Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

27,860 Article Results

Performance of Modified S-Transform for Power Quality Disturbance Detection and Classification

10.12928/telkomnika.v15i4.7230
Faridah; Universiti Tun Hussien Onn Malaysia Hanim M. Noh , Munirah; Universiti Tun Hussien Onn Malaysia Ab. Rahman , M.; Universiti Teknikal Malaysia Melaka Faizal Yaakub
Detection and classification of power quality (PQ) disturbances are an important consideration to electrical utility companies and many industrial customers so that diagnosis and mitigation of such disturbance can be implemented quickly. Power quality signal consists of stationary and non-stationary events which need a robust signal processing technique to analyse the signals. In this paper, Modified STransform (MST) was used to analyse single and multiple power quality signals. MST is a modified version of S-transform with improved time-frequency resolution. The power quality signals that are considered in this study are voltage swell, sag, interruption, harmonic, interharmonic, transient, sag plus harmonic and swell plus harmonics. The performance of the proposed method has been studied under noisy and unnoisy condition. Hard thresholding technique has been applied with MST while analysing noisy PQ signals. The result shows that MST is able to give higher classification rate with better time and frequency distribution (TFD) spectrum of the PQ disturbances. 
Volume: 15
Issue: 4
Page: 1520-1529
Publish at: 2017-12-01

Handheld Secured Electronic Doorstep Banking System that allows Cash Withdrawal and Deposit Facility for Remote and Rural Areas

10.11591/ijeecs.v8.i3.pp705-708
G. Kannan
The bank's similar massive customer base isn't inside the urban level notwithstanding, inside the repeatedly pretermitted rustic territories. Light errands like getting without end to the ATM and withdrawing trade cause people out towns lose their working hours and, thus, miss a major live of their monetary profit moreover. In this paper a secured handheld doorstep managing an account industry alluded to as Micro-bank machine is proposed to concede administration to the buyers in provincial ranges and remote places, for example, towns. The arranging may likewise be worked inside and on the most distant side of the consistent managing an account hours. The primary point of the handheld machine is to control managing an account administration like cash withdrawals and cash store while not the individual always pointing to a bank even in remote territories wherever even a GSM cell affiliation isn't conceivable.
Volume: 8
Issue: 3
Page: 705-708
Publish at: 2017-12-01

An Image Enhancement Approach to Achieve High Speed Using Adaptive Modified Bilateral Filter for Satellite Images Using FPGA

10.12928/telkomnika.v15i4.3457
Sendamarai; Nagarjuna college of engineering and technology, India Panchacharam , Giriprasad; Jawaharlal Nehru technological university, India M.N
For real time application scenarios of image processing, satellite imaginary has grown more interest by researches due to the informative nature of image. Satellite images are captured using high quality cameras. These images are captured from space using on-board cameras. Wrong ISO setting, camera vibrations or wrong sensory setting causes noise. The degraded image can cause less efficient results during visual perception which is a challenging issue for researchers. Another reason is that noise corrupts the image during acquisition, transmission, interference or dust particles on the scanner screen of image from satellite to the earth stations. If quality degraded images are used for further processing then it may result in wrong information extraction. In order to cater this issue, image filtering or denoising approach is required. Since remote sensing images are captured from space using on-board camera which requires high speed operating device which can provide better reconstruction quality by utilizing lesser power consumption. Recently various approaches have been proposed for image filtering. Key challenges with these approaches are reconstruction quality, operating speed, image quality by preserving information at edges on image. Proposed approach is named as modified bilateral filter. In this approach bilateral filter and kernel schemes are combined. In order to overcome the drawbacks, modified bilateral filtering by using FPGA to perform the parallelism process for denoising is implemented.
Volume: 15
Issue: 4
Page: 1766-1775
Publish at: 2017-12-01

An Optimal LFC in Two-Area Power Systems Using a Meta-heuristic Optimization Algorithm

10.11591/ijece.v7i6.pp3217-3225
Mushtaq Najeeb , Muhamad Mansor , Hameed Feyad , Esam Taha , Ghassan Abdullah
In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.
Volume: 7
Issue: 6
Page: 3217-3225
Publish at: 2017-12-01

Modelling and Stability Analysis of Brushless Doubly Fed Generators

10.12928/telkomnika.v15i4.6266
Abderahmane; Université of Skikda, Algeria Ganouche , Hacene; Université of Skikda, Algeria Bouzekri , Antar; Université of Skikda, Algeria Beddar
The brushless doubly-fed machine (BDFM) continues to attract increasing interest for applications in wind generation where, robustness and low servicing costs are its principles advantages. The construction aspect of the BDFM has been widely studied and currently this machine can be build with good performances. However, the control aspect remains difficult to achieve and some studies show that the BDFM is less stable than the doubly-fed induction machine. To explore the BDFM stability in all operating mode, this paper proposes a stability analysis of a grid-connected variable speed wind turbine-based BDFM. For this purpose, a linearized small signals mathematical model is proposed which takes into account both grid and control disturbances. Then, the effect of electrical parameters variation and operating speed change on the stability of the BDFM has been studied. The stability has been investigated through simulation implementation. The obtained results demonstrate the validity and the superiority of the proposed model.
Volume: 15
Issue: 4
Page: 1741-1749
Publish at: 2017-12-01

How to Calculate the Public Psychological Pressure in the Social Networks

10.12928/telkomnika.v15i4.6832
Rui; Harbin Institute of Technology, China Jin , Hong-Li; Harbin Institute of Technology, China Zhang , Xing; Harbin Institute of Technology, China Wang , Xiao-Meng; Harbin Institute of Technology, China Wang
With the worldwide application of social networks, new mathematical approaches have been developed that quantitatively address this online trend, including the concept of social computing. The analysis of data generated by social networks has become a new field of research; social conflicts on social networks occur frequently on the internet, and data regarding social behavior on social networks must be analyzed objectively. This type of social computing method can solve a series of complex social computing problems including the calculation of public psychological pressure. The quantitative calculation of public psychological pressure is so important to the public opinion analysis that it can be widely applied in a lot of public information analysis fields.
Volume: 15
Issue: 4
Page: 1808-1816
Publish at: 2017-12-01

Improved Face Recognition Across Poses using Fusion of Probabilistic Latent Variable Models

10.12928/telkomnika.v15i4.5731
Moh Edi; Universitas Gadjah Mada, Indonesia Wibowo , Dian; Queensland University of Technology, Australia Tjondronegoro , Vinod; Queensland University of Technology, Australia Chandran , Reza; Universitas Gadjah Mada, Indonesia Pulungan , Jazi Eko; Universitas Gadjah Mada, Indonesia Istiyanto
Uncontrolled environments have often required face recognition systems to identify faces appearing in poses that are different from those of the enrolled samples. To address this problem, probabilistic latent variable models have been used to perform face recognition across poses. Although these models have demonstrated outstanding performance, it is not clear whether richer parameters always lead to performance improvement. This work investigates this issue by comparing performance of three probabilistic latent variable models, namely PLDA, TFA, and TPLDA, as well as the fusion of these classifiers on collections of video data. Experiments on the VidTIMIT+UMIST and the FERET datasets have shown that fusion of multiple classifiers improves face recognition across poses, given that the individual classifiers have similar performance. This proves that different probabilistic latent variable models learn statistical properties of the data that are complementary (not redundant). Furthermore, fusion across multiple images has also been shown to produce better perfomance than recogition using single still image.
Volume: 15
Issue: 4
Page: 1971-1981
Publish at: 2017-12-01

Contradictory of the Laplacian Smoothing Transform and Linear Discriminant Analysis Modeling to Extract the Face Image Features

10.12928/telkomnika.v15i4.6576
Arif; University of Trunojoyo, Indonesia Muntasa , Indah Agustien; University of Trunojoyo, Indonesia Siradjuddin
Laplacian smoothing transform uses the negative diagonal element to generate the new space. The negative diagonal elements will deliver the negative new spaces. The negative new spaces will cause decreasing of the dominant characteristics. Laplacian smoothing transform usually singular matrix, such that the matrix cannot be solved to obtain the ordered-eigenvalues and corresponding eigenvectors. In this research, we propose a modeling to generate the positive diagonal elements to obtain the positive new spaces. The secondly, we propose approach to overcome singularity matrix to found eigenvalues and eigenvectors. Firstly, the method is started to calculate contradictory of the laplacian smoothing matrix. Secondly, we calculate the new space modeling on the contradictory of the laplacian smoothing. Moreover, we calculate eigenvectors of the discriminant analysis. Fourth, we calculate the new space modeling on the discriminant analysis, select and merge features. The proposed method has been tested by using four databases, i.e. ORL, YALE, UoB, and local database (CAI-UTM). Overall, the results indicate that the proposed method can overcome two problems and deliver higher accuracy than similar methods. 
Volume: 15
Issue: 4
Page: 1794-1807
Publish at: 2017-12-01

Quality of Experience (QOE) Aware Video Attributes Determination for Mobile Streaming Using Hybrid Profiling

10.11591/ijeecs.v8.i3.pp597-609
Muhamad Hanif Jofri , Mohd Farhan Md Fudzee , Mohd Norasri Ismail , SHAHREEN KASIM , Jemal Abawajy
Today, consumers use a smartphone device to display the media contents for work and entertainment purposes, as well as watching online video. Online video streaming is the main cause that consume smartphone’s energy quickly. To overcome this problem, smartphone’s energy management is crucial. Thus, a hybrid energy-aware profiler is proposed. Basically, a profiler will monitor and manage the energy consumption in the smartphone devices. The hybrid energy-aware profiler will set up a protocol preference of both the user and the device. Then, it will estimates the energy consumption in smartphone. However, saving energy alone can contribute to the Quality of Experience (QoE) neglection, thus the proposed solution takes into account the client QoE. Even though there are several existing energy-aware profilers that have been developed to manage energy use in smartphones however, most energy-aware profilers does not consider QoE at the same time. The proposed solution consider both, the performance of the hybrid energy-aware profiler is compared with the baseline energy models against a variation of content adaptation according to the pre-defined variables. Three types of variables were determined; resolution, frame rate and energy consumption in smartphone devices. In this area, QoE subjective methods based on MOS (Mean Opinion Score) are the most commonly used approaches for defining and quantifying real video quality. Nevertheless, although these approaches have been established to consistently quantify users’ amounts of approval, they do not adequately realize which are the criteria of video attribute that important. In this paper, we conducted an experiment with a certain devices to measures user’s QoE and energy usage of video attribute in smartphone devices. Our results demonstrate that the list of possible solution is a relevant and useful video attribute that satify the users.
Volume: 8
Issue: 3
Page: 597-609
Publish at: 2017-12-01

Automatic Data Interpretation in Accounting Information Systems Based On Ontology

10.12928/telkomnika.v15i4.6414
Irvan; Institut Teknologi Bandung, Indonesia Iswandi , Iping Supriana; Institut Teknologi Bandung, Indonesia Suwardi , Nur Ulfa; Institut Teknologi Bandung, Indonesia Maulidevi
Financial transactions recorded into accounting journals based on the evidence of the transaction. There are several kinds of evidence of transactions, such as invoices, receipts, notes, memos and others.  Invoice as one of transaction receipt has many forms that it contains a variety of information.  The information contained in the invoice identified based on rules.  Identifiable information includes: invoice date, supplier name, invoice number, product ID, product name, quantity of product and total price.  In this paper, we proposed accounting ontology and Indonesian accounting dictionary. It can be used in intelligence accounting systems. Accounting ontology provides an overview of account mapping within an organization. The accounting dictionary helps in determining the account names used in accounting journals.  Accounting journal created automatically based on accounting evidence identification.  We have done a simulation of the 160 Indonesian accounting evidences, with the result of precision 86.67%, recall 92.86% and f-measure 89.67%.
Volume: 15
Issue: 4
Page: 1817-1829
Publish at: 2017-12-01

Artificial Neural Network Based Target Recognition for Marine Search

10.11591/ijeecs.v8.i3.pp616-618
Capt. V. Ramachandran
The key point of marine search and rescue is to find out and recognize the distress objects. At present, the visual search method is usually adopted to detect the ships in distress, and this method can only be used at good sea condition and visibility. In this paper, a new target detection and recognition system is proposed. The parameters of radar transmitter and echo graphics and the invariant moments of radar images are extracted as the system’s recognition features, and the system’s target classifier is based on Artificial Neural Networks (ANN). The developed recognition classifier has been tested using three kinds of target Images, the target’s features are used as the inputs of trained ANN and the outputs of networks are target classification. Sea experimental results show that the proposed method is well-clustering and with high classified accuracy.
Volume: 8
Issue: 3
Page: 616-618
Publish at: 2017-12-01

Intelligent Bridge Seismic Monitoring System Based on Neuro Genetic Hybrid

10.12928/telkomnika.v15i4.6006
Reni; Universitas Riau, Indonesia Suryanita , Mardiyono; Politeknik Negeri Semarang, Indonesia Mardiyono , Azlan; Universiti Teknologi Malaysia, Malaysia Adnan
The natural disaster and design mistake can damage the bridge structure. The damage caused a severe safety problem to human. The study aims to develop the intelligent system for bridge health monitoring due to earthquake load. The Genetic Algorithm method in Neuro-Genetic hybrid has applied to optimize the acceptable Neural Network weight. The acceleration, displacement and time history of the bridge structural responses are used as the input, while the output is the damage level of the bridge. The system displays the alert warning of decks based on result prediction of Neural Network analysis. The best-predicted rate for the training, testing and validation process is 0.986, 0.99, and 0.975 respectively. The result shows the damage level prediction is agreeable to the damage actual values. Therefore, this method in the bridge monitoring system can help the bridge authorities to predict the health condition of the bridge rapidly at any given time. 
Volume: 15
Issue: 4
Page: 1830-1840
Publish at: 2017-12-01

Pairwise Sequence Alignment between HBV and HCC Using Modified Needleman Wunsch Algorithm

10.12928/telkomnika.v15i4.5813
Lailil; Brawijaya University, Indonesia Muflikhah , Edy; Brawijaya University, Indonesia Santoso
Ths paper aims to find similarity of Hepatitis B virus (HBV) and Hepatocelluler Carcinoma (HCC) DNA sequences.The similarity of sequence allignments indicates that they have similarity of chemical and physical properties. Mutation of the virus DNA in X region has potential role in HCC. It is observed using pairwise sequence alignment of genotype-A in HBV. This paper is to purpose the modified method of Needleman Wunsch algorithm for optimum global DNA sequence alignment. The main idea is to optimize filling matrix and backtracking proccess of DNA components, so that there is reduction of computational time and space complexity. This research is applied to DNA sequence of 858 hepatitis B virus and 12 carcinoma patient. There are 10,296 pairwise of DNA sequences to be aligned globally using the modified method. As a result, it is achieved high similarity of 96.547% and validity of 99.854%. There is reduction of computational time as 34.6% and space complexity as 42.52%
Volume: 15
Issue: 4
Page: 1785-1793
Publish at: 2017-12-01

Selective Green Device Discovery for Device-to-Device Communication

10.12928/telkomnika.v15i4.6686
Bhaskara; Telkom University, Indonesia Narottama , Arfianto; Telkom University, Indonesia Fahmi , Rina Pudji; Telkom University, Indonesia Astuti , Desti Madya; Telkom University, Indonesia Saputri , Nur; Telkom University, Indonesia Andini , Hurianti; Telkom University, Indonesia Vidyaningtyas , Patricius Evander; Telkom University, Indonesia Christy , Obed Rhesa; Telkom University, Indonesia Ludwiniananda , Furry; Telkom University, Indonesia Rachmawati
The D2D communication is expected to improve devices’ energy-efficiency, which has become a major requirement of the future wireless network. Before the D2D communication can be performed, the device discovery between devices must be done. The previous works usually only assumed one mode of device discovery, i.e. either use network-assisted (with network supervision) or independent (without network supervision) device. Therefore, we propose a selective device discovery for device-to-device (D2D) communication that can utilize both device discovery modes and maintain devices’ energy-efficiency. Different from previous works, our proposed method selects the best device discovery mode to get the best energy-efficiency. Moreover, to further improve the energy-efficiency, our proposed method also deployed in D2D cluster with multiple cluster heads. The proposed method selects the most suitable mode using thresholds (cluster energy consumption and new device acceptance) and cluster energy expectation. Our experiment result indicates that the proposed method provides lowest energy consumption per new accepted device while compared with schemes with full network-assisted and independent device discovery in low numbers of new device arrival (for the number of new devices arrival = 1 ~ 3).
Volume: 15
Issue: 4
Page: 1666-1676
Publish at: 2017-12-01

Computer Aided Diagnosis using Margin and Posterior Acoustic Featuresfor Breast Ultrasound Images

10.12928/telkomnika.v15i4.5021
Hanung Adi; Universitas Gadjah Mada, Indonesia Nugroho , Yuli; Universitas Gadjah Mada Politeknik Caltex Riau, Indonesia Triyani , Made; Universitas Gadjah Mada Politeknik Caltex Riau, Indonesia Rahmawaty , Igi; Universitas Gadjah Mada, Indonesia Ardiyanto
Breast cancer is the most commonly diagnosed cancer among females worldwide. Computer aided diagnosis (CAD) was developed to assist radiologists in detecting and evaluating nodules so it can improve diagnostic accuracy, avoid unnecessary biopsies, reduce anxiety and control costs. This research proposes a method of CAD for breast ultrasound images based on margin and posterior acoustic features. It consists of preprocessing, segmentation using active contour without edge (ACWE) and morphological, feature extraction and classification. Texture and geometry analysis was used to determine the characteristics of the posterior acoustic and margin nodules. Support vector machines (SVM) provided better performance than multilayer perceptron (MLP). The performance of proposed method achieved the accuracy of 91.35%, sensitivity of 92.00%, specificity of 89.66%, PPV of 95.83%, NPV of 81.26% and Kappa of 0.7915. These results indicate that the developed CAD has potential to be implemented for diagnosis of breast cancer using ultrasound images.
Volume: 15
Issue: 4
Page: 1776-1784
Publish at: 2017-12-01
1 2 3
...
1857 1858
Show 1373 of 1858

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration