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29,734 Article Results

Determining Best Window Size for an Improved Gabor Transform in EMG Signal Analysis

10.12928/telkomnika.v16i4.9049
E.F.; Universiti Putra Malaysia (UPM) Shair , S.A.; Universiti Putra Malaysia (UPM) Ahmad , A.R.; Universiti Teknikal Malaysia Melaka (UTeM) Abdullah , M.H.; Universiti Putra Malaysia (UPM) Marhaban , S.B. Mohd; Universiti Putra Malaysia (UPM) Tamrin
Electromyography EMG is a standout amongst the most regularly utilized tools to study human muscle condition. But due to the intricate attributes of the EMG itself, time-frequency distributions such as Gabor transform and spectrogram are more preferred than the simpler time distribution and frequency distribution. These techniques have been broadly utilized as it can provide both time and frequency information. However, both techniques have a fix window size for all frequency values, thus there exist a problem of determination of the window size, where excessively limit window and too wide window, will result in poor frequency resolution and time resolution, respectively. Along these lines, the point of this study is to choose the best window size so as to be utilized with Gabor transform to screen human muscle activity during core-lifting task. Four electrodes were placed on the right and left biceps brachii, and left and right erector spinae. In this study, the results of five acceptable window sizes (300, 400, 430, 450 and 520) were shown, despite the fact that other window sizes were also tested. Three criteria have been considered during the determination of the best window size, which are good time resolution, good frequency resolution, and high accuracy. Results demonstrate that window size of 450 is the best compared to others. As an additional analysis, the result is compared to a spectrogram and it can be seen that Gabor transform is better, as it has the flexibility in choosing the window size, thus affects the resolution and accuracy.
Volume: 16
Issue: 4
Page: 1650-1658
Publish at: 2018-08-01

Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification

10.11591/ijeecs.v11.i2.pp549-557
Nurbaity Sabri , Zaidah Ibrahim , Dino Isa
This paper investigates the application of eight color models for automatic palm oil Fresh Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM).  Ripeness classification is important during harvesting to ensure that they are harvested during the correct ripe stage for optimum oil production.  Since color is a significant indicator for agriculturists to determine the ripeness of FFB, it is critical to determine the right color model. Eight color models have been investigated namely, HSV, I1I2I3, LAB, XYZ, YCbCr, YIQ, YUV and RGB. Color moments were extracted from each of these color models for the classification of four stages of FFB ripeness that are unripe, under-ripe, ripe and over-ripe.  A database of five hundred images of palm oil FFB has been constructed and experiments showed that YCbCr and YUV outperform the other color models.
Volume: 11
Issue: 2
Page: 549-557
Publish at: 2018-08-01

An approach to Measure Transition Density of Binary Sequences for X-filling based Test Pattern Generator in Scan based Design

10.11591/ijece.v8i4.pp2063-2071
Sabir Hussain , V. Malleshwara Rao
Switching activity and Transition density computation is an essential stage for dynamic power estimation and testing time reduction. The study of switching activity, transition densities and weighted switching activities of pseudo random binary sequences generated by Linear Feedback shift registers and Feed Forward shift registers plays a crucial role in design approaches of Built-In Self Test, cryptosystems, secure scan designs and other applications. This paper proposed an approach to find transition densities, which plays an important role in choosing of test pattern generator We have analyze conventional and proposed designs using our approache, This work also describes the testing time of benchmark circuits. The outcome of this paper is presented in the form of algorithm, theorems with proofs and analyses table which strongly support the same. The proposed algorithm reduces switching activity and testing time up to 51.56% and 84.61% respectively.
Volume: 8
Issue: 4
Page: 2063-2071
Publish at: 2018-08-01

Distributed Control System Applied in Temperatur Control by Coordinating Multi-loop Controllers

10.12928/telkomnika.v16i4.3135
Edi; Bandung State Polytechnic Rakhman , Feriyonika; Bandung State Polytechnic Feriyonika
In Distributed Control System (DCS), multitasking management has been important issues continuously researched and developed. In this paper, DCS was applied in global temperature control system by coordinating three Local Control Units (LCUs). To design LCU’s controller parameters, both analytical and experimental method were employed. In analytical method, the plants were firstly identified to get their transfer functions which were then used to derive control parameters based on desired response qualities. The experimental method (Ziegler-Nichols) was also applied due to practicable reason in real industrial plant (less mathematical analysis). To manage set-points distributed to all LCUs, master controller was subsequently designed based on zone of both error and set-point of global temperature controller. Confirmation experiments showed that when using control parameters from analytical method, the global temperature response could successfully follow the distributed set-points with 0% overshoot, 193.92 second rise time, and 266.88 second settling time. While using control parameters from experimental method, it could also follow the distributed set-points with presence of overshoot (16.9%), but has less rise time and settling time (111.36 and 138.72 second). In this research, the overshoot could be successfully decreased from 16.9 to 9.39 % by changing master control rule. This proposed method can be potentially applied in real industrial plant due to its simplicity in master control algorithm and presence of PID controller which has been generally included in today industrial equipments.
Volume: 16
Issue: 4
Page: 1568-1576
Publish at: 2018-08-01

Measurement of Shear Strain in Map Liquefaction Area for Earthquake Mitigation in Bengkulu City

10.12928/telkomnika.v16i4.8043
Muhammad; Bengkulu University Farid , Arif Ismul; Bengkulu University Hadi
Bengkulu city is well-known as a high-risk area for an earthquake. One of the effects of the earthquake is liquefaction, the phenomenon in which the strength and stiffness of the soil are reduced by shock. The researchers measured the quantity of liquefaction by knowing the value of Vs30 values that can be obtained from the United States Geological Survey (USGS). In this study, however, we measured liquefaction based on the shear strain value (γ). Here, the shear strain values could be determined by measuring the seismic vulnerability index and the peak ground acceleration. The vulnerability index was obtained by measuring the resonance of the frequency and the amplification factor using a short period seismometer with 3 components (2 horizontal components and 1 vertical component), whereas the peak ground accelerationα was obtained from the earthquake data that happened in Bengkulu City in 2000. The result showed that Vs30 and shear strain negatively correlated.
Volume: 16
Issue: 4
Page: 1597-1606
Publish at: 2018-08-01

Specific Absorption Rate Assessment of Multiple Microstrip Patch Antenna Array

10.12928/telkomnika.v16i4.9041
Nur Ilham Aliyaa; Universiti Teknologi Malaysia Ishak , Norhudah; Universiti Teknologi Malaysia Seman , Noor Asmawati; Universiti Teknologi Malaysia Samsuri
Interaction between electromagnetic field (EMF) radiated from multiple antennas and human body is crucial to be explored as multiple antennas are the essential implemented devices to achieve the requirements of the future evolved fifth generation (5G) technology. Thus, this article presents a significant study of the radiated EMF effect from a single, and multiple antennas towards human through the assessment of specific absorption rate (SAR). The single antenna, 1 x 2, 1 x 3 and 1 x 4 arrays of microstrip patch antennas are designed to cover mobile operating frequencies of 0.8, 0.85, 0.9, 1.8, 2.1 and 2.6 GHz. Two types of human head phantoms are implemented in this study, which are specific anthropomorphic mannequin (SAM) and Voxel head model that placed close to single antenna or antenna array to investigate the penetration of EMF towards the human tissue. The single antenna or antenna array is placed with fixed distance of 10 mm from the phantom, which excited by maximum allowable power of 19 dBm in CST Microwave Studio 2016. The effect of the radiated EMF that quantified by SAR parameter, which depicts satisfying results against the established standard limits at averaged 1g and 10g mass of tissues for all designated frequencies that utilized for single and multiple antennas.
Volume: 16
Issue: 4
Page: 1500-1507
Publish at: 2018-08-01

Implementation of Robust Tracking Algorithm on Nano-Computer

10.11591/ijeecs.v11.i2.pp446-452
Khaled Hammemi , Mohamed Atri
In this work, we developed the NSSD-DT method, which allows us to track a target in a robust way. This method effectively overcomes the problems of geometrical deformation of the target, partial occlusion and allows recovery after the target leaves the field of view. The originality of our algorithm is based on a new model, which does not depend on a probabilistic process and does not require data-based beforehand. Experimental results on several difficult video sequences have proven performance benefits. The algorithm is implemented on a BCS 2835 system based on a quad core ARM processor, it is also compared to the software solution. NSSD-DT can be used in several applications such as video surveillance, active vision or industrial visual servoing.
Volume: 11
Issue: 2
Page: 446-452
Publish at: 2018-08-01

Design of Electronic Nose System Using Gas Chromatography Principle and Surface Acoustic Wave Sensor

10.12928/telkomnika.v16i4.7127
Anifatul; Institut Teknologi Sepuluh Nopember (ITS) Faricha , Suwito; Institut Teknologi Sepuluh Nopember Suwito , M.; Institut Teknologi Sepuluh Nopember Rivai , M.A.; Bogor Agricultural University Nanda , Djoko; Institut Teknologi Sepuluh Nopember Purwanto , Rizki Anhar; PGRI Adi Buana University R.P.
Most gases are odorless, colorless and also hazard to be sensed by the human olfactory system. Hence, an electronic nose system is required for the gas classification process. This study presents the design of electronic nose system using a combination of Gas Chromatography Column and a Surface Acoustic Wave (SAW). The Gas Chromatography Column is a technique based on the compound partition at a certain temperature. Whereas, the SAW sensor works based on the resonant frequency change. In this study, gas samples including methanol, acetonitrile, and benzene are used for system performance measurement. Each gas sample generates a specific acoustic signal data in the form of a frequency change recorded by the SAW sensor. Then, the acoustic signal data is analyzed to obtain the acoustic features, i.e. the peak amplitude, the negative slope, the positive slope, and the length. The Support Vector Machine (SVM) method using the acoustic feature as its input parameters are applied to classify the gas sample. Radial Basis Function is used to build the optimal hyperplane model which devided into two processes i.e., the training process and the external validation process. According to the result performance, the training process has the accuracy of 98.7% and the external validation process has the accuracy of 93.3%. Our electronic nose system has the average sensitivity of 51.43 Hz/mL to sense the gas samples.
Volume: 16
Issue: 4
Page: 1457-1467
Publish at: 2018-08-01

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

10.12928/telkomnika.v16i4.8432
Usman; Bogor Agricultural University Ahmad , Dwi Pamungkas; Bogor Agricultural University Bermani , Mardison; Bogor Agricultural University Mardison
Human visual perception on color of melon fruit for ripeness judgement is a complex phenomenon that depends on many factors, making the judgement is often inaccurate and inconsistent. The objective of this study is to develop an image processing algorithm that can be used for distinguishing ripe melons from unripe ones based on their skin color. The image processing algorithm could then be used as a pre-harvest tool to facilitate farmers with enough information for making decisions about whether or not the melon is ready to harvest. Four sample groups of Golden Apollo melon were harvested at four different age, with 55 fruits in each group. Using the color distribution as results of the image analysis, the first two groups of the samples can be separated from other groups with minimal overlap, but they cannot be separated in the other two groups. The color image analysis of the melons in combination with discriminant analysis could be used to distiguish between harvesting age groups with an average accuracy of 86%.
Volume: 16
Issue: 4
Page: 1659-1666
Publish at: 2018-08-01

Combining Two Models of Successful Information System Measurement

10.12928/telkomnika.v16i4.7737
Pualam Dipa; Universitas Bina Nusantara Nusantara , Nyoman Ayu; Universitas Bina Nusantara Gayatri , Martin; Universitas Bina Nusantara Suhartana
This paper purposes is to measure successful of Academic Advisory information system by combining two models of information system measurement. DeLone & McLean IS Success Model use to measure the successful of system while COBIT framework is to measure system maturity level. Result of this research showed that the successful of Academic Advisory IS affected by User Satifaction, Quality of Service, Quality of System while Maturity level at 3.7. The result also showed there’s a relation between level of maturity system with the success of system.
Volume: 16
Issue: 4
Page: 1793-1800
Publish at: 2018-08-01

Backtracking Search Optimization for Collaborative Beamforming in Wireless Sensor Networks

10.12928/telkomnika.v16i4.9058
N.N. Ahmad; Universiti Teknologi Malaysia Nazri , N.N. Nik Abd; Universiti Teknologi Malaysia Malik , L.; Universite of Haute-Alsace Idoumghar , N.M. Abdul; Universiti Teknologi Malaysia Latiff , S.; Universiti Teknologi Malaysia Ali
Due to energy limitation and constraint in communication capabilities, the undesirable high battery power consumption has become one of the major issues in wireless sensor network (WSN). Therefore, a collaborative beamforming (CB) method was introduced with the aim to improve the radiation beampattern in order to compensate the power consumption. A CB is a technique which can increase the sensor node gain and performance by aiming at the desired objectives through intelligent capabilities. The sensor nodes were located randomly in WSN environment. The nodes were designed to cooperate among each other and act as a collaborative antenna array. The configuration of the collaborative nodes was modeled in circular array formation. The position of array nodes was determined by obtaining the optimum parameters pertaining to the antenna array which implemented by using Backtracking Search Optimization Algorithm (BSA). The parameter considered in the project was the side-lobe level minimization. It was observed that, the suppression of side-lobe level for BSA was better compared to the radiation beampattern obtained for conventional uniform circular array.
Volume: 16
Issue: 4
Page: 1801-1808
Publish at: 2018-08-01

Asthma Identification Using Gas Sensors and Support Vector Machine

10.12928/telkomnika.v16i4.8281
Hari Agus; Institut Teknologi Sepuluh Nopember Sujono , Muhammad; Institut Teknologi Sepuluh Nopember Rivai , Muhammad; Airlangga University Amin
The exhaled breath analysis is a procedure of measuring several types of gases that aim to identify various diseases in the human body. The purpose of this study is to analyze the gases contained in the exhaled breath in order to recognize healthy and asthma subjects with varying severity. An electronic nose consisting of seven gas sensors equipped with the Support Vector Machine classification method is used to analyze the gases to determine the patient's condition. Non-linear binary classification is used to identify healthy and asthma subjects, whereas the multiclass classification is applied to recognize the subjects of asthma with different severity. The result of this study showed that the system provided a low accuracy to distinguish the subjects of asthma with varying severity. This system can only differentiate between partially controlled and uncontrolled asthma subjects with good accuracy. However, this system can provide high sensitivity, specificity, and accuracy to distinguish between healthy and asthma subjects. The use of five gas sensors in the electronic nose system has the best accuracy in the classification results of 89.5%. The gases of carbon monoxide, nitric oxide, volatile organic compounds, hydrogen, and carbon dioxide contained in the exhaled breath are the dominant indications as biomarkers of asthma.The performance of electronic nose was highly dependent on the ability of sensor array to analyze gas type in the sample. Therefore, in further study we will employ the sensors having higher sensitivity to detect lower concentration of the marker gases.
Volume: 16
Issue: 4
Page: 1468-1480
Publish at: 2018-08-01

Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography

10.11591/ijeecs.v11.i2.pp761-767
Raihan Sabirah Sabri , Roshidi Din , Aida Mustapha
In today's era of big data computer networks, protection of secret messages when transmitting information is a major concern. The openness and publicity of the communication channel are the main attraction for malicious people to steal personal data even though privacy protection in operational. Data extraction is process that reverses the data embedding process in information hiding. However, the performance of an information hiding framework highly depends on the evaluation metrics used. The effectiveness of evaluation itself is mainly determined by the performance aspect or critera such as capacity, imperceptibility or security. The aim of this paper is to present a review on trends for existing performance metrics used in extraction schemes from a data hiding framework. This review is hoped to help future research in evaluating the performance of data hiding framework in general and the proposed extraction schemes in specific.
Volume: 11
Issue: 2
Page: 761-767
Publish at: 2018-08-01

Design and Fabrication of the Novel Miniaturized Microstrip Coupler 3dB Using Stepped Impedance Resonators for the ISM Applications

10.12928/telkomnika.v16i4.9230
Azzeddine; Hassan 1st University of Settat Sardi , Jamal; Hassan 1st University of Settat Zbitou , Ahmed; Hassan 1st University of Settat Errkik , Mohamed; Microwave Group Latrach
In this work, a novel miniaturized compact coupler using the shunt-stubs artificial transimission lines with high and low impedances is presented. Design of the proposed coupler is accomplished by modifying the length and impedance of the branch lines in the conventional structure with the planar resonators in order to achieve branch line coupler with compact size and improvement of the performances. First part of this work is focusing on the theorical study of the proposed resonators where the equations are obtained. Secondly, the proposed coupler is designed on FR4 susbtrate, and simulated by using the EM Solver (ADS from Agilent technologies and CST microwave studio) in order to operate in the ISM band. The obtained results show good agreement with the simulations and the coupler shows a good perfo6rmance in the hole bandwidth. The size of the proposed coupler is reduced around 50% compared to the conventional design. The last part conerns the fabrication and test of the proposed coupler. The measurement and simulation results are in good agreements.
Volume: 16
Issue: 4
Page: 1560-1567
Publish at: 2018-08-01

Sub Microsecond Analysis of Negative Cloud-To-Ground Lightning Flashes

10.11591/ijeecs.v11.i2.pp711-717
A.I.A. Rahman , M.A. Bahari , Z.A. Baharudin , A.A. Zulkefle , M. Zainon , M.A.M. Hanafiah
This paper expounds a development software for the identification of lightning discharge in cloud-to-ground flashes. The study was to reduce a misleading detection of the electric field radiation of a lightning discharge profile by considering the important parameters of sub microseconds structure of lightning return stroke. The software was built-in MATLAB. The development of the software considered the important parameter of return strokes such as peak value, zero crossing, rising time and fast transition time. We used a modelling technique for training and patterning the 19 return stroke from electric radiation field generated by the negative cloud-ground lightning flashes recorded in Universiti Teknikal Malaysia Melaka. The 19 return strokes data were recorded by using Lecroy HDO4024 with 5 MS/s. The results showed that the software had the ability to recognize the lightning parameters such as peak value, zero crossing, rising time and fast transition time. In conclusion, the software was able solved the uncertainty of the unknown cloud-to-ground lightning flashes parameter.
Volume: 11
Issue: 2
Page: 711-717
Publish at: 2018-08-01
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