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29,905 Article Results

First order parallel coupled BPF with wideband rejection based on SRR and CSRR

10.12928/telkomnika.v17i6.10790
Zaid A.; Al-Mustansiriayah University Abdul Hassain , Amer Abbood; Al-Mustansiriayah University AL-Behadili , Adham R.; Uruk University Azeez
In this paper a new approach for first order Chebyshev parallel coupled Bandpass filter resonant at 1 GHz is presented to obtain better results (wideband rejection, high selectivity and low bandpass insertion loss) compared to conventional design. The proposed filter (a tri-formation consisting of CSRR, SRR and stubs of stepped impedance are loaded microstrip resonator) can be configured, by laying split ring resonator (SRR) and complementary split ring resonator (CSRR) with 50 Ω microstrip lines, in addition to effect of loading two stubs of stepped impedance around center of midline microstrip with impedance line 55.36 Ω of parallel coupled. The proposed filter produces high selectivity from passband to stopband transition equals to 307.5 dB/GHz and an excellent wide stopband performance extend from 1.22 GHz to 5 GHz (harmonics repression till for 5 ƒ0); all are bellow -20 dB excepting one transmission zero of -19 dB, that can be eliminate the harmonic superior frequencies without using any external Bandstop filter. Also, enhancement low bandpass insertion loss level, where it reaches 0.25 dB at fundamental centered frequency (ƒ0 = 0.96 GHz) with 21% bandwidth. The proposed filter is designed and simulated with computer aided of Ansoft HFSS software package which ordinarily used in microwave application.
Volume: 17
Issue: 6
Page: 2704-2712
Publish at: 2019-12-01

Computer vision for purity, phenol, and pH detection of Luwak Coffee Green Bean

10.12928/telkomnika.v17i6.12689
Yusuf; Universitas Brawijaya Hendrawan , Shinta; Universitas Brawijaya Widyaningtyas , Sucipto; Universitas Brawijaya Sucipto
Computer vision as a non-invasive bio-sensing method provided opportunity to detect purity, total phenol, and pH in Luwak coffee green bean. This study aimed to obtain the best Artificial Neural Network (ANN) model to detect the percentage of purity, total phenol, and pH on Luwak coffee green bean by using color features (red-green-blue, gray, hue-saturation-value, hue-saturation-lightness, L*a*b*), and Haralick textural features with color co-occurrence matrix including entropy, energy, contrast, homogeneity, sum mean, variance, correlation, maximum probability, inverse difference moment, and cluster tendency. The best ANN structure was (5 inputs; 30 nodes in hidden layer 1; 40 nodes in hidden layer 2; and 3 outputs) which had training mean square error (MSE) of 0.0085 and validation MSE of 0.0442.
Volume: 17
Issue: 6
Page: 3073-3085
Publish at: 2019-12-01

Power quality analysis based on simulation and MATLAB/Simulink

10.11591/ijeecs.v16.i3.pp1144-1153
Ahmed Salam Hussein , Majli Nema Hawas
This paper in existence a complete system connected to all situations power quality event, which has been achieved using MATLAB/SIMULINK and utilizing parametric equations. In electrical energy allocation system, the disturbances of power quality have emerged as an important matter for usefulness and customers. This design incorporates distribution two capacitor bank, line fault, starting of induction motor, non-linear load and transformer energizing that are usage to simulate diverse kind of voltage sag. In simulate voltage provisional through distribution network produced as a result of effect capacitor bank switching version in the general model. For clarity, this model is advanced with an integrated block and setting in which all event situations are organized for energy quality without scarifying the gist it. This model Integrated is too beneficial to simulate different energy quality waveforms. The performance of the brand new automated categorization algorithms received are appropriate for checking waveforms of power quality.
Volume: 16
Issue: 3
Page: 1144-1153
Publish at: 2019-12-01

Solving optimal reactive power problem by improved variable mesh optimization algorithm

10.11591/ijaas.v8.i4.pp279-284
Kanagasabai Lenin
In this work Improved Variable Mesh Optimization Algorithm (IVM) has been applied to solve the optimal reactive power problem. Projected Improved VMO algorithm has been modeled by hybridization of Variable mesh optimization algorithm with Clearing-Based Niche Formation Technique, Differential Evolution (DE) algorithm. Mesh formation and exploration has been enhanced by the hybridization. Amongst of niche development process, clearing is a renowned method in which general denominator is the formation of steady subpopulations (niches) at all local optima (peaks) in the exploration space. In Differential Evolution (DE) population is formed by common sampling within the stipulated smallest amount and maximum bounds. Subsequently DE travel into the iteration process where the progressions like, mutation, crossover, and selection, are followed. Proposed Improved Variable Mesh Optimization Algorithm (IVM) has been tested in standard IEEE 14,300 bus test system and simulationresults show the projected algorithm reduced the real power loss extensively.
Volume: 8
Issue: 4
Page: 279-284
Publish at: 2019-12-01

Scientific literacy and science learning achievement at junior high school

10.11591/ijere.v8i4.20312
Jufrida Jufrida , Fibrika Rahmat Basuki , Wawan Kurniawan , Miko Danu Pangestu , Olva Fitaloka
Scientific literacy is the ability which must be owned by the students to analyze and apply the concept of science in solving daily life problem. This research aims to know the correlation between scientific literacy and science learning achievement at State Junior High Schools. This research used a quantitative approach with correlational type. The population of this research were 428 grade IX students at State Junior High Schools within the District of Jaluko Muaro Jambi. The samples was 138 students. The technique of selecting samples was random sampling. The instruments used were the test of science literacy and the test of science learning achievement. Hypothesis test was conducted by using rank spearman correlation test with the assistance of SPSS 21. The results show the average score of scientific literacy is 33.7 (medium category) and the average score of science learning achievement is 21.5 (very low category). The result of the correlation test obtains Sig value 0.00 then Ho is rejected. It can be concluded that there is a significant correlation between scientific literacy and science learning achievement at State Junior High School within Muaro Jambi District. Science learning is expected to develop students’ science literacy so that it can improve science learning achievement.
Volume: 8
Issue: 4
Page: 630-636
Publish at: 2019-12-01

Study on the performance indicators for smart grids: a comprehensive review

10.12928/telkomnika.v17i6.13285
Surender Reddy; Woosong University Salkuti
This paper presents a detailed review on performance indicators for smart grid (SG) such as voltage stability enhancement, reliability evaluation, vulnerability assessment, Supervisory Control and Data Acquisition (SCADA) and communication systems. Smart grids reliability assessment can be performed by analytically or by simulation. Analytical method utilizes the load point assessment techniques, whereas the simulation technique uses the Monte Carlo simulation (MCS) technique. The reliability index evaluations will consider the presence or absence of energy storage elements using the simulation technologies such as MCS, and the analytical methods such as systems average interruption frequency index (SAIFI), and other load point indices. This paper also presents the difference between SCADA and substation automation, and the fact that substation automation, though it uses the basic concepts of SCADA, is far more advanced in nature.
Volume: 17
Issue: 6
Page: 2912-2918
Publish at: 2019-12-01

Blind frequency offset estimator for OFDM systems

10.12928/telkomnika.v17i6.11957
Sakina; Badji Mokhtar-Annaba University BP 12 Atoui , Noureddine; Badji Mokhtar-Annaba University BP 12 Doghmane , Saddek; Badji Mokhtar-Annaba University BP 12, Afifi
Orthogonal Frequency Division Multiplexing (OFDM) is of great interest for the development of the fifth-generation technology. It is the cornerstone of Multiple-input multiple-output (MIMO) systems. Even though inter carrier interference (ICI) and inter symbol interference (ISI) have been processed for the fourth-generation standards, they still present a huge problem for the fifth-generation standards. This paper explores the tradeoff between the length of the cyclic prefix and the performances of the OFDM system. It also studies the effect of carrier frequency offset (CFO) on OFDM systems. A blind frequency offset estimator that uses the correlations between the remodulated sequence in the receiver side and the conventional received symbol is presented and a closed form solution is derived. The proposed estimator is derived under short interval when the correlation is high, so it has low computational complexity. Lin and Beek’s estimators are used for comparison. Simulations demonstrate the effectiveness of the proposed estimator under Rayleigh fading channel.
Volume: 17
Issue: 6
Page: 2722-2728
Publish at: 2019-12-01

Regenerating face images from multi-spectral palm images using multiple fusion methods

10.12928/telkomnika.v17i6.12857
Raid Rafi; Northern Technical University Al-Nima , Moatasem Yaseen; Northern Technical University Al-Ridha , Farqad Hamid; Northern Technical University Abdulraheem
This paper established a relationship between multi-spectral palm images and a face image based on multiple fusion methods. The first fusion method to be considered is a feature extraction between different multi-spectral palm images, where multi-spectral CASIA database was used. The second fusion method to be considered is a score fusion between two parts of an output face image. Our method suggests that both right and left hands are used, and that each hand aims to produce a significant part of a face image by using a Multi-Layer Perceptron (MLP) network. This will lead to the second fusion part to reconstruct the full-face image, in order to examine its appearance. This topology provided interesting results of Equal Error Rate (EER) equal to 1.99%.
Volume: 17
Issue: 6
Page: 3110-3119
Publish at: 2019-12-01

Optimal volt/var control of distribution system using MOPSO

10.11591/ijeecs.v16.i3.pp1088-1095
Ramesh Babu M , C. Venkatesh Kumar , R. Sreekanth
This paper presents a novel method for solving multi-objective Volt/Var control of radial distribution system. The Volt/Var control is formulated as a multi-objective optimization problem which consists of the following objectives: minimization of real power loss, minimization of total voltage deviation and minimization of number of OLTC’s and capacitor operation and voltage fluctuations for a day-a-head in Distribution system.The Proposed MOPSO Algorithm is used to find the optimal settings of control variables such as On-Load tap changer (OLTC) and Shunt Capacitor. The proposed MOPSO algorithm is tested on a standard IEEE33-bus and 69-bus distribution system.
Volume: 16
Issue: 3
Page: 1088-1095
Publish at: 2019-12-01

Ba[Mg2Al2N4]Eu2+ phosphor for enhancing the optical quality of the 6600K CPW-LEDs

10.12928/telkomnika.v17i6.13090
Van-Duc; Nguyen Tat Thanh University Phan , Duy-Hung; Ton Duc Thang University Ha , Minh; Ton Duc Thang University Tran , Tran Thanh; National Key Laboratory of Digital Control and System Engineerin Trang
Compared with conventional lamps, LED-based light sources have a superior lifetime, efficiency, and reliability, which promise significant reductions in power consumption and pollution from fossil fuel power plants. The main purpose of this paper is proposed and investigated the effect of the concentration of Ba[Mg2Al2N4]Eu2+conversion phosphor on the CCT deviation (D-CCT) and lumen output (LO) of the 6600 K conformal-packaging white LEDs (CPW-LEDs). For this purpose, we used the Light Tools and Mat Lab software to investigate this problem. From the research results, we can state that the concentration of the red phosphor crucially influenced on the optical quality of the 6600 K CPW-LEDs. The D-CCT can be decreased from 4700K to 2500K, and the LO can be increased from 600 lm. to 1200 lm. This research can provide the new recommendation for LEDs industry at this time.
Volume: 17
Issue: 6
Page: 2926-2930
Publish at: 2019-12-01

Robust optmized control of multi levels STATCOM

10.11591/ijeecs.v16.i3.pp1203-1212
Tedjini Hamza , Messaoud Fatima Zahra , Kadri Boufeldja
Reactive power compensation is an essential part of a power system and the static synchronous compensator (STATCOM) plays an important role in controlling the reactive power flow over the transmission line. The basic building block of the STATCOM is a voltage source inverter (VSI) that generates a synchronous sinusoidal voltage and because of the high MVA ratings, it would be expensive to provide independent, equal, regulated dc voltage sources to power the multilevel converters which are presently proposed for STATCOMs. Dc voltage sources can be derived from the dc link capacitances which are charged by the rectified ac power. In this paper a new stronger control combined of nonlinear control based Lyapunov’s theorem and Ant Colony Algorithm (ACA) to maintain stability of multilevel STATCOM and the utility.
Volume: 16
Issue: 3
Page: 1203-1212
Publish at: 2019-12-01

Optimal location and sizing of DG and D-STATCOM in distribution networks

10.11591/ijeecs.v16.i3.pp1107-1114
Surender Reddy Salkuti
The main aim of this paper is to determine optimal locations and sizing of Distributed Generations (DGs) and Distribution STATic COMpensator (D-STATCOM) in the distribution network for reducing the system losses and to improve the voltage profile. In this paper, the loss sensitivity factor approach is used to determine optimal location for DG and voltage stability index is used to determine optimal location for D-STATCOM. The objective of proposed optimization problem is to minimize the total real power losses in the system while satisfying several equality and inequality constraints. Artificial fish swarm optimization algorithm (AFSOA) is used to determine the optimal size of DG and D-STATCOM. The simulations are performed on standard 33 bus and 69 bus radial distribution systems and the obtained  results show the feasibility and effectiveness of proposed approach.
Volume: 16
Issue: 3
Page: 1107-1114
Publish at: 2019-12-01

Optimal operation management of grid-connected microgrids under uncertainty

10.11591/ijeecs.v16.i3.pp1163-1170
Surender Reddy Salkuti
This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.
Volume: 16
Issue: 3
Page: 1163-1170
Publish at: 2019-12-01

Progression approach for image denoising

10.12928/telkomnika.v17i6.12408
Bilal; Universiti Malaysia Perlis (UniMAP) Charmouti , Ahmad Kadri; Universiti Malaysia Perlis (UniMAP) Junoh , Mohd Yusoff; Universiti Malaysia Perlis (UniMAP) Mashor , Najah; Universiti Malaysia Perlis (UniMAP) Ghazali , Mahyun Ab; Universiti Malaysia Perlis (UniMAP) Wahab , Wan Zuki Azman; Universiti Malaysia Perlis (UniMAP) Wan Muhamad , Zainab; Universiti Malaysia Perlis (UniMAP) Yahya , Abdesselam; International Islamic University Malaysia Beroual
Removing noise from the image by retaining the details and features of this treated image remains a standing challenge for the researchers in this field. Therefore, this study is carried out to propose and implement a new denoising technique for removing impulse noise from the digital image, using a new way. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept ''arithmetic progression''. Through this paper, this concept is integrated into the image denoising, due to its ability in modelling the variation of pixels’ intensity in the image. The principle of the proposed denoising technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity.
Volume: 17
Issue: 6
Page: 2948-2958
Publish at: 2019-12-01

Automatic image slice marking propagation on segmentation of dental CBCT

10.12928/telkomnika.v17i6.13220
Agus Zainal; Institute Technology Sepuluh November Arifin , Evan; Institute Technology Sepuluh November Tanuwijaya , Baskoro; Institute Technology Sepuluh November Nugroho , Arif Mudi; Institute Technology Sepuluh November Priyatno , Rarasmaya; Institute Technology Sepuluh November Indraswari , Eha Renwi; Airlangga University, Surabaya, Indonesia Astuti , Dini Adni; Institute Technology Sepuluh November Navastara
Cone Beam Computed Tomography (CBCT) is a radiographic technique that has been commonly used to help doctors provide more detailed information for further examination. Teeth segmentation on CBCT image has many challenges such as low contrast, blurred teeth boundary and irregular contour of the teeth. In addition, because the CBCT produces a lot of slices, in which the neighboring slices have related information, the semi-automatic image segmentation method, that needs manual marking from the user, becomes exhaustive and inefficient. In this research, we propose an automatic image slice marking propagation on segmentation of dental CBCT. The segmentation result of the first slice will be propagated as the marker for the segmentation of the next slices. The experimental results show that the proposed method is successful in segmenting the teeth on CBCT images with the value of Misclassification Error (ME) and Relative Foreground Area Error (RAE) of 0.112 and 0.478, respectively.
Volume: 17
Issue: 6
Page: 3218-3225
Publish at: 2019-12-01
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