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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 9,226 Documents
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Anti-interference Tracking Methods of Maneuvering Target for Structure Random Jump Systems Jianfeng Wu; Shucai Huang; Xiaoyan Wu; Yu Zhong; Hongxia Kang; Chengjing Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5305-5315

Abstract

In this article, a study of anti-interference tracking method of maneuvering target for nonlinear structure random jump systems (SRJSs) with random interference was investigated. Inview of the random interference problem of the tracking system, the nonlinear Gaussian approximation filtering (NGAF) was applied to achieve anti-interference tracking of maneuvering target in observation noises environment with the pip interference signal. Inview of the defects of the NGAF algorithm, bootstrap filtering (BSF) algorithm of SRJSs was applied to avoid the loss of information caused by neglecting the higher-order terms. A meaningful example of radar/IR dual-mode compound seeker is presented to illustrate the effectiveness of the authors’methods, the performances of extended Kalman filtering (EKF), NGAF and BSF in terms of stability, accuracy and computational complexity were compared. The purpose of this paper was to demonstrate the effectiveness of applying the NGAF and BSF on anti-interference target tracking problems of SRJSs, which in the past the factors of randomness and structure uncertainties characteristics had been rarely considered for the studies of maneuvering target tracking, mostly the structures and the parameters of the tracking system were invariant and certainty, and had typically been solved by Kalman or extended Kalman filters.
Internal and External e-Customs Services IOS Application Case Study: Kuwait Customs Department Soha Aljaber; Nayfah Mohsen Almutairi; Abdulrahman Alkandari
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp400-408

Abstract

Government regulations usually characterized by the many stages of completion of any transaction and that causing a delay in the work and that wasting a lot of time. Especially with the particular customs system which consists of several points of entry, including land, sea, and air. In addition, the General Customs Department is one of the sensitive circuits in the state. Therefore, to continue the process any shipment or any transaction relating to customs, it requires a long time. This paper presented a design for an application that running on smartphones with IOS system. This application provides internal services and external services for the General Customs Department to ease the completion of any transaction either for the customs’ employee or the citizens. The employee uses the internal services section, and the external services section is used by the citizens. As a result of this application, it provides time and effort for the citizens and customs and decreasing the number of customs’ reviewers.
Diagnosing of some hepatic lesions from light microscope images based on morphological and texture features Zamen Fadhel Jabr; Mohammed abd Alabbas Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp995-1003

Abstract

One of the common problems observed in medicines is hepatotoxicity as liver play mainly role in metabolizes the herbal medicines. Although, the acceptance of herbal medicines is growing nowadays still there is an absence of knowledge about their toxicological properties and the right use being a hepatotoxic.This paper presents method to detect and diagnoses liver lesions in four types: necrotic cells, fatty degenerative cells, hepatocellular hypertrophic cells and congested cells using image processing techniques. The method is proposed to perform two tasks the first is conclude whether the liver image is normal or abnormal the second if abnormal state is detected then diagnosis lesions type must performs. The method progresses in many steps are preprocessing, features extraction, classification and lesion diagnosing. Grey level co-occurrence Matrix (GLCM) technique is utilize to concentrate features to distinguish between normal and abnormal case using neural network classifier if abnormal state is detected the method feedback with colour image to analyse cells shape and image intensity colour to determine which type of diseases founded in image based on statistical and morphological features of cells. The method tested on 107 images it is got on the accuracy 100% in classification and 95% in diagnosing.
Weighted Samples Based Background Modeling for the Task of Motion Detection in Video Sequences Boubekeur Mohamed Bachir; Benlefki Tarek; Luo SenLin; Labidi Hocine
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7778-7784

Abstract

In this paper,a non parametric method for background subtraction and moving object detection based on adaptive threshold using successive squared differences and including frame differencing process is proposed. the presented scheme focused on the case of adaptive threshold and dependent distance calculation using a weighted estimation procedure. In contrast with the existing update procedures (Firstin First-out, random pickup), We proposed an intuitive update policy to the background model based onassociated decreasing weights. The presented algorithm succeeds on extracting the moving foreground with efficiency and overpasses the problematic of ghost situations. The proposed framework provides robustness to noise. Experiments show competitive results compared to existing approaches and demonstrate the applicability of the proposed scheme in a variety of video surveillance scenarios.
A Novel Membrane Clustering Algorithm Based on Tissue-like P System Yan Huaning; Xiang Laisheng; Liu Xiyu; Xue Jie
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp409-416

Abstract

Clustering is a process of partitioning data points into different clusters due to their similarity, as a powerful technique of data mining, clustering is widely used in many fields. Membrane computing is a computing model abstracting from the biological area, these computing systems are proved to be so powerful that they are equivalent with Turing machines. In this paper, a modified inversion particle swarm optimization was proposed, this method and the mutational mechanism of genetics algorithm were used to combine with the tissue-like P system, through these evolutionary algorithms and the P system, the idea of a novel membrane clustering algorithm could come true. Experiments were tested on six data sets, by comparing the clustering quality with the GA-K-means, PSO-K-means and K-means proved the superiority of our method.
LQG Control of Unmanned Aerial Vehicles Under Communication Constraints Yan-Mei Wang; Qing-Quan Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper addresses the LQG control problem for unmanned aerial vehicles (UAV) with time delays. In particular, the case with data-rate limitations is considered. It is shown in our results that the data rate of the communication channel has important effects on the control performances. It is derived that there exists a tradeoff between the data rate and the LQG cost.  A quantization, coding, and control scheme is proposed to stabilize the unstable plant. Simulation results show the validity of the proposed scheme. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2426
On the Data Mining Technology Applied to Active Marketing Model of International Luxury Marketing Strategy in China— An Empirical Analysis Qishen Zhou; Shanhui Wang; Zuowei Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 This paper emphasizes the importance of active marketing in the customer relationship management. Especially, the data mining technology is applied to establish an active marketing model to empirically analyze the condition of the AH Jewelry Company. Michael Porter's Five Forces Model is employed to assess and calculate the similarity in the active marketing model. Then, the questionnaire analysis on the customer relationship management model is carried out to explain the target market and target customer groups of AH Jewelry Company. The cluster analysis and principal component analysis (PCA) are applied as data mining tool to investigate factors and problems that influence marketing effect of the AH Jewelry Company. The analysis results show that it becomes a key problem to enhance the customer loyalty and retain the customers under the changeable consumption environment. Data mining technology can help to analyze the historical data to produce the clients set which is most closed to the customer behaviors, and regards the most interesting information as the recommendation to the customers. Hence, marketing optimization strategy could be proposed as reference to manage the luxury marketing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4384
Concealment of Files Blocked by Gmail with EOF-Based Image Steganography Ichsan Taufik; Undang Syaripudin; Faiz M. Kaffah; Jaka Giri Sobirin; Nanang Ismail; Teddy Surya Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp716-721

Abstract

Nowadays, due to security concern, not all the process of sending files via email runs smoothly. There are several types of file extensions that are blocked when sent via email. For examples, there are several file extensions blocked by Gmail. This paper discusses steganographic implementation using End of File (EOF) algorithm to insert special file into image cover file with JPG and PNG format so that files with these extensions can be sent via email. Before a special extension file is inserted into the cover file, a compression process should be conducted first to make the file size smaller. The proposed algorithm is implemented on Visual Basic.Net software. Based on the tests performed, the application can insert Gmail-blocked file system to the image cover file, without changing the physical bit of the image cover file or file system that inserted with 100% success rate. The stego-image file is also successfully sent via email without being blocked.
AQM Algorithm with Adaptive Reference Queue Threshold for Communication Networks Zhenyu Na; Bao Peng; Liming Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Nowadays, congestion in communication networks has been more intractable than ever before due to the explosive growth of network scale and multimedia traffic. Active queue management (AQM) algorithms had been proposed to alleviate congestion to improve quality of service (QoS), but existing algorithms often suffer from some flaws in one aspect or another. In this paper, a novel AQM algorithm with adaptive reference queue threshold (ARTAQM) is proposed of which the main innovative contributions are recounted as follows. First, traffic is predicted to calculate the packet loss ratio (PLR) and the traffic rate based on traffic prediction algorithm. Second, by means of periodical measurements, a weighted PLR is obtained to dynamically adjust packet dropping probability in ARTAQM algorithm. Third, ARTAQM algorithm runs in both coarse and fine granularities. In coarse granularity, the mismatch of the predicted traffic rate and link capacity can adjusts the reference queue length in every period, while in fine granularity, reference queue remains fixed and the  instantaneous queue is adjusted packet by packet in one period. Simulation results indicate that ARTAQM algorithm not only maintains stable queue and fast response speed, but has lower PLR and higher link utilization as well. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1274 
An Electromagnetic Moment in Short Circuits in Electrical Rotating Machines with High-Coercivity Permanent Magnets Flyur Ismagilov; Irek Khayrullin; Vyacheslav Vavilov; Valentina Ayguzina
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp483-491

Abstract

This paper presents a computer model of an electrical rotating machine with high-coercivity permanent magnets and research of various short-circuit types in the electrical rotating machine with high-coercivity permanent magnets, including turn-to-turn short circuit. Diagnostic criteria of short circuits are revealed. There are the electromagnetic moment and the magnetic flux density in the stator core back. With comparison the experiment and computer modeling results, it was found that the created computer model is highly accurate and completely repeats the experiment results. The numerical discrepancy between the experimental data and the simulation data is below 5%. The obtained results can be used in practice in the design of the electrical rotating machine with high-coercivity permanent magnets.

Page 296 of 923 | Total Record : 9226

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