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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
 31   32   33   34   35 
A Novel Approach for Tumor Detection in Mammography Images Elahe Chaghari; Abbas Karimi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6211-6216

Abstract

Breast cancer is one of the major causes of death among women in recent decades. Screening mammography is currently the best available radiological technique for early detection of breast cancer. In recent years, several methods have been used for automated tumor detection in mammography images. In some methods, due to a variety of processing and multiple operations on images, there are many computational complexities and much time overhead. In other methods the recognition accuracy is relatively low. In this paper, a new method to detect cancerous lesions in mammography images is presented using cellular learning automata algorithm. Cellular learning automata algorithm is well suited for image processing, because it is cellular and belongs pixels like an image. Distributed performance and parallel processing properties of this method has optimal results in image processing. Experimental results show the effectiveness of the proposed method.
The Modular Design of Turn-milling CNC for Special Stones Yuhou Wu; Dehong Zhao; Xuan Mu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Stone products' processing technologies, processes and types have essential differences with metal's, which makes the traditional machine design method can not perform well in the design of processing equipment for special shaped stones. A new design method was used in this paper, which through the establishment of stone typical products and tool mathematical model. The needs of the motion axes was solved by kinematics equations application and the feasible design scheme of the machine tool's function was established. Thus, a new turn-milling combined NC machine tools, which have 8 movement axis and Double 5 axis linkage processing function is designed. Its modular structure design can meet the needs of the most stone material processing.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2560
The Scheme and the Preliminary Test of Object-Oriented Simultaneous 3D Geometric and Physical Change Detection Using GIS-guided Knowledge Chang LI; Wenzhong SHI; Fangfang LI
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Current methods of remotely sensed image change detection almost assume that the DEM of the surface objects do not change. However, for the geological disasters areas (such as: landslides, mudslides and avalanches, etc.), this assumption does not hold. And the traditional approach is being challenged. Thus, a new theory for change detection needs to be extended from two-dimensional (2D) to three-dimensional (3D) urgently. This paper aims to present an innovative scheme for change detection method, object-oriented simultaneous three-dimensional geometric and physical change detection (OOS3DGPCD) using GIS-guided knowledge. This aim will be reached by realizing the following specific objectives: a) to develop a set of automatic multi-feature matching and registration methods; b) to propose an approach for simultaneous detecting 3D geometric and physical attributes changes based on the object-oriented strategy; c) to develop a quality control method for OOS3DGPCD; d) to implement the newly proposed OOS3DGPCD method by designing algorithms and developing a prototype system. For aerial remotely sensed images of YingXiu, Wenchuan, preliminary experimental results of 3D change detection are shown so as to verify our approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3659
Black Phosphorus Saturable Absorber for Pulse Generation Using Q-switched Teachnique Belal Ahmed Hamida; L A Hussein; Sheroz Khan; Mohamed Hadi Habaebi; Ahmad Anwar Zainuddin; T Eltaif; S W Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp36-40

Abstract

This paper reported a passive Q-switched erbium doped fiber laser (EDFL) using two-dimensional (2D) material of black phosphorus saturable absorber (BP-SA). The maximum output power reached is 3.54 mW, which is generated by pump power of 42.327 mW. The results show that a stable pulse was generated with repetition rate starts at about 9.606 kHz and ends at about 44.72 kHz and very narrow pulse width between 40.01 µs and 9.84 µs and pulse energy 80 nJ. Clearly, the stability of the Q-switched pulse train was achieved because the BP-SA film was inserted in the laser ring cavity.
Analysis of Unbalance Harmonic Propagation in a Three-phase Power System Syukri Yunus; Khalid Mohamed Nor
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Operation is non-linear in a state of unbalance can cause problems harmonics in the power system. There are two parts over the use of computational time in harmonic load flow, the first in the construction of harmonic admittance matrix and the second is the iteration scheme for solving systems of linear equations. Mechanical completion of the harmonic admittance to the problem can be expressed in this paper, was developed as a harmonic admittance parallel applications, and a direct algorithm to calculate the admittance matrix elements are presented. Here, we show three phase power flow program is broken down into three independent sub problems, namely: network sequence of positive, negative, and zero. Positive sequence network will be solved by using the method of Fast decouple without modifying their formulation. Negative and zero sequence networks solved using nodal voltage equation. All three networks have been modeled by a sequence of three independent circuits and solved simultaneously using multi-core processors in parallel programming. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i3.7093 
Bidirectional Battery Charger for PV Using Interleaved Fourport DC-DC Converter A. Elamathy; G. Vijayagowri; V. Nivetha
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a four-port bidirectional dc-dc converter is proposed for grid-interactive photovoltaic (PV) system application. The four-phase topology is suitable for residential pumping, aerospace power requirements. The control of battery and different capacities of PV modules are naturally decoupled. In addition, the port interface with PV is current type which can implement maximum power point tracking (MPPT) and soft switching under wide variation of PV terminal voltage. Finally, simulation results are proposed to verify the power control in different operation modes. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7894 
Fast Intra Prediction Mode Decision Algorithm for HEVC Mengmeng Zhang; Jianfeng Qu; Huihui Bai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a histogram is applied in the scheme to generate the statistics of prediction modes for each prediction unit. Finally, the prediction mode candidates are placed in the candidate list for the rate-distortion optimization process. Experimental results show that our proposed algorithm for RMD significantly reduces the complexity of the encoder with an acceptable degradation of quality and BD-rate compared with HM7.0. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3396
Electrical energy production from plant biomass: an analysis model development for Pandanus Amaryllifolius plant microbial fuel cell Teng Howe Cheng; Kok Boon Ching; Chessda Uttraphan; Yee Mei Heong
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1163-1171

Abstract

Plant microbial fuel cell (P-MFC) is an electrochemical reactor that converts organic compounds to electrical energy through the catalytic reaction from electrochemically active bacteria (EAB). However, there is no sign of an attempt in developing the functional model in predicting the energy conversion and utilization of P-MFC. In this study, an analytic model is proposed to show the whole production process of the organic compound to electrical energy generation. Pandanus Amaryllifolius plant was used as sources of photosynthate, where biomass product from rhizodeposition, acetate was produced, and soil bacteria as the microbial culture, and air as the input to the cathode chamber. The proposed analytical model is able to predict the output of the P-MFC using the parameters from the experiment. The generated data from the model was then compared with the monitored data from the Pandanus Amaryllifolius P-MFC. The results show the electrical power output has a high similarity pattern with the bacterial growth curve model and able to achieve the coulombic efficiency of 95.32%.
The Power Load Prediction Based on Improved Genetic Neural Network Dong Dai; Lin-Chao Ma
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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Abstract

There exist nonlinear and high redundancy between the power load factors, and the traditional methods in neural network can not eliminate the redundancy in the prediction data and capture the nonlinear characteristics, resulting in lower prediction precision of the power load. In order to improve the prediction precision of the power load, a power load prediction method based on improved genetic algorithm optimization neural network (IGA-BP) is put forward. First, the power load is reconstructed using the correlation function, and then performed the normalization processing. Secondly, the power load training sample is input into the BP neural network for learning, and then the initial connection weights and thresholds of the BP neural network are selected using the improved genetic algorithm. Finally, the power load prediction model is established. Simulation results show that the improved neural network can reflect the trend of complex non-linear power load, achieve higher power load fitting and prediction precision, and is an effective load prediction method for power system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4302
Segmentation Lung Fields in Thoracic CT Scans using Manifold Method Jun Lai; Mei Xie
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

When the pathologies are in the close vicinity of the lung wall, the acquisition of the pulmonary nodules depends on accurate segmentation of the lung fields. However, the traditional methods based on pixels intensity can not segment out them correctly. The paper proposes an effective segmentation method based on primary component analysis(PCA) manifold. It used the lung fields relationship in a lung to construct the shape manifold with B-spline interpolation. In the manifold space, according to the position of the affected lung field, a measurement had been used to find an amended position, and it was projected back into the shape space to reconstruct the prior shape. The shape was registered with the affected one and then segmented the original lung section to obtain the correct lung field. The experiment results illustrate that the proposed method has a more correct segmentation ability than the methods based on rolling-ball and pixel intensity. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1266 

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