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31,458 Article Results

TFI-FTS: An efficient transient fault injection and fault-tolerant system for asynchronous circuits on FPGA platform

10.11591/ijece.v11i3.pp2704-2710
Sharath Kumar Y. N. , Dinesha P.
Designing VLSI digital circuits is challenging tasks because of testing the circuits concerning design time. The reliability and productivity of digital integrated circuits are primarily affected by the defects in the manufacturing process or systems. If the defects are more in the systems, which leads the fault in the systems. The fault tolerant systems are necessary to overcome the faults in the VLSI digital circuits. In this research article, an asynchronous circuits based an effective transient fault injection (TFI) and fault tolerant system (FTS) are modelled. The TFI system generates the faults based on BMA based LFSR with faulty logic insertion and one hot encoded register. The BMA based LFSR reduces the hardware complexity with less power consumption on-chip than standard LFSR method. The FTS uses triple mode redundancy (TMR) based majority voter logic (MVL) to tolerant the faults for asynchronous circuits. The benchmarked 74X-series circuits are considered as an asynchronous circuit for TMR logic. The TFI-FTS module is modeled using Verilog-HDL on Xilinx-ISE and synthesized on hardware platform. The Performance parameters are tabulated for TFI-FTS based asynchronous circuits. The performance of TFI-FTS Module is analyzed with 100% fault coverage. The fault coverage is validated using functional simulation of each asynchronous circuit with fault injection in TFI-FTS Module.
Volume: 11
Issue: 3
Page: 2704-2710
Publish at: 2021-06-01

New adaptation method based on cross layer and TCP over protocols to improve QoS in mobile ad hoc network

10.11591/ijece.v11i3.pp2134-2142
Moulay Hicham Hanin , Mohamed Amnai , Youssef Fakhri
Due to rapid growth of multimedia traffic used over the mobile ad-hoc networks (MANETs), to keep up with the progress of this constraints MANETs protocols becoming increasingly concerned with the quality of service. In view of the random mobility nodes in MANET, TCP becomes more unreliability in case of higher energy consumption and packet loss. In this paper we proposed a new optimization approach to enhance decision making of TCP based on some changes of IEEE 802.11 MAC uses cross layer approach. The aim is to minimize the impact of retransmissions of packet lost and energy consumption in order to analysed and chose the appropriate routing protocol for TCP that can be enhance QoS MANET. Our simulation results based QoS study using NS3 show that, our proposed achieves better performance of TCP in MANETs significantly, and also improved the throughput, energy consumption and facilitates the traffic transmission over routing protocol.
Volume: 11
Issue: 3
Page: 2134-2142
Publish at: 2021-06-01

Optimized routing algorithm for maximizing transmission rate in D2D network

10.11591/ijeecs.v23.i1.pp575-582
Marwa K. Farhan , Muayad S. Croock
Wireless devices have been equiping extensive services over recent years. Since most of these devices are randomly distributed, a fundamental trade-off to be addressed is the transmission rate, latency, and packet loss of the ad hoc route selection in device to device (D2D) networks. Therefore, this paper introduces a notion of weighted transmission rate and total delay, as well as the probability of packet loss. By designing optimal transmission algorithms, this proposed algorithm aims to select the best path for device-to-device communication that maximizes the transmission rate while maintaining minimum delay and packet loss. Using the Lagrange optimization method, the lagrangian optimization of rate, delay, and the probability of packet loss algorithm (LORDP) is modeled. For practical designation, we consider the fading effect of the wireless channels scenario. The proposed optimal algorithm is modeled to compute the optimal cost objective function and represents the best possible solution for the corresponding path. Moreover, a simulation for the optimized algorithm is presented based on optimal cost objective function. Simulation results establish the efficiency of the proposed LORDP algorithm.
Volume: 23
Issue: 1
Page: 575-582
Publish at: 2021-06-01

Blockchain for automotive: An insight towards the IPFS blockchain-based auto insurance sector

10.11591/ijece.v11i3.pp2443-2456
Nishara Nizamuddin , Ahed Abugabah
The advancing technology and industrial revolution have taken the automotive industry by storm in recent times. The auto sector’s constantly growing demand has paved the way for the automobile sector to embrace new technologies and disruptive innovations. The multi-trillion dollar, complex auto insurance sector is still stuck in the regulations of the past. Most of the customers still contact the insurance company by phone to buy new policies and process existing insurance claims. The customers still face the risk of fraudulent online brokers, as policies are mostly signed and processed on papers which often require human supervision, with a risk of error. The insurance sector faces a threat of failure due to losing and misconception of policies and information. We present a decentralized IPFS and blockchain-based framework for the auto insurance sector that regulates the activities in terms of insurance claims for automobiles and automates payments. This article also discusses how blockchain technology’s features can be useful for the decentralized autonomous vehicle’s ecosystem.
Volume: 11
Issue: 3
Page: 2443-2456
Publish at: 2021-06-01

Hybrid swarm intelligence-based software testing techniques for improving quality of component based software

10.11591/ijeecs.v22.i3.pp1716-1722
Palak Palak , Preeti Gulia , Nasib Singh Gill
Being a time-consuming and costly activity, software testing always demands optimization and automation. Software testing is an important activity to achieve quality and customer satisfaction. This paper presents a comparative evaluation of different hybrid automated software testing techniques using the concepts of soft computing for overall quality enhancement. A comparison between three hybrid automation techniques is carried out i.e., hybrid ant colony optimization-genetic algorithms (ACO-GA), hybrid artificial bee colony (ABC)-Naïve Bayes, hybrid ABC-GA along with three parent approaches. The comparison is made by applying these hybrid techniques for the selection of minimized test suites thus reducing overall testing effort and eliminating useless or redundant test cases. The experimental results prove the efficiency of these hybrid approaches in different scenarios. The impact of automated testing techniques for quality enhancement is assessed in terms of defect density and defect detection percentage.
Volume: 22
Issue: 3
Page: 1716-1722
Publish at: 2021-06-01

Investigating the PageRank and sequence prediction based approaches for next page prediction

10.11591/ijece.v11i3.pp2229-2237
Nguyen Thon Da , Tan Hanh
Discovering unseen patterns from web clickstream is an upcoming research area. One of the meaningful approaches for making predictions is using sequence prediction that is typically the improved compact prediction tree (CPT+). However, to increase this method's effectiveness, combining it with at least other methods is necessary. This work investigates such PageRank-based methods related to sequence prediction as All-K-Markov, DG, Markov 1st, CPT, CPT+. The experimental results proved that the integration of CPT+ and PageRank is the right solution for next page prediction in terms of accuracy, which is more than a standard method of approximately 0.0621%. Still, the size of the newly created sequence database is reduced up to 35%. Furthermore, our proposed solution has an accuracy that is much higher than other ones. It is intriguing for the next phase (testing one) to make the next page prediction in terms of time performance.
Volume: 11
Issue: 3
Page: 2229-2237
Publish at: 2021-06-01

A meta-analysis of channel switching approaches for reducing zapping delay in internet protocol television

10.11591/ijeecs.v22.i3.pp1476-1484
Timothy T. Adeliyi , Ropo E. Ogunsakin , Marion O. Adebiyi , Oludayo O. Olugbara
Channel zapping delays are inconveniences that are often experienced by the subscribers of Internet protocol television (IPTV). It is a major bottleneck in the IPTV channels switching system that affect the quality of experience of users. Consequently, numerous channels switching approaches to minimize zapping delay in IPTV have been suggested. However, there is little knowledge reported in the literature on the determination of the strength of the evidence presented on the approaches of reducing zapping delay in IPTV, which is the prime purpose of this study. The extraction of the relevant articles was designed following the technique of preferred reporting items for systematic reviews and meta-analyses (PRISMA). All the included research articles were searched from the widely used databases of Google Scholar, and Web of Science. All statistical analyses were performed with the aid of the random-effects model implementation in Stata version 15. The overall pooled estimated delay component was presented in forest plots. Overall, thirteen studies were included in the meta-analysis and the overall pooled estimate was 10% (95% CI: 7%, 30%)). Experimental studies have shown that virtual elimination of IPTV zapping delay is possible for a relevant chunk of channel switching requests.
Volume: 22
Issue: 3
Page: 1476-1484
Publish at: 2021-06-01

A study of a single phase grid connected pv inverter performance under a weak grid conditions and distorted grid voltage for Cambodia

10.11591/ijpeds.v12.i2.pp1055-1068
Sovanna Phoeurn , Sakda Somkun
A single-phase grid-connected PV inverter performance under a weak grid is a model designed to penetrate PV energy with a weak grid. Usually, this model gets complex and unstable in power system control such as THD growth, harmonic effects, voltage surges, inverter performance. Experimental results would present the impacts on the system which would lead to instability in the grid system. This study was based on inverter performance control, a weak grid control, the grid distortion examination, and harmonic effects. To optimize this grid system, hence, the proposed methods of oscilloscope and power meter were proportionally used to control the grid impacts and stabilities. The results showed that current THD in distorted grid voltage system surged to 8.88%. VPCC growth was 238.11V, equivalent to 8.23% in a weak grid (XL and R). Such a huge increase could prevent the grid system from transferring power for later operation. During the experiment, the inverter, S power and Q power performances stood for good operating processes without impacts on the grid performance. This method  should be applied with a weak grid system because it provided information about grid stability control.
Volume: 12
Issue: 2
Page: 1055-1068
Publish at: 2021-06-01

Effective preprocessing based neural machine translation for English to Telugu cross-language information retrieval

10.11591/ijai.v10.i2.pp306-315
B. N. V. Narasimha Raju , M. S. V. S. Bhadri Raju , K. V. V. Satyanarayana
In cross-language information retrieval (CLIR), the neural machine translation (NMT) plays a vital role. CLIR retrieves the information written in a language which is different from the user's query language. In CLIR, the main concern is to translate the user query from the source language to the target language. NMT is useful for translating the data from one language to another. NMT has better accuracy for different languages like English to German and so-on. In this paper, NMT has applied for translating English to Indian languages, especially for Telugu. Besides NMT, an effort is also made to improve accuracy by applying effective preprocessing mechanism. The role of effective preprocessing in improving accuracy will be less but countable. Machine translation (MT) is a data-driven approach where parallel corpus will act as input in MT. NMT requires a massive amount of parallel corpus for performing the translation. Building an English - Telugu parallel corpus is costly because they are resource-poor languages. Different mechanisms are available for preparing the parallel corpus. The major issue in preparing parallel corpus is data replication that is handled during preprocessing. The other issue in machine translation is the out-of-vocabulary (OOV) problem. Earlier dictionaries are used to handle OOV problems. To overcome this problem the rare words are segmented into sequences of subwords during preprocessing. The parameters like accuracy, perplexity, cross-entropy and BLEU scores shows better translation quality for NMT with effective preprocessing.
Volume: 10
Issue: 2
Page: 306-315
Publish at: 2021-06-01

Harmonic stability analysis of multi-paralleled 3-phase PV inverters tied to grid

10.11591/ijpeds.v12.i2.pp783-792
R. S. Ravi Sankar , K. K. Deepika , A. V. Satyanarayana
In this paper the harmonic stability is investigated for multi paralleled three-phase photovoltaic inverters connected to grid. The causes to harmonically stabilize/destabilize the multi-paralleled PV inverters when tied to the grid isanalysed by the impedance-based stability criterion (IBSC). In this paper stability of the system is investigated by varying the grid inductance with constant grid resistance and also by varying load impedance while maintaining grid inductance constant. Stability of the multiple three phase inverters tied to the grid with different grid impedance, inductance value inparticular are analyzed. Overall system is stable up to grid inductance of5mH even though there is change in load admittance. It is concluded that system stability depends only on grid impedance. It is verified with Matlab Simulations.
Volume: 12
Issue: 2
Page: 783-792
Publish at: 2021-06-01

A study on modeling of a piezoelectric motor

10.11591/ijpeds.v12.i2.pp695-702
Youssef Baba , Mostafa Bouzi
n this paper, a study on modeling of a piezoelectric transducer type rotary traveling wave ultrasonic motor (USM) is presented. First a mathematical model and numerical simulation results are achieved. The model is based on the theory of piezoelectricity and physic theory. An experimental model is worked out and compared to the numerical model. The influence of the temperature on characteristics such as the rotational speed of the motor is considered. The speed of the USM is measured at temperature between 17°Cand 50°C. To develop suitable control strategies for the drive, a fuzzy model type Takagi-Sugeno is used. The unknown parameters of the output membership functions are determined by least square method. Experimental data are used to examine the validity of the fuzzy model. Comparison between experimental and calculated data of the fuzzy model indicates that the fuzzy model can well describe the nonlinear characteristics among the frequency of driving voltage and rotating speed.
Volume: 12
Issue: 2
Page: 695-702
Publish at: 2021-06-01

Acute sinusitis data classification using grey wolf optimization-based support vector machine

10.11591/ijai.v10.i2.pp438-445
Ajeng Maharani Putri , Zuherman Rustam , Jacub Pandelaki , Ilsya Wirasati , Sri Hartini
Acute sinusitis is the most common form of sinusitis, and it causes swelling and inflammation within the nose. The main thing that can causes sinusitis is probably due to viruses, and also can be caused by other factors, namely bacteria, fungi, irritation, dust, and allergens. In this research, the CT scan data attributes will be used for classification and grey wolf optimization-support vector machine (GWO-SVM) will be the machine learning technique used, where the GWO technique will be used to tuned the parameters in SVM. The performance of methods was analyzed using the python programming language with different percentages of training data, which started from 10% to 90%. The GWO-SVM method proposed provides better accuracy than using SVM without GWO.
Volume: 10
Issue: 2
Page: 438-445
Publish at: 2021-06-01

Statistical t-test assessment on performance of power system stabilizer for oscillation damping

10.11591/ijape.v10.i3.pp271-280
Wai Myat Thu , Kyaw Myo Lin
The statistical operation is necessary to validate the analytical procedure since the most important common operation is the comparison of result data to quantify accuracy and precision. In this paper, a statistical process is proposed to ensure the impact of power system stabilizers (PSSs) in 202-bus, 40-machine MEPE test system. The eigenvalue analysis is utilized for detecting the lowest damping modes and evaluating the damping ratio of system oscillation, and these modes are applied as input for statistical analysis. A t-test analysis was performed on the difference of damping performance by proposed designed PSS, tuned PSS, and without PSS to support the hypothesis. The t-test results validated that the MEPE test system with designed PSS is most applicable for the improvement of oscillation damping in the power system.
Volume: 10
Issue: 3
Page: 271-280
Publish at: 2021-05-27

Video mosaic watermarking using plasma key

10.11591/ijeecs.v22.i2.pp619-628
Nidaa Flaih Hassan , Akbas Ezaldeen Ali , Teaba Wala Aldeen , Ayad Al-Adhami
Video watermarking is one of the most widespread techniques amongst the many watermarking techniques presently are used; this is because the extreme existences of copyright abuse and misappropriation occur for video content. In this paper, a new watermarking algorithm is proposed to embed logo in digital video for copyright protection. To make the watermarks more robust to attack, host frame and host embedding indices must be changeable. A new algorithm is proposed to determined host frames by plasma function, Host location indices in frames are also determined by another plasma function. Logo is divided using the mosaic principle, the size of mosaic blocks is determined initially according to the degree of protection, whenever the size of mosaic blocks is small, it leads to safe embedding, and vice versa. Digital watermarks are embedded easily without any degradation for video quality, In the other side, the watermarked is retrieved by applying the reverse of proposed embedding algorithm and extracted watermark is still recognizable. The experimental results confirm that watermark is robust against three types of attacks which are addition of Gaussian noise, JPEG compression, and rotation process.
Volume: 22
Issue: 2
Page: 619-628
Publish at: 2021-05-01

Design feedback controller of six pulse three phase rectifier based on differential evolution algorithm

10.11591/ijeecs.v22.i2.pp670-677
Herlambang Setiadi , Akbar Swandaru , Teguh Aryo Nugroho
The application of power electronics devices is increasing significantly in this past few year. This condition could happen due to the development of semiconductor technology. The application of power electronics is varied from power plant application to vehicles application. One of the power electronics devices that becoming popular is rectifier. Rectifier can be used to transform AC electricity to DC. This paper presents fully controlled six pulse three phase rectifier which designed to stabilize the DC voltage output on a certain loads variation. PID controller is used as the close loop controller system of the rectifier. To get optimal coordination differential evolution algorithm is used to tune the parameter of PID controller. simulation is carried out in MATLAB/SIMULINK environment. From the simulation results, it is found that the performance of six pulse three phase rectifier can be enhanced significantly by using PID controller based on differential evolution algorithm.
Volume: 22
Issue: 2
Page: 670-677
Publish at: 2021-05-01
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