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29,065 Article Results

Modified BPNN via Iterated Least Median Squares, Particle Swarm Optimization and Firefly Algorithm

10.11591/ijeecs.v8.i3.pp779-786
Nor Azura Md. Ghani , Saadi bin Ahmad Kamaruddin , Norazan Mohamed Ramli , Ismail Musirin , Hishamuddin Hashim
There is doubtlessly manufactured artificial neural system (ANN) is a standout amongst the most acclaimed all-inclusive approximators, and has been executed in numerous fields. This is because of its capacity to naturally take in any example with no earlier suppositions and loss of all inclusive statement. ANNs have contributed fundamentally towards time arrangement expectation field, yet the nearness of exceptions that normally happen in the time arrangement information may dirty the system preparing information. Hypothetically, the most widely recognized calculation to prepare the system is the backpropagation (BP) calculation which depends on the minimization of the common ordinary least squares (OLS) estimator as far as mean squared error (MSE). Be that as it may, this calculation is not absolutely strong within the sight of exceptions and may bring about the bogus forecast of future qualities. Accordingly, in this paper, we actualize another calculation which exploits firefly calculation on the minimal middle of squares (FA-LMedS) estimator for manufactured neural system nonlinear autoregressive (BPNN-NAR) and counterfeit neural system nonlinear autoregressive moving normal (BPNN-NARMA) models to cook the different degrees of remote issue in time arrangement information. In addition, the execution of the proposed powerful estimator with correlation with the first MSE and strong iterative slightest middle squares (ILMedS) and molecule swarm advancement on minimum middle squares (PSO-LMedS) estimators utilizing reenactment information, in light of root mean squared blunder (RMSE) are likewise talked about in this paper. It was found that the robustified backpropagation learning calculation utilizing FA-LMedS beat the first and other powerful estimators of ILMedS and PSO-LMedS. As a conclusion, developmental calculations beat the first MSE mistake capacity in giving hearty preparing of counterfeit neural systems.
Volume: 8
Issue: 3
Page: 779-786
Publish at: 2017-12-01

On Load Characteristic of the New Design Permanent Magnets Reluctance Generator

10.11591/ijape.v6.i3.pp193-198
Andi Pawawoi , Syafii Syafii
These The new design of a permanent magnet reluctance generator claimed to be able to convert the energy of the permanent magnet is the source of the main field into electrical energy, so that the generator output power can reach 167% compared with the input power axis. In this paper will discuss the characteristics of the generator voltage when under load, pure resistance, inductive load and caThese The new design of a permanent magnet reluctance generator claimed to be able to convert the energy of the permanent magnet is the source of the main field into electrical energy, so that the generator output power can reach 167% compared with the input power axis. In this paper will discuss the characteristics of the generator voltage when under load, pure resistance, inductive load and capacitive load. The results showed that when given a purely resistive load, the terminal voltage tends to be constant, but if given the inductive load, the voltage drop occurs significantly approaching zero voltage at full load current. It is very different when loaded capacitive load. When the generator under load is capacitive, the generator voltage at full load increased by 224.7% from no-load voltage.pacitive load. The results showed that when given a purely resistive load, the terminal voltage tends to be constant, but if given the inductive load, the voltage drop occurs significantly approaching zero voltage at full load current. It is very different when loaded capacitive load. When the generator under load is capacitive, the generator voltage at full load increased by 224.7% from no-load voltage
Volume: 6
Issue: 3
Page: 193-198
Publish at: 2017-12-01

Learning Manuscript on Power Management in Electrical Devices Using Zigbee Network

10.11591/ijeecs.v8.i3.pp700-701
Hema K , S. Muralidharan
This paper manages the investigation of the control system and the down to earth utilization of electrical machines utilizing an android telephone in a Zigbee arrange. The framework measures the voltage and current parameters of electric gadgets and consequently sees the power devoured. The proposed framework is an adaptable framework which gives a proficient and successful control system from a remote area. The framework likewise concentrates on voice based control and in this manner spares the power cost of the purchasers. Alternate other options to zigbee are additionally examined in the paper.
Volume: 8
Issue: 3
Page: 700-701
Publish at: 2017-12-01

Noise Removal in Microarray Images Using Variational Mode Decomposition Technique

10.12928/telkomnika.v15i4.5375
G. Sai Chaitanya; JNTU Hyderabad, India Kumar , Reddi Kiran; Krishna University, India Kumar , G. Apparao; J.B. Institute of Engineering and Technology, India Naidu , J.; GITAM University, India Harikiran
Microarray technology allows the simultaneous monitoring of thousands of genes in parallel. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Enhancement, Gridding, Segmentation and Intensity extraction are important steps in microarray image analysis. This paper presents a noise removal method in microarray images based on Variational Mode Decomposition (VMD). VMD is a signal processing method which decomposes any input signal into discrete number of sub-signals (called Variational Mode Functions) with each mode chosen to be its band width in spectral domain. First the noisy image is processed using 2-D VMD to produce 2-D VMFs. Then Discrete Wavelet Transform (DWT) thresholding technique is applied to each VMF for denoising.  The denoised microarray image is reconstructed by the summation of VMFs.  This method is named as 2-D VMD and DWT thresholding method. The proposed method is compared with DWT thresholding and BEMD and DWT thresholding methods. The qualitative and quantitative analysis shows that 2-D VMD and DWT thresholding method produces better noise removal than other two methods.
Volume: 15
Issue: 4
Page: 1750-1756
Publish at: 2017-12-01

Design of Handphone Wireless Charger System Using Omnidirectional Antenna

10.12928/telkomnika.v15i4.5819
Anton; Ahmad Dahlan Univerity, Indonesia Yudhana , Fahrizal; Universitas Ahmad Dahlan, Indonesia Djohar
Using cable as power transmission medium cause problem in flexibility and aesthetics. Wireless power transmission for charging handphone releasednowadays still using antenna with radiation pattern focus in one direction, that is just toward the top, and if the antenna was shifted then power transmitted will be lose. The purpose of this research is to produce wireless power charger system used for charging handphone power using resonator based on omnidirectional antenna and test the performance. The device in this research was designed in two main part, that is transmitter and receiver. In transmission section, there is power supply used for supplying power to oscillator to generate oscillating signal in the form of electrical power to be transmitted to receiver via antenna in the form magnetic field. In receiver section, receiver antenna received the power transmitted that is still in the reach of magnetic field generated by transmitter. The power that is still in the form of oscillating signal, then stabilized for the purpose of handphone power using rectifier and voltage regulator. Design has been made successfully to the form of handphone battery power wireless chargerusing omdirectional antenna which consist of two main part, that is transmitter and receiver. The transmitted power is 3.058 watt with frequency 714 KHz, and receiver received the power and then stabilized the signal to produce output power 58.706 miliwatt. This device can transmit power in all directions horizontally (angle 360°). This device also tested with some kind of obstacle, with the result almost all obstacle still could transmit the power except metal.
Volume: 15
Issue: 4
Page: 1757-1765
Publish at: 2017-12-01

Compact Stepped Impedance Resonator Bandpass Filter with Tunable Transmission Zeros

10.12928/telkomnika.v15i4.6695
Rezki El; Universitas Brawijaya, Indonesia Arif , Muhammad Aziz; Universitas Brawijaya, Indonesia Muslim , Sholeh Hadi; Universitas Brawijaya, Indonesia Pramono
This paper proposes a compact microstrip bandpass filter (BPF) with tunable transmission zeros, narrow bandwidth and low insertion loss. A λ/4 stepped impedance resonator (SIR) with two additional via holes has been adopted to obtain a compact size and a pair of transmission zero (TZ). Furthermore, three techniques have been developed to create a pair of controllable transmission zeros on both side of each passband.  The TZ can be controlled by adjusting either magnetic or electric coupling. The measured return losses and insertion loss is larger than 18 dB and 2.2 dB respectively. The overall size of the proposed design filter is 5.3mm x 5.5mm without considering the feeding lines.
Volume: 15
Issue: 4
Page: 1689-1692
Publish at: 2017-12-01

Theoretical Analysis of a Two-stage Sagnac loop filter using Jones Matrices

10.11591/ijece.v7i6.pp2950-2957
N. A. B. Ahmad , S. H. Dahlan , N. A. Cholan
In this work, a theoretical analysis of a Sagnac loop filter (SLF) with two-stage polarization maintaining fibers (PMFs) and polarization controllers (PCs) is presented. The transmission function of this two-stage SLF is calculated in detail by using Jones matrix. The calculation is performed in order to investigate the filtering characteristics. The theoretical results show that the wavelength interval is depending on the dynamic settings of the length of the PMFs and the polarization angle of the PCs. By changing the polarization angle of the PCs, a multiple of single, dual or triple wavelength in each channel can be achieved. Based on this study, a flat multiwavelength spectrum can be obtained by adjusting the PMFs and the PCs in the two-stage SLF. This finding significantly contributes to the generation of multiwavelength fiber laser (MWFL) that can be used for many optical applications.
Volume: 7
Issue: 6
Page: 2950-2957
Publish at: 2017-12-01

GIS Based Satellite Image Denoising Using Curvelet Transform

10.11591/ijeecs.v8.i3.pp654-656
S. Sinthuja , Santhosh Saravanan
Generally, satellite images contain very significant information about geographical features such as rivers, roads, building and bridges etc of the earth. Geographic Information System (GIS) requires these features for automatic detection and it has been corrupted by various types of noise. Curvelet Transform (CT) is used in the proposed system for denoising the images. Advantages of multi resolution image such as line, compatibility of human visual system and edge detection are provided. Then K-Means clustering is used in this system for segmentation purpose after the pre processing done.First, K-Means algorithm is used for segmenting background and water then extraction of bridges is done based on pixel intensity difference.   
Volume: 8
Issue: 3
Page: 654-656
Publish at: 2017-12-01

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

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

Ultra-Wideband Monostatic Antenna for behind the Wall Detection

10.11591/ijece.v7i6.pp2936-2941
Jawad Ali , Roshayati Yahya , Noorsaliza Abdullah , Syarfa Zahirah Sapuan
This article introduces an ultra-wideband (UWB) shifted arc antenna, designed using Rogers RT-5880 Duroid substrate for the human detection behind the wall. The frequency for this proposed antenna ranges from 2.8 - 15.6 GHz with the gain of around 6.05 dB. A high gain for antenna has been achieved by the implementation of defected ground structure (DGS) method to make it a suitable configuration for through wall detection applications. For the verification of through wall detection configuration, a simulation-based experiment using ground penetrating radar (GPR) technology has been conducted. The results showed that proposed single antenna can act as a monostatic transceiver in order to detect human skin behind the concrete wall. Later, the reflections received from the target have been analyzed to detect and identify the antenna, wall and target for distance calculation.
Volume: 7
Issue: 6
Page: 2936-2941
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
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