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Full versus decoupled constant matrices to speed up power system state estimation

10.11591/ijpeds.v11.i3.pp1287-1297
Meriem Majdoub , Bouchra Cheddadi , Omar Sabri , Abdelaziz Belfqih , Jamal Boukherouaa
This paper presents a performance evaluation of two solutions to reduce computational burden of the traditional Weighted Least Squares Algorithm for power system state estimation: Simplified methods SWLS1 / SWLS2 based on full constant matrices and Fast decoupled FDWLS based on decoupled constant matrices. First, the algorithms were tested on IEEE 14 and 118 bus transmission systems. Second, the solutions were tested on a rural distribution feeder to evaluate the response of the algorithms to high R/X ratio. Results show that for transmission systems, FDWLS is the fastest method but more sensitive to erroneous measurements. Simplifications considered in FDWLS, are not valid in distribution systems with high R/X ratio this results in slowing down the algorithm convergence speed considerably compared to SWLS2 which performs well. SWLS2 algorithm presents a promising solution to reduce computation time for application in future smart grid.
Volume: 11
Issue: 3
Page: 1287-1297
Publish at: 2020-09-01

Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation

10.11591/ijai.v9.i3.pp429-438
Hicham Ohmaid , S. Eddarouich , A. Bourouhou , M. Timouya
Un système biométrique d'identification et d'authentification permet la reconnaissance automatique d'un individu en fonction de certaines caractéristiques ou caractéristiques uniques qu'il possède. La reconnaissance de l'iris est une méthode d'identification biométrique qui applique la reconnaissance des formes aux images de l'iris. En raison des motifs épigénétiques uniques de l'iris, la reconnaissance de l'iris est considérée comme l'une des méthodes les plus précises dans le domaine de l'identification biométrique. L'algorithme de segmentation proposé dans cet article commence par déterminer les régions de l'œil à l'aide d'une approche neuronale non supervisée, après que le contour de l'œil a été trouvé à l'aide du bord de Canny, la transformation de Hough est utilisée pour déterminer le centre et le rayon de la pupille et de l'iris. . Ensuite, la normalisation permet de transformer la région de l'iris circulaire segmenté en une forme rectangulaire de taille fixe en utilisant le modèle de feuille de caoutchouc de Daugman. Une transformation en ondelettes discrètes (DWT) est appliquée à l'iris normalisé pour réduire la taille des modèles d'iris et améliorer la précision du classificateur. Enfin, la base de données URIBIS iris est utilisée pour la vérification individuelle de l'utilisateur en utilisant le classificateur KNN ou la machine à vecteur de support (SVM) qui, sur la base de l'analyse du code de l'iris lors de l'extraction des caractéristiques, est discutée.
Volume: 9
Issue: 3
Page: 429-438
Publish at: 2020-09-01

An approach of controlling the inverter-based generator for use in an islanded microgrid

10.11591/ijpeds.v11.i3.pp1610-1616
Suchart Janjornmanit , Sakorn Panta , Vishnu Thonglek
The controls of power generation by the inverter-based generator are proposed in this work. The proposed control adjusts the active power output by varying the phase angle instead of the conventional frequency variation. The benefit of operating the network by a fixed frequency is that it eradicates the problems associated with the frequency deviation. The PID controls with recommended gain adjustment are proposed to control the power generation. The power generation schemes are adapted from the classical power generation by the synchronous generator, where the modes of operation are Swing, PV and PQ mode. The proposed three modes of operation are adequate to operate fully in a small-scale power system such as in an islanded microgrid. A case study of operating the proposed controls in a microgrid by simulation is used to demonstrate the feasibility of implementation of the controls.
Volume: 11
Issue: 3
Page: 1610-1616
Publish at: 2020-09-01

Frequent pattern growth algorithm for maximizing display items

10.12928/telkomnika.v19i2.16192
Asyahri Hadi; STMIK Triguna Dharma Nasyuha , Jalius; Universitas Negeri Padang Jama , Rijal; Universitas Negeri Padang Abdullah , Yohanni; STMIK Triguna Dharma Syahra , Zulfi; STMIK Royal Kisaran Azhar , Juniar; STMIK Triguna Dharma Hutagalung , Buyung Solihin; Universitas Dharmawangsa Hasugian
Products are goods that are available and provided in stores for sale. Products provided in stores must be arranged properly to order to attract the attention of consumers to buy. Products arranged in a store will depend on the type of store. The product arrangement at a retail store will be different from the product arrangement at a clothing store. Store display will reflect a picture that is in the store so consumers know the types of products sold by product arrangement. An attractive arrangement will stimulate the desire of consumers to buy. In data mining there are several types of methods by use including prediction, association, classification and estimation. In the prediction method there are several techniques including the frequent pattern growth (FP-growth) method. FP-growth algorithm is the development of the apriori algorithm. So, the shortcomings of the apriori algorithm are corrected by the FP-growth algorithm. FP-growth is one alternative algorithm that can be used to determine the set of data that most often appears (frequent itemset) in a data set. Results of research on the application of the FP-growth algorithm to maximizing the display of goods. It is hoped that this research can be used to adjust the product layout according to the level of frequency the product is sought by the customer so that the customer has no difficulty finding the product they want.
Volume: 19
Issue: 2
Page: 390-396
Publish at: 2020-08-29

RPL routing protocol performance under sinkhole and selective forwarding attack: experimental and simulated evaluation

10.12928/telkomnika.v18i4.15768
Bimal H.; Assistant Professor,"CHARUSAT University" Patel , Parth; CHARUSAT University Shah
To make possible dream of connecting 30 billion smart devices assessable from anywhere, anytime and to fuel the engine growth of Internet of things (IoT) both in terms of physical and virtual things, Internet Engineering Task Force (IETF) came up with a concept of 6LoWPAN possessing characteristics like low power, bandwidth and cost. To bridge the routing gap and to collaborate between low power private area network and the outside world, IETF ROLL group proposed IPv6 based lightweight standard RPL (Routing protocol for low power and lossy networks). Due to large chunks of random data generated on daily basis security either externally or internally always remain bigger threat which may lead to devastation and eventually degrades the quality of service parameters affecting network resources. This paper evaluates and compare the effect of internal attacks like sinkhole and selective forwarding attacks on routing protocol for low power and lossy network topology. Widely known IoT operating system Contiki and Cooja as the simulator are used to analyse different consequences on low power and lossy network.
Volume: 18
Issue: 4
Page: 1849-1856
Publish at: 2020-08-10

A high security and noise immunity of speech based on double chaotic masking

10.11591/ijece.v10i4.pp4270-4278
Ehab AbdulRazzaq Hussein , Murtadha K. Khashan , Ameer K. Jawad
It is known that increasing the security of the information and reducing the noise effect through public channels are two of the main priorities in developing any communication system. In this article, an efficient, secure communication system with two levels of encryption has been applied to the speech signal. The suggested security approach was implemented by using two different stages of chaotic masking on the signal; one masking was conducted by using Lorenz system and the other masking was built by using Rӧssler chaotic flow system. The main goal of developing this two-chaotic masking approach is to increase the key space and the security of the information. Also, an immunity technique has been implemented in the suggested approach to reduce the noise effect. For practical application purposes, this system was tested with additive white gaussian noise (AWGN) channel. The simulation results show that the quality of reconstructed speech signal is changeable according to the used signal to noise ratio (SNR); therefore, a proposed technique based on digital processing method (DPM) was applied to the first masked signal by converting the sampled data from the analog to the binary format. The simulation results show that an 22 dB (SNR) is sufficient to recover the speech signal with minimum noise by using the suggested approach.
Volume: 10
Issue: 4
Page: 4270-4278
Publish at: 2020-08-01

Texture classification of fabric defects using machine learning

10.11591/ijece.v10i4.pp4390-4399
Yassine Ben Salem , Mohamed Naceur Abdelkrim
In this paper, a novel algorithm for automatic fabric defect classification was proposed, based on the combination of a texture analysis method and a support vector machine SVM. Three texture methods were used and compared, GLCM, LBP, and LPQ. They were combined with SVM’s classifier. The system has been tested using TILDA database. A comparative study of the performance and the running time of the three methods was carried out. The obtained results are interesting and show that LBP is the best method for recognition and classification and it proves that the SVM is a suitable classifier for such problems. We demonstrate that some defects are easier to classify than others.
Volume: 10
Issue: 4
Page: 4390-4399
Publish at: 2020-08-01

Source current harmonic mitigation of distorted voltage source by using shunt active power filter

10.11591/ijece.v10i4.pp3967-3977
Muhammad Ossama Mahmoud , Wael Mamdouh , Hamdy Khalil
In this paper, three-phase, four-wire shunt active power filter (SAPF) is utilized to mitigate system harmonics of distorted voltage source for unbalanced and nonlinear loads. Basically, the source voltage should be pure sinusoidal waveform to get a good mitigation of source current harmonics. In this under study system, the source voltage is assumed to be harmonic distortion non-sinusoidal voltage source. The phase locked loop (PLL) control circuit is wielded for extracting the fundamental component of the distorted source voltage to use it as an input signal to the SAPF control. Another input signal to the SAPF is the distorted load current. The SAPF control system uses (p-q) theory to calculate the optimum instantaneous current to be injected by the SAPF to mitigate the source current harmonics even the source voltage is harmonic distorted. MATLAB/SIMULINK software package is utilized to simulate the system under study. The effect of SAPF is tested when it’s used with and without the PLL control circuit. The simulation results show that, the THD of source current when using the PLL control circuit is improved to comply with the harmonic limits given in the IEEE 519-1992 and IEC 61000-4-7 standards.
Volume: 10
Issue: 4
Page: 3967-3977
Publish at: 2020-08-01

Dual output DC-DC quasi impedance source converter

10.11591/ijece.v10i4.pp3988-3998
Muhammad Ado , Awang Jusoh , Tole Sutikno , Mohd Hanipah Muda , Zeeshan Ahmad Arfeen
A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outputs has a different voltage gain. One of the outputs is capable of bidirectional (four-quadrant) operation by only varying the duty ratio. The second output has the gain of traditional two-switch buck-boost converter. Operation of the converter was verified by simulating its responses for different input voltages and duty ratios using MATLAB SIMULINK software. Its average steady-state output current and voltage values were determined and used to determine the ripples that existed. These ripples are less than 5% of the average steady-state values for all the input voltage and duty ratio ranges considered.
Volume: 10
Issue: 4
Page: 3988-3998
Publish at: 2020-08-01

The design of IPT system for multiple kitchen appliances using class E LCCL circuit

10.11591/ijece.v10i4.pp3483-3491
N. X. Yin , Shakir Saat , S. H. Husin , Y. Yusop , M. R. Awal
Since many years ago, kitchen appliances are powered up by cable connected. This create a troublesome case as wire might tangle together and cause kitchen table messy. Due to this, wireless power technology (WPT) is introduced as its ability is to transmit power to load without physical contact. This leads to cordless solution better in safety as the product can be completely seal, highly expandable power range. This work focuses on the design of WPT based on inductive approach to power up multiple kitchen appliances. The selection of inductive approach over its partners capacitive and acoustic is mainly due to high power efficiency. Class E inverter is proposed here to convert the DC to AC current to drive the inductive link. A 1 MHz operating frequency is used. To ensure the circuit is robust with load variations, an LCCL impedance matching is proposed. This solution is table to maintain the output power if there is a slight change in load impedance. Finally, the developed prototype is able to supply 50V utput which can achieve power transmission up to 81.76%.
Volume: 10
Issue: 4
Page: 3483-3491
Publish at: 2020-08-01

Characterization of drop-casted graphene/cellulose thin film on printing paper substrate

10.11591/ijeecs.v19.i2.pp680-685
Amirul Hadi Azmi , Shaharin Fadzli Abd Rahman , Mastura Shafinaz Zainal Abidin
Paper electronics is an emerging technology to implement flexible and wearable electronics devices via ink printing process. This paper evaluates the feasibility of using conventional printing paper for coating process with graphene/cellulose ink. 4 different types of regularly used conventional printing papers were used as substrates in this work. The conductive graphene ink was prepared through exfoliation of graphite in cellulose solution. The paper substrates surface morphology and sheet resistance of the drop-casted conductive ink on each paper were analyzed and discussed. Glossy paper was found to be suitable paper substrate for the printing of the formulated ink due to its low surface roughness of 16 nm. The value of sheet resistance of the graphene/cellulose thin film can be lowered to 4.11 kΩ/sq by applying multiple drops. This work suggests that conventional printing paper may offer solution for highly scalable and low-cost paper electronics.
Volume: 19
Issue: 2
Page: 680-685
Publish at: 2020-08-01

Reversible color video watermarking scheme based on hybrid of integer-to-integer wavelet transform and Arnold transform

10.11591/ijece.v10i4.pp3519-3527
Fahad Layth Malallah , Awatif Ali Jafaar , Nidaa Hasan Abbas , Mustafa Ghanem Saeed
Unauthorized redistribution and illegal copying of digital contents are serious issues which have affected numerous types of digital contents such as digital video. One of the methods, which have been suggested to support copyright protection, is to hide digital watermark within the digital video. This paper introduces a new video watermarking system which based on a combination of Arnold transform and integer wavelet transforms (IWT). IWT is employed to decompose the cover video frames whereby Arnold transform is used to scramble the watermark which is a grey scale image. Scrambling the watermark before the concealment makes the transmission more secure by disordering the information. The system performance was benchmarked against related video watermarking schemes, in which the evaluation processes consist of testing against several video operations and attacks. Consequently, the scheme has been demonstrated to be perfectly robust.
Volume: 10
Issue: 4
Page: 3519-3527
Publish at: 2020-08-01

Adaptive quantization for spectrum exchange information in mobile cognitive radio networks

10.11591/ijece.v10i4.pp3605-3614
Arief Marwanto , Sharifah Kamilah Syed Yusof , Muhammad Haikal Satria
To reduce the detection failure of the exchanging signal power onto the OFDM subcarrier signal at uniform quantization, dynamic subcarrier mapping is applied. Moreover, to addressing low SNR’s wall-less than pre-determine threshold, non-uniform quantization or adaptive quantization for the signal quantization size parameter is proposed. μ-law is adopted for adaptive quantization subcarrier mapping which is deployed in mobility environment, such as Doppler Effect and Rayleigh Fading propagation. In this works, sensing node received signal power then sampled into a different polarity positive and negative in μ-law quantization and divided into several segmentation levels. Each segmentation levels are divided into several sub-segment has representing one tone signal subcarrier number OFDM which has the number of quantization level and the width power. The results show that by using both methods, a significant difference is obtained around 8 dB compared to those not using the adaptive method.
Volume: 10
Issue: 4
Page: 3605-3614
Publish at: 2020-08-01

Projective synchronization for 4D hyperchaotic system based on adaptive nonlinear control strategy

10.11591/ijeecs.v19.i2.pp715-722
Zaidoon Sh. Al-Talib , Saad Fawzi AL-Azzawi
The main purpose of the paper is to projective synchronous chaotic oscillation in the real four-dimensional hyperchaotic model via designing many adaptive nonlinear controllers. Firstly, in view that there are many strategies in the design process of existing controllers, a nonlinear control strategy is considered as one of the important powerful tools for controlling the dynamical systems. The prominent advantage of the nonlinear controller lies in that it deals with known and unknown parameters. Then, the projective synchronize behavior of a four-dimensional hyperchaotic system is analyzed by using the Lyapunov stability theory and positive definite matrix, and the nonlinear control strategy is adopted to synchronize the hyperchaotic system. Finally, the effectiveness and robustness of the designed adaptive nonlinear controller are verified by simulation.
Volume: 19
Issue: 2
Page: 715-722
Publish at: 2020-08-01

Leveraging graph-based semantic annotation for the identification of cause-effect relations

10.11591/ijece.v10i4.pp4352-4362
Susetyo Bagas Bhaskoro , Inkreswari Retno Hardini
This research is related to language article in Indonesia that discuss about causality relationship research used as public health surveillance information monitoring system. Utilization of this research is suitability of feature selection, phrase annotation, paragraph annotation, medical element annotation and graph-based semantic annotation. Evaluation of system performance is done by intrinsic approach using the Naive Bayes Multinomial method. The results obtained sequentially for recall, precision and f-measure are 0.924, 0.905, and 0.910.
Volume: 10
Issue: 4
Page: 4352-4362
Publish at: 2020-08-01
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