers. Then the platform advertises it to the digital workers who registered themselves in the system. The digital worker is an individual having different skills, knowledge, experiences and education level. Those who are interested and has the capabilities to complete it will pull the job based on the first come first serve basis. Basically, the aim of the platform is to ensure that the tasks are taken immediately and completed within a given time by the right skill of the digital worker. However, the platform does not have a structured mechanism to classify the type of task that would confirm the task match to the digital worker. Tasks are given based on digital worker skills and knowledge. A comprehensive mechanism to define and describe the task properties is important. Apart from enabling the determination of the remuneration value, it will also specify skill required and their level of competency. To solve that issues, this paper present the flow and process development and measured the relationships between the types of tasks and the digital workers in alluvial chart apps prototype. 76% of respondents agreed that the alluvial chart shows a comprehensive relationship.  As a conclusion, this study defined the comprehensive relationships among the variables will facilitate a platform to match between digital workers to the tasks.
Volume: 12
Issue: 1
Page: 378-385
Publish at: 2018-10-01

Performance Comparison of Multi Input Capacitor Converter Circuits

10.11591/ijece.v8i5.pp3471-3483
Sreejith S , Karthik Balasubramanian
This paper analyze the operation of a multi input switched capacitor (MIC) converters using a couple of switches, diodes and capacitors for several levels. With two input sources it is possible to obtain 8 output voltage levels. Here, 5 topologies of switched capacitor circuits namely summation, subtraction, inverting, double and half circuits are simulated and their performances are analyzed. Multi Input Converters have a high regard for multiple renewable energy sources used in smart grid systems, especially for distributed generators. The effects on output voltage with variation in load for different frequencies are also analyzed. Hardware implementation of summation and subtraction circuit is carried out and the results are compared with the simulated results
Volume: 8
Issue: 5
Page: 3471-3483
Publish at: 2018-10-01

Design of Wide-band Power Amplifier based on Power Combiner Technique with Low Intermodulation Distortion

10.11591/ijece.v8i5.pp3504-3511
Mussa Mabrok , Zahriladha Zakaria , Nasrullah Saifullah
RF power amplifiers are one of challenging blocks in designing radio frequency transceivers, this is due to non-linearity behavior of power amplifiers that leads to inter-modulation distortion. This paper presents the design of wide-band power amplifier which combined with parallel coupled line band pass filter at the input and output of power amplifier to allow the only required frequency band to pass through the power amplifier. Class-A topology and ATF-511P8 transistor are used in this design. Advanced Design System software used as a simulation tool to simulate the designed wide-band power amplifier. The simulation results showed an input return loss (S11) which less than -10dB, and gain (S21) is higher than 10 dB over the entire frequency band and considers as flat as well. The designed amplifier is stable over the bandwidth (K>1). Inter-modulation distortion is -56.919dBc which is less than -50dBc with 10dBm input power. The designed amplifier can be used for the microwave applications which include weather radar, satellite communication, wireless networking, mobile, and TV.
Volume: 8
Issue: 5
Page: 3504-3511
Publish at: 2018-10-01

Forensic and Automatic Speaker Recognition System

10.11591/ijece.v8i5.pp2804-2811
Satyanand Singh
Current Automatic Speaker Recognition (ASR) System has emerged as an important medium of confirmation of identity in many businesses, ecommerce applications, forensics and law enforcement as well. Specialists trained in criminological recognition can play out this undertaking far superior by looking at an arrangement of acoustic, prosodic, and semantic attributes which has been referred to as structured listening. An algorithmbased system has been developed in the recognition of forensic speakers by physics scientists and forensic linguists to reduce the probability of a contextual bias or pre-centric understanding of a reference model with the validity of an unknown audio sample and any suspicious individual. Many researchers are continuing to develop automatic algorithms in signal processing and machine learning so that improving performance can effectively introduce the speaker’s identity, where the automatic system performs equally with the human audience. In this paper, I examine the literature about the identification of speakers by machines and humans, emphasizing the key technical speaker pattern emerging for the automatic technology in the last decade. I focus on many aspects of automatic speaker recognition (ASR) systems, including speaker-specific features, speaker models, standard assessment data sets, and performance metrics
Volume: 8
Issue: 5
Page: 2804-2811
Publish at: 2018-10-01

A Triple Band Bow Tie Array Antenna Using Both-sided MIC Technology

10.11591/ijece.v8i5.pp3038-3045
Akimun Jannat Alvina , Samia Sabrin , Mohammad Istiaque Reja , Jobaida Akhtar
A single-fed linearly polarized 2x2 microstrip bow tie array antenna is proposed. The feed network has microstrip line and slot line where microstrip-slot branch circuit is connected in parallel. The feed network of the array is designed using both-sided MIC Technology to overcome the impedance matching problem of conventional feed networks. The 2x2 half bow tie array antenna is also truncated with spur lines for optimization of antenna performance. The array antenna unit can be realized in very simple and compact structure, as all the antenna elements and the feeding circuit is arranged on a Teflon glass fiber substrate without requiring any external network. The design frequency of the proposed antenna is 5 to 8 GHz (CBand) and the obtained peak gain is 12.41 dBi. The resultant axial ratio indicates that linear polarization is achieved. 
Volume: 8
Issue: 5
Page: 3038-3045
Publish at: 2018-10-01

Keyframe Selection of Frame Similarity to Generate Scene Segmentation Based on Point Operation

10.11591/ijece.v8i5.pp2839-2846
Wisnu Widiarto , Mochamad Hariadi , Eko Mulyanto Yuniarno
Video segmentation has been done by grouping similar frames according to the threshold. Two-frame similarity calculations have been performed based on several operations on the frame: point operation, spatial operation, geometric operation and arithmatic operation. In this research, similarity calculations have been applied using point operation: frame difference, gamma correction and peak signal to noise ratio. Three-point operation has been performed in accordance with the intensity and pixel frame values. Frame differences have been operated based on the pixel value level. Gamma correction has analyzed pixel values and lighting values. The peak signal to noise ratio (PSNR) has been related to the difference value (noise) between the original frame and the next frame. If the distance difference between the two frames was smaller then the two frames were more similar. If two frames had a higher gamma correction factor, then the correction factor would have an increasingly similar effect on the two frames. If the value of PSNR was greater then the comparison of two frames would be more similar. The combination of the three point operation methods would be able to determine several similar frames incorporated in the same segment
Volume: 8
Issue: 5
Page: 2839-2846
Publish at: 2018-10-01

A Comparative Study: Taxonomy of High Performance Computing (HPC)

10.11591/ijece.v8i5.pp3386-3391
Ranjit Rajak
The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.
Volume: 8
Issue: 5
Page: 3386-3391
Publish at: 2018-10-01

Design and Simulation of Novel 11-level Inverter Scheme with Reduced Switches

10.11591/ijece.v8i5.pp3536-3543
R. Palanisamy , Gaurav Singh , Priyanka Das , D. Selvabharathi , Sourav Sinha , Arnab Nag
This work recommends the performance of coupled inductor based novel 11-level inverter with reduced number of switches. The inverter which engender the sinusoidal output voltage by the use of split inductor with minimised total harmonic distortion (THD). The voltage stress on each controlled switching devices, capacitor balancing and switching losses can be reduced. The proposed system which gives better controlled output current and improved output voltage with moderate THD value. The switching devices of the system are controlled by using multicarrier sinusoidal pulse width modulation algorithm by comparing the carrier signals with sinusoidal signal. The simulation and experimental results of the proposed 11-level inverter system outputs are established using matlab/Simulink and dsPIC microcontroller respectively.
Volume: 8
Issue: 5
Page: 3536-3543
Publish at: 2018-10-01

A New Windings Design of 24 Slot Capacitor-Start Capacitor-Run Induction Motor

10.11591/ijece.v8i5.pp3463-3470
Zuriman Anthony , Erhaneli Erhaneli
The conventional method of a single phase induction motor windings design usually constructed the main and auxiliary windings in both slot. So, there was a complicated winding design if that compare to the three-phase induction motor. Because of that, this study was aimed to design a new windings design of a single phase induction motor that construction like a three-phase induction motor. This study was focused to design a 24 slot capacitor-start capacitor-run induction motor. The windings in the motor are divided in 3 group like a three-phase induction motor. The two windings act as a main windings and the other winding act as auxiliary winding. The current rating of the winding of the proposed single-phase induction motor was 2.74A. The performances of the proposed method were compared with the performances of a three-phase induction motor that had the same current rating. The motor used as a comparator was a three-phase induction of 380/220V, 2.74/4.7A, Y/Δ, cage rotor, 4 poles, 1.5 HP, 1400 RPM, 50Hz. The result of this study showed that the proposed design of single phase induction motor could be operated with better performances than the three-phase comparator induction motor’s.
Volume: 8
Issue: 5
Page: 3463-3470
Publish at: 2018-10-01

Center of Pressure Feedback for Controlling the Walking Stability Bipedal Robots using Fuzzy Logic Controller

10.11591/ijece.v8i5.pp3678-3696
Afrizal Mayub , Fahmizal Fahmizal
This paper presents a sensor-based stability walk for bipedal robots by using force sensitive resistor (FSR) sensor. To perform walk stability on uneven terrain conditions, FSR sensor is used as feedbacks to evaluate the stability of bipedal robot instead of the center of pressure (CoP). In this work, CoP that was generated from four FSR sensors placed on each foot-pad is used to evaluate the walking stability. The robot CoP position provided an indication of walk stability. The CoP position information was further evaluated with a fuzzy logic controller (FLC) to generate appropriate offset angles to be applied to meet a stable situation. Moreover, in this paper designed a FLC through CoP region's stability and stable compliance control are introduced. Finally, the performances of the proposed methods were verified with 18-degrees of freedom (DOF) kid-size bipedal robot.
Volume: 8
Issue: 5
Page: 3678-3696
Publish at: 2018-10-01

A Fault Tolerant Control for Sensor and Actuator Failures of an Non Linear Hybrid System

10.11591/ijece.v8i5.pp2864-2882
Chalandi Hanene , Ben Slimane Jihane , Ksouri Moufida
We focused in this work on a fault tolerant control of a non linear hybrid system class based on diagnosis method (determine and locate the defects and their types) and on the faults reconfiguration method.In literature we can found many important research activities over the fault-tolerant control of non linear systems and linear Hybridsystems. But it dosen´t exist too many for the non linear hybridsystem.The main idea in this paper is to consider a new approach to improve the reconfiguration performance of the non linear hybrid system by using hammerstein method which is designed to works only for linear systems. This method compensated the effect of the faults and guarantees the closed-loop system stable. The proposed method is simulated with a hydraulic system of two tanks with 4 modes.
Volume: 8
Issue: 5
Page: 2864-2882
Publish at: 2018-10-01

Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Algorithm

10.11591/ijece.v8i5.pp2795-2803
P. Anil Kumar , B. Anuradha
Pattern recognition has been acknowledged as one of the promising research areas and it has drawn the awareness among many researchers since its existence at the beginning of the nineties. Multilayer Neural networks are used in pattern Recognition and classification based on the features derived from the input patterns. The Reflectivity information extracted from the Doppler Weather Radar (DWR) image helps in identifying the convective cloud type which has a strong relation to the precipitation rate. The reflectivity information is rooted in the DWR image with the help of colors and color bar is provided to distinguish among different reflectivity information. Artificial Neural network predicts the color based on the maximum likelihood estimation problem. This paper presents a best possible backpropagation algorithm for color identification in DWR images by comparing various backpropagation algorithms such as LevenbergMarquardt, Conjugate gradient, and Resilient back propagation etc.,. Pattern recognition using Neural networks presents better results compared to standard distance measures. It is observed that Levenberg-Marquardt backpropagation algorithm yields a regression value of 99% approximately and accuracy of 98%
Volume: 8
Issue: 5
Page: 2795-2803
Publish at: 2018-10-01

Pupil Detection Based on Color Difference and Circular Hough Transfor

10.11591/ijece.v8i5.pp3278-3284
Hazim G. Daway , Hana H. kareem , Ahmed Rafid Hashim
Human pupil eye detection is a significant stage in iris segmentation which is representing one of the most important steps in iris recognition. In this paper, we present a new method of highly accurate pupil detection. This method is consisting of many steps to detect the boundary of the pupil. First, the read eye image (R, G, B), then determine the work area which is consist of many steps to detect the boundary of the pupil. The determination of the work area contains many circles which are larger than pupil region. The work area is necessary to determine pupil region and neighborhood regions afterward the difference in color and intensity between pupil region and surrounding area is utilized, where the pupil region has color and intensity less than surrounding area. After the process of detecting pupil region many steps on the resulting image is applied in order to concentrate the pupil region and delete the others regions by using many methods such as dilation, erosion, canny filter, circle hough transforms to detect pupil region as well as apply optimization to choose the best circle that represents the pupil area. The proposed method is applied for images from palacky university, it achieves to 100 % accurac
Volume: 8
Issue: 5
Page: 3278-3284
Publish at: 2018-10-01

Laptop Cooling Pad Temperature Monitoring System

10.11591/ijeecs.v12.i1.pp420-427
Shamsul Kamal Ahmad Khalid , Noor Azah Samsudin , Nor Amirul Amri Nordin , Muhammad Syariff Aripin
Cooling pads are commonly used to reduce temperature of laptop to avoid overheating problem. However, existing cooling pads are prone to various limitations: fixed voltage in the hardware component, inaccurate temperature readings and lacked of computer-based temperature monitoring functions. In this paper, a laptop cooling system with multivoltage fan speed controller using real-time processor temperature readings is proposed. A graphical user interface (GUI) and color coded LEDs are also implemented to provide visual inspection of the temperature values captured from the laptop. The temperature values are displayed in graph and tabular form.  The performance of the proposed cooling pad with computer-based monitoring application is evaluated against two other types of existing cooling pad systems.  The experiments have shown that the temperature values can be monitored clearly with the proposed GUI. More importantly, the proposed cooling pad system has the potential to achieve lower temperature faster than the rest of the existing cooling pad systems.
Volume: 12
Issue: 1
Page: 420-427
Publish at: 2018-10-01
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