Articles
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Encryption and hiding text using DNA coding and hyperchaotic system
Zeena N. Al-Khateeb;
Melad Jader
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i2.pp766-774
In this paper, a secure data encryption using DNA sequence operation in a new and innovative direction different from the traditional direction, DNA coding uses the eight rules of DNA code based on a sequence of letter in text that provides the possibility of encrypting the same letter or word in more than one form in one text-based on sequence of this letter or word in the text. Then hiding technique implemented based on a hyperchaotic system. To increase the security of encryption text, we use the hyperchaotic system for obtaining the color image position that used to hide on it. The proposed steganography method hides a letter of the encrypted text in each pixel of the cover image, thus giving the possibility of hiding large text data. Some metrics have been applied to the proposed algorithm such as NPCR analyses, MSE, Correlation, and BER, The results of the simulation and security analysis showed that the new DNA coding is suitable for text encryption/decryption and that the super-chaotic map is suitable for hiding/extract the encrypted data, which indicates that the proposed encryption algorithm has a good encryption and hiding effect. Can resist brute statistical attack, force attack, differential.
A Kind of Discrete Variable Frequency Heavy-Load Soft Start System
Xiao Yi-ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science
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A kind of discrete variable frequency heavy-load soft start system was designed in order to realize heavy-load soft starting of motor. It consisted of variable reactance converter, discrete variable frequency converter and controller. The system structure was described in detail and the principle of discrete variable frequency heavy-load soft starting was analyzed. Also the model of the system was made and simulation of the system was done. The simulation results proved that the system can not only start motor smoothly, but also increase the motor start torque greatly, thus heavy load soft-starting of motor can be realized perfectly. In addition, the experiment of the system was done. The experiment results proved that the simulation was correct and the designed discrete variable frequency heavy-load soft start system can realize heavy-load soft start of motor. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4930
Circularly polarized rectangular dielectric resonator antenna excited by an off-set conformal metal strip
U. Illahi;
J. Iqbal;
M. I. Sulaiman;
M Alam;
M. S. Mazliham;
M. H. Jamaluddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp902-909
A rectangular dielectric resonator antenna (DRA) has been excited by an off-set single conformal metal strip. By using such excitation technique two degenerate resonant modes, TExδ11 and TEy1δ1 of the rectangular DRA have been excited to achieve circular polarization (CP). A CP bandwidth of ~ 5.2% in conjunction with a wide impedance matching bandwidth of ~ 54% has been provided by the proposed DRA configuration. The antenna design has been simulated using computer simulation technology (CST). Antenna prototype has been built to verify the impedance matching bandwidth. Far field parameters have been optimized and verified using two simulation techniques in CST i.e. finite integration technique (FIT) and finite element method (FEM). A good agreement between the simulated and measured result has been observed for S11. Similarly a very good resemblance between the far field results from FIT and FEM have been demonstrated.
Quality Enhancement of AC Chopper Using Genetic Algorithm
S. Mahendran;
Gnanambal I;
Maheswari A
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v16.i1.pp30-37
This paper mainly deals with the design of AC chopper using Genetic Algorithm based harmonic elimination technique. Genetic Algorithm is used to calculate optimum switching angles to eliminate lower order harmonics in the output voltage. Total Harmonic Distortion of output voltage is calculated from the obtained switching angles and also adopted in the proposed fitness function. Comparative analysis is made for the switching angles obtained by the Newton Raphson method and the proposed Genetic Algorithm. The analysis reveals that the proposed technique is on par with conventional method. Additionally, the Genetic Algorithm approach offers less computational burden, guaranteed global optima in most cases and faster convergence. The proposed method is simulated in Matlab/Simulink model and the results shows that the proposed method works with high effectiveness, accuracy and rapidity.
Simulated Annealing Algorithm for Friction Parameters Identification
Qiang Chen;
Junwei Bao;
Minzhuo Wang;
Haonan Ye;
Fuqiang Peng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science
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The present study is concerned with friction parameters identification in the pushing system of projectile of large caliber cannon howitzer. Coulomb model (CM) is adapted to build friction model in the process of pushing projectile. Random direction search algorithm (RDSA) is probably to get into the local best because of the large number of parameters to identify. So simulated annealing algorithm (SAA) based on continuous search space (CSAA) and based on discrete search space (DSAA) is applied to identify friction parameters. The identification results show that both CSAA and DSAA have better accuracy and convergence than RDSA, and CSAA has better accuracy than DSAA. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1893
Multi-Objective Optimization Algorithms Design based on Support Vector Regression Metamodeling
Qi Zhang;
Guangchun Yang;
Rui Tang;
Guoqi Xiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science
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In order to solve the multi-objective optimization problem in the complex engineering, in this paper a NSGA-II multi-objective optimization algorithms based on Support Vector Regression Metamodeling is presented. Appropriate design parameter samples are selected by experimental design theories, and the response samples are obtained from the experiments or numerical simulations, used the SVM method to establish the metamodels of the objective performance functions and constraints, and reconstructed the original optimal problem. The reconstructed metamodels was solved by NSGA-II algorithm and took the structure optimization of the microwave power divider as an example to illustrate the proposed methodology and solve themulti-objective optimization problem. The results show that this methodology is feasible and highly effective, and thus it can be used in the optimum design of engineering fields. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2628
Identification of plasmodium falciparum and plasmodium vivax on digital image of thin blood films gf
Hanung Adi Nugroho;
Made Satria Wibawa;
Noor Akhmad Setiawan;
E. Elsa Herdiana Murhandarwati;
Ratna Lestari Budiani Buana
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v13.i3.pp933-944
Observing presence of Plasmodium parasite of stained thick or thin blood films through microscopic examination is a gold standard for malaria diagnosis. Although the microscopic examination has been extensively used, misidentification might occur caused by human factors. In order to overcome misidentification problem, several studies have been conducted to develop a computer-aided malaria diagnosis (CADx) to assist paramedics in decision-making. This study proposes an approach to identify species and stage of Plasmodium falciparum and Plasmodium vivax on thin blood films collected from the Laboratory of Parasitology, Faculty of Medicine, Universitas Gadjah Mada. Adaptive k-means clustering is applied to segment Plasmodium parasites. A total of 39 features consisting of shape and texture features are extracted and then selected by using wrapper-based forward and backward directions. Classification is evaluated in two schemes. The first scheme is to classify the species of parasite into two classes. The second scheme is to classify the species and stage of parasite into six classes. Three classifiers applied are k-nearest neighbour (KNN), support vector machine (SVM) and multi-layer perceptron (MLP). Furthermore, to facilitate the multiclass classification, one-versus-one (OVO) and one-versus-all (OVA) methods are implemented. The first scheme achieves the accuracy of 88.70% based on MLP classifier using three selected features. While the accuracy gained by the second scheme is 95.16% based on OVO and MLP classifier using 29 selected features. These results indicate that the proposed approach successfully identifies the species and stage of parasite on thin blood films and has potential to be implemented in the CADx system for assisting paramedics in diagnosing malaria.
Diminishing Connectivity Failures by Auto-Reconfiguration in WSN
K. Gugan;
V. Saravanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v8.i3.pp662-666
The Wireless Sensor Network is one of the most significant purposes behind the accomplishment of long range wireless communication. Frequent connectivity failures are occurred in the sensor-organised network due to obstruction, snags, message drop because of node energy depletion; obstacle and so forth. The total communication gets collapsed if there any lessening in the nature of correspondence or quality between the sensor nodes or from the sensor nodes to the sink nodes and this prompts to connection failures. To overcome the frequent connectivity failures we propose Diminishing Connectivity Failures by Auto-Reconfiguration in WSN (DCFA). This scheme provides steadfast routes to reduce the connectivity failure and improve the network performance.
Study of PLTMH development planning in sasnek village sawiat district, South Sorong Regency West Papua Province
Markus Dwiyanto Tobi;
Vina N Van Harling
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v18.i2.pp678-687
Electricity is needed by the whole society. Sasnek village is one of the villages located in Sawiat District, South Sorong Regency, West Papua Province. Sasnek village is very clear and inhabited around 100KK. This village has not been served by electricity until now. Micro-hydro power plants are small-scale power plants whose capacity presents between 100 W to 100 kW. This study will be used for loading stages with a 12 Volt DC power capacity, because it is one of the most efficient, young and safe ways. Measurement of air discharge, discharged by 2 liters / second from a measurement area of 5 m2 and an average air speed of 00.65 m / d. However, due to the condition of the river water flowing throughout the year in the sense of never dried, then used a correction factor of 0.75. Thus the flow that can be used is equal to 0.65 m3 / d. Based on the analysis of the potential contained in Sasnek PLTMH, it can be calculated Distribution Grid sourced from Sasnek PLTMH is 10 KW.With the careful planning so that the results of its implementation will give a positive impact to be meeting the needs of electricity in the village and surrounding villages sasnek.
Design of Temperature Measurement and Data Acquisition System based on Virtual Instrument LabVIEW
Xingju Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i8.pp6027-6035
The LabVIEW virtual instrument consists of three parts: data acquisition, data test and analysis, output display. System control part is realized on the LabVIEW platform, data collection, data processing, and data recording, alarm and historical data readback function. The system uses DSl8B20 to measure temperature. The paper present design of temperature measurement and data acquisition system based on virtual instrument LabVIEW. Finally, this paper realizes the temperature acquisition and detection system, which is a new type of intelligent. System hardware circuit design is using digital temperature sensor DS18B20, and experiments show that the proposed method has a good effect.