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29,922 Article Results

Investigation on EM radiations from interconnects in integrated circuits

10.12928/telkomnika.v18i1.13130
Lounas; University Mouloud Mammeri Belhimer , Arezki; Mouloud Mammeri University , Tizi-Ouzou. Algeria Benfdila , Ahcene; University Mouloud Mammeri Lakhlef
Characterization and estimation of interconnections behavior in integrated circuits design before the implementation phase is of paramount importance. This behavior seen as microstrip antennas gets complex as the internal signal (square or sine waves) frequencies increase. Thus, they become the preferred path for the propagation of electromagnetic disturbances. In this work we have worked out the numerical modeling of the electromagnetic interactions characterizing the electromagnetic compatibility in the microstrip transmission lines. The effect of these electromagnetic interactions in different structures topologies are studied through the analysis of the influence of the supply signals frequency and structures. The spacing between transmission line tracks and the number of tracks superposition is modeled. The evolution and variation of the scheme parameters in the frequency domain are determined. The transmission lines are considered parallel of equal spacing and superposed tracks of equal spacing and thickness. The capacitance and inductance matrices are computed and discussed. The results are found to comply with current research outcomes.
Volume: 18
Issue: 1
Page: 301-310
Publish at: 2020-02-01

RST invariant watermarking technique for vector map based on LCA-transform

10.12928/telkomnika.v18i1.15020
Saleh; King Abdulaziz University AL-ardhi , Vijey; King Abdulaziz University Thayananthan , Abdullah; King Abdulaziz University Basuhail
The dangers of copyright protection can impact 2D vector maps, having a knock-on effect on the use of vector data. To achieve invariance property, uniform RST (rotation, scaling and translation) and disguising the digital vector map’s information by implementing distortion control, is all done by using watermarking schemes. Convert an original map, then engrain the watermark. An LCA algorithm is used in this study, as a newly proposed way to protect the vector maps under copyright. The procedure is operated in this order: 1) use an original map, altered by the LCA algorithm, 2) use the coefficient of the transformation to engrain the watermark, inserting the resulting frequency into the LSB wave, 3) the watermarked map is acquired by using the inverse LCA map transformation. Further investigations discovered that the necessary standards of fidelity and invisibility can be achieved using this technique. This procedure also gives out numerous frequency domains for digital watermarking; as well as being resilient to signal and geometric invasions.
Volume: 18
Issue: 1
Page: 500-510
Publish at: 2020-02-01

A new partial image encryption method for document images using variance based quad tree decomposition

10.11591/ijece.v10i1.pp786-800
C. R. Revanna , C. Keshavamurthy
The proposed method partially and completely encrypts the gray scale Document images. The complete image encryption is also performed to compare the performance with the existing encryption methods. The partial encryption is carried out by segmenting the image using the Quad-tree decomposition method based on the variance of the image block. The image blocks with uniform pixel levels are considered insignificant blocks and others the significant blocks. The pixels in the significant blocks are permuted by using 1D Skew tent chaotic map. The partially encrypted image blocks are further permuted using 2D Henon map to increase the security level and fed as input to complete encryption. The complete encryption is carried out by diffusing the partially encrypted image. Two levels of diffusion are performed. The first level simply modifies the pixels in the partially encrypted image with the Bernoulli’s chaotic map. The second level establishes the interdependency between rows and columns of the first level diffused image. The experiment is conducted for both partial and complete image encryption on the Document images. The proposed scheme yields better results for both partial and complete encryption on Speed, statistical and dynamical attacks. The results ensure better security when compared to existing encryption schemes.
Volume: 10
Issue: 1
Page: 786-800
Publish at: 2020-02-01

Solving assembly line balancing problem using heuristic: a case study of power transformer in electrical industry

10.11591/ijeecs.v17.i2.pp850-857
Nurhanani Abu Bakar , Mohammad Fadzli Ramli , Mohd Zakimi Zakaria , Tan Chan Sin , Hafiz Masran
Currently, problem in assembly line has created so much attention, particularly in manufacturing area. Similar to this case study as they faced with problems regarding workstation in production line of electrical industry. There exist some cases where workstations in assembly line are experienced with bottleneck and suffered from high idle time. Thus, four heuristic methods are used for minimizing number or workstations and improve the bottleneck problems at the same time. In this case study, LCR, RPW and LPT have successfully minimized the number of workstations from 19 to 16. This solution has affected the layout of assembly line. Different from SPT that manage to improve the bottleneck among workstations by reducing number of workstations from 19 to 17 without changing the line layout. Therefore, both solution has brought an option for an engineer to choose which decision to be used in this assembly line in order to increase the line efficiency.
Volume: 17
Issue: 2
Page: 850-857
Publish at: 2020-02-01

Improved backtracking search optimization algorithm for PV/Wind/FC system

10.12928/telkomnika.v18i1.11887
Jihane; Mohammed V university in Rabat Kartite , Mohamed; Mohammed V university in Rabat Cherkaoui
This paper uses a novel optimization method based on the improved backtracking search optimization algorithm (IBSA). The study is conducted for a hybrid stand-alone system composed of photovoltaic panel (PV), wind turbine generator and fuel cell electrolyzer (FC). To demonstrate the effectiveness of the IBSA, four benchmark functions are used. The result shows the better exploration and exploitation of the improved backtracking search optimization algorithm in terms of convergence and speed for system comprinsing PV panel wind, turbine generator and fuel cell. The proposed algorithm is used to optimize the annual total cost (ATC) of the energy produced and feed up the load demand. The economic evaluation of the Hybrid PV/Wind/FC system is done throughout hourly demand and daily wind speed and insulation. The simulation results justify the robustness of the IBSA.
Volume: 18
Issue: 1
Page: 456-464
Publish at: 2020-02-01

Intelligent alarm system for hospitals using smartphone technology

10.12928/telkomnika.v18i1.13262
Bashar S.; Al-Nisour University College Bashar , Marwa M.; Al-Nisour University College Ismail
During the last decade, attention was paid to detect the accident and call the ambulance as soon as possible, the situation was neglected after the arrival of the patient to the specified service point. This negligence led to an increase in the mortality rate, especially where the highest percentage of deaths occurred during the first hour after the accident. This highest Mortality can be avoided by providing proper health care after the arrival of the patient to the hospital, the proposed system reduces the rescue time after the arrival of a patient to the hospital, and it requires each hospital to be endowed with a reception model responsible for detecting and reporting accident situations to the emergency service. It was be found that there is an urgent need for a web-based hospital management system with a mobile web service to respond immediately to incidents in the event of an accident. This system utilizes the Android phone application to connect to the server for transferring the specified data to the hospital and it can be used for comprehensive accident analysis and management. In this paper, a combination of Android phone application, database, and visual studio 2012 was used to develop the system.
Volume: 18
Issue: 1
Page: 450-455
Publish at: 2020-02-01

A performance analysis for real-time flood monitoring using image-based processing

10.11591/ijeecs.v17.i2.pp793-803
Qianyu Zhang , Nattha Jindapetch , Rakkrit Duangsoithong , Dujdow Buranapanichkit
Nowadays, various image-based methods have been used in the area of monitoring. Whereas the precision of detection objects and real-time processing are the key issues for many applications. Considering the limitation of the working environment, the higher correctness and faster operating time can guarantee the work efficiency. In this paper, the image-based methods have been studied to monitoring the state of the flood in the real-time system. The performance of each image processing technique has been evaluated based on accuracy and processing time. In the flood monitoring system, the variation of important parameters can cause the change of performance and the effect of the variable parameters has been demonstrated from the experiment results. After comparing to the other image-based techniques, canny edge detection presents the best one, which also has better repeatability with the source image from different locations. Consequently, the improved canny edge detection method has been proved that can work very well on the real hardware in the outdoor environment.
Volume: 17
Issue: 2
Page: 793-803
Publish at: 2020-02-01

Frequency reconfigurable monopole antenna with harmonic suppression for IoT applications

10.12928/telkomnika.v18i1.12699
Alaa Imran; Mustansiriyh University AL-Muttairy , Malik Jasim; Mustansiriyh University Farhan
This work proposes a new reconfigurable printed monopole antenna for IoT devices working with the promising wireless technology Wi-Fi 6. Based on effective resonant length value, the antenna has the ability to reconfigure its operating band between 2.4 GHz and 5 GHz ISM bands. Therefore, the designed antenna works as an RF band-pass filter which reduces receiver complexity and supports network scalability. One PIN diode with complete biasing circuit is integrated to the antenna radiator to obtain re-configurability. Furthermore, two stubs are added to the antenna structure in order to suppress harmonic component which appears near to the higher band (5 GHz) when antenna forced to work at the lower band (2.4 GHz). The design built over commercially available FR-4 substrate with a compact size of (33.5x16x1.6) mm3. CST software is used to simulate antenna performance in terms of flection coefficient, radiation pattern, efficiency, and gain.
Volume: 18
Issue: 1
Page: 10-18
Publish at: 2020-02-01

Integrating millimeter wave with hybrid precoding multiuser massive MIMO for 5G communication

10.12928/telkomnika.v18i1.13674
Mohammed Khudhur; Al-Nahrain University Hussein , Nasser N.; Al-Nahrain University Khamiss
Nowadays, there has been growing interest in the Massive MIMO as a result of improving throughput by leveraging spatial freedom and array gain. It is equipped with millimeter wave (mm Wave) bands to resolve the high path-loss. It is known from the literature that iterated algorithms are usually used to attain the hybrid precoders to accomplish a specific optimization objective. Thus, the complexity remains high because each iteration may include singular value decomposition, the matrix inversion, and so on that motivates us to split the hybrid precoding and combining problem into sub-problems. The proposed solution is a multi-user Massive MIMO hybrid beamforming based on a convex optimization problem that is applied and solved for estimating the digital precoding to eliminate inter-user interference while using codebooks to select analog beamformers. It is apparent in the majority of cases; the proposed beamforming performance is higher than only-analog beamforming, single-user (no interference), the ZF precoding, the MMSE precoding, and the Kalman precoding where the full digital solution is a considerable as the benchmark point with different scenarios due to the reduction of user interference. Thus, there is no consideration for complicated operations such as SVD or inversion matrices as well as no need for data estimation. Our proposed solution can serve a large number of users simultaneously due to more directive gain by using numerous antennas at BS. Based on its less complexity and keeping performance, our solution can be recommended.
Volume: 18
Issue: 1
Page: 90-98
Publish at: 2020-02-01

Neuro-fuzzy inference system based face recognition using feature extraction

10.12928/telkomnika.v18i1.12992
Hamsa A.; Al-Nahrain University Abdullah
Human face recognition (HFR) is the method of recognizing people in images or videos. There are different HFR methods such as feature-based, eigen-faces, hidden markov model and neural network (NN) based methods. Feature extraction or preprocessing used in first three mentioned methods that associated with the category of the image to recognize. While in the NN method, any type of image can be useful without the requirement to particular data about the type of image, and simultaneously provides superior accuracy. In this paper, HFR system based on neural-fuzzy (NF) has been introduced. In the NN system, backpropagation (BP) algorithm is used to update the weights of the neurons through supervised learning. Two sets of the image have been used for training and testing the network to identify the person. If the test image matches to one of the trained sets of the image, then the system will return recognized. And if the test image does not match to one of the trained sets of the image, then the system will return not recognized. The feature extraction methods used in this paper is Geometric moments and Color feature extraction. The recognition rate of 95.556 % has been achieved. The experimental result illustrations that the association of two techniques that provide better accuracy.
Volume: 18
Issue: 1
Page: 427-435
Publish at: 2020-02-01

Augmented reality using features accelerated segment test for learning tajweed

10.12928/telkomnika.v18i1.14750
Adi Putra; UIN Sunan Gunung Djati Bandung Andriyandi , Wahyudin; UIN Sunan Gunung Djati Bandung Darmalaksana , Dian Sa’adillah; UIN Sunan Gunung Djati Bandung Maylawati , Ferli Septi; UIN Sunan Gunung Djati Bandung Irwansyah , Teddy; Sampoerna University Mantoro , Muhammad Ali; UIN Sunan Gunung Djati Bandung Ramdhani
Currently, education forms students to think creatively and critically, this can be supported by the multimedia technology for education, including Islamic religious education. Islam requires all of its Muslim to read the Qur'an. Tajweed is an important because it is related to the articulation of reading the Qur'an properly and correctly. This article discusses the application of augmented reality (AR) as one of the multimedia technologies that can be used as an interactive educational medium to help study the tajweed of Qur'an. The method used in this research is Features from accelerated segment test (FAST) corner detection. The testing result with 31 tajweed objects show that FAST is able to recognize all Tajweed objects and display their AR. Besides, based on a survey with questionnaires to several students, the result shows that 88.2% of students responded very well and judged that it was sufficient to help study the tajweed.
Volume: 18
Issue: 1
Page: 208-216
Publish at: 2020-02-01

An early fault detection approach in grid-connected photovoltaic (GCPV) system

10.11591/ijeecs.v17.i2.pp671-679
N. Muhammad , H. Zainuddin , E. Jaaper , Z. Idrus
Faults in any components of PV system shall lead to performance degradation and if prolonged, it can leads to fire hazard. This paper presents an approach of early fault detection via acquired historical data sets of grid-connected PV (GCPV) systems. The approach is a developed algorithm comprises of failure detection on AC power by using Acceptance Ratio (AR) determination. Specifically, the implemented failure detection stage was based on the algorithm that detected differences between the actual and predicted AC power of PV system. Furthermore, the identified alarm of system failure was a decision stage which performed a process based on developed logic and decision trees. The results obtained by comparing two types of GCPV system (polycrystalline and monocrystalline silicon PV system), showed that the developed algorithm could perceive the early faults upon their occurrence. Finally, when applying AR to the PV systems, the faulty PV system demonstrated 93.38 % of AR below 0.9, while the fault free PV system showed only 31.4 % of AR below 0.9.
Volume: 17
Issue: 2
Page: 671-679
Publish at: 2020-02-01

Analog circuit fault diagnosis via FOA-LSSVM

10.12928/telkomnika.v18i1.9627
Yu; Hunan University Wenxin
At present, the research on fault detection and diagnosis technology is very significant to improve the reliability of the equipment, which can greatly improve the safety and efficiency of the equipment. This paper proposes a new fault detection and diagnosis means based on the FOA-LSSVM algorithm. Experimental results demonstrate that the algorithm is effective for the detection and diagnosis of analog circuit faults. In addition, the model also demonstrate good generalization ability.
Volume: 18
Issue: 1
Page: 251-257
Publish at: 2020-02-01

Overset grid generation with inverse scattering technique for object and crack detection

10.12928/telkomnika.v18i1.13187
Deanne Anak; Universiti Malaysia Sarawak Edwin , Shafrida; Universiti Malaysia Sarawak Sahrani , Kismet Anak; Universiti Malaysia Sarawak Hong Ping
This paper presents the forward backward time stepping (FBTS) technique with finite difference time domain (FDTD) method and overset grid generation (OGG) method was applied for the reconstruction of object and crack detection. Object and crack detection is widely used in structural health monitoring (SHM) application especially in civil structure to detect the buried object and also cracks. The proposed numerical approach has been validated by investigating different kind of ratio of grid size between the main mesh and sub-mesh. Then, the proposed numerical approach is implemented in the analysis of the detection of objects such as concrete blocks and cracks underground. Here, the numerical errors between the actual result and simulated result had been calculated by using relative error. It is shown that the proposed approach has 5.22% error and nearer to the actual value.
Volume: 18
Issue: 1
Page: 1-9
Publish at: 2020-02-01

A novel cross-coupled microstrip bandpass filter with hairpin-DGS resonators using coupling matrix technique

10.12928/telkomnika.v18i1.12447
Chetioui; University of AboubekrBelkaid of Tlemcen Mohammed , Bouasria; University of Dr. Moulay Tahar of Saïda Fatima , Damou; University of Dr. Moulay Tahar of Saïda Mehdi
This paper introduces a new design of a cross-coupled microstrip bandpass filter (MBPF) based on hairpin defected ground structure (DGS) resonators using accurate coupling matrix (CM) technique for microwave communication systems. The paper describes the equivalent circuit of the proposed MBPF based on the DGS equivalent circuit model derived from the equivalent inductance and capacitance which occur due to the perturbation of the current in the ground plane by the presence of the slots. The paper investigates also the different external coupling mechanisms that the feed configuration affects significantly the filter response. In this paper, a four order Chebyshev topology has been adopted for designing the filter to suppress harmonics and achieve a very compact size and a wide stopband with two transmission zeros.
Volume: 18
Issue: 1
Page: 465-475
Publish at: 2020-02-01
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