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

31,456 Article Results

An energy-efficient clustering protocol using fuzzy logic and network segmentation for heterogeneous WSN

10.11591/ijece.v9i5.pp4192-4203
Aziz Mahboub , El Mokhtar En-Naimi , Mounir Arioua , Hamid Barkouk , Younes El Assari , Ahmed El Oualkadi
Wireless sensor networks have become an emerging research area due to their importance in the present industrial application. The enlargement of network lifetime is the major limitation in WSN. Several routing protocols study the extension of lifespan in WSN. Routing protocols significantly influence on the global of energy consumption for sensors in WSN. It is essential to correct the energy efficiency performance of routing protocol in order to improve the lifetime. The protocols based on clustering are the most routing protocols in WSN to reduce energy consumption. The protocols dedicate to WSN have demonstrated their limitation in expanding the lifetime of the network. In this paper, we present Hybrid SEP protocol : Multi-zonal Fuzzy logic heterogeneous Clustering based on Stable Election Protocol (FMZ-SEP). The FMZ-SEP characterizes by four parameters: WSN segmentation (splitting the WSN into the triangle zones ), the Subtractive Clustering Method to determine a correct number of clusters, the FCM and the SEP protocol. The FMZ-SEP prolong the stability period and extend the lifetime. The simulation results point out that the stability period of FMZ-SEP. FMZ-SEP protocol outperforms of MZ-SEP, FSEP and SEP protocol by improving the network lifetime and the stability period.
Volume: 9
Issue: 5
Page: 4192-4203
Publish at: 2019-10-01

Modeling of digital converter for GSM signals with MATLAB

10.11591/ijece.v9i5.pp4417-4422
Metodi Traykov , Radoslav Mavrevski , Ivan Trenchev
In this study will simulate steady state of Digital Down Convertor (DDC) for GSM signal with a narrow frequency range. The MATLAB model that is described in this article simulates the work of the TIGC4016 Quad Digital Down Converter. This converter is used for digital mixing (down conversion) of signals, narrow band low-pass filtering and decimation. To implementation of the model, we use high sample-rate (69,333 MSPS) bandpass signal. The result contains low sample-rate (270.83 KSPS) baseband signal, thus facilitating the demodulation process.
Volume: 9
Issue: 5
Page: 4417-4422
Publish at: 2019-10-01

Recommender system for personalised travel itinerary

10.11591/ijece.v9i5.pp4460-4465
Tanuja Choudhary B , Tulasi B
A recommender system is an approach to give an appropriate solu-tion to a particular problem. This helps in recognising the pattern or behaviour of a user to suggest future possible likes of the user. Nowa-days people like to travel during their spare time, it has become a rigid task to decide where to go. This paper represents a customised recommender system to help users in destining their itinerary. A model is designed to suggest the best places to visit in Rome. A questionnaire was prepared to get information about users interest during their travel. The model generates the best five places to visit with respect to the choice picked by the user. The top five places for each category will be displayed to the user and the user was asked to pick a starting point for the itinerary. Then the model generates another set off a filtered list of places to enhance their travel experi-ence. It includes displaying the top 5 restaurants to visit during their travel.
Volume: 9
Issue: 5
Page: 4460-4465
Publish at: 2019-10-01

Performance analysis of emulated software defined wireless network

10.11591/ijeecs.v16.i1.pp311-318
Tsehay Admassu Assegie
Software defined wireless network is a networking architecture and an emerging networking principle that is based on software defined network. A software defined network is a fundamental networking concept which separates the networking devices used in communication network form the program that runs on the top of these devices. In this paper we will explore the modeling tools used for software defined wireless network in our literature survey and based on the survey we have used mininet-Wi-Fi for modeling software defined wireless network, which is the best and most widely used emulation tool for software defined wireless network. Lastly, we have evaluated the performance of TCP traffic bandwidth for different number of emulated end stations and access points.
Volume: 16
Issue: 1
Page: 311-318
Publish at: 2019-10-01

A new digital signature scheme with message recovery using hybrid problems

10.11591/ijece.v9i5.pp3576-3583
Nedal Tahat , Rania Shaqboua , Emad E. Abdallah , Mohammad Bsoul , Wasfi Shatanawi
We present a new digital signature scheme with message recovery and its authenticated encryption based on elliptic curve discrete logarithm and quadratic residue. The main idea is to provide a higher level of security than all other techniques that use signatures with single hard problem including factoring, discrete logarithm, residuosity, or elliptic curves. The proposed digital signature schemes do not involve any modular exponentiation operations that leave no gap for attackers. The security analysis demonstrates the improved performance of the proposed schemes in comparison with existing techniques in terms of the ability to resist the most common attacks
Volume: 9
Issue: 5
Page: 3576-3583
Publish at: 2019-10-01

Inverse sinusoidal pulse width modulation switched electric vehicles’ battery charger

10.11591/ijece.v9i5.pp3344-3358
Saurav Das , Khosru M. Salim , Dhiman Chowdhury , Mohammed Mahedi Hasan
This paper documents an efficient, cost-effective and sustainable grid-connected electric vehicles (EVs) battery charger based on a buck converter to reduce the harmonics injected into the mains power line. To utilize the switching converter as an effective power factor controller (PFC), inverse sinusoidal pulse width modulation (ISPWM) signals have been applied. A mathematical relationship between the sending-end power factor and the duty ratio of the switching converter has been presented. To ensure the sustenance of the proposed method, a simulation model of the proposed battery charging system has been tested on PSIM simulation platform. The simulation results yield to a lossless charging system with a sending-end power factor close to unity. An experimental testbed comprising a 60 V battery bank of 100 A-h capacity with a charging current of 7 A has been generated. The laboratory assessments present an 88.1% efficient charging prototype with a resultant sending-end power factor of 0.89. The laboratory framework concerns with the comparative analysis of the power efficiency, sending-end power factor and lines current total harmonic distortion (THD) values obtained for different charging methods and the evaluations corroborate the reliability of the proposed work.
Volume: 9
Issue: 5
Page: 3344-3358
Publish at: 2019-10-01

1.25 GHz – 3.3 GHz broadband solid state power amplifier for L and S bands applications

10.11591/ijece.v9i5.pp3633-3641
Mohamed Ribate , Rachid Mandry , Jamal Zbitou , Larbi El Abdellaoui , Ahmed Errkik , Mohamed Latrach
The research of a single stage broadband solid-state power amplifier based on ATF13876 transistor, which operates in the frequency ranging from 1.25 GHz ~3.3 GHz is presented in this paper. To achieve the broadband performance of the operating bandwidth, a multi-section quarter wave impedance transformer and an approximate transformation of previously synthesized lumped elements into transmission lines are adopted. With neatly design of broadband matching networks and biasing circuit, excellent matching performances and unconditionally stability are achieved over the whole operating bandwidth with a maximum gain of 17.2 dB. The large signal simulation shows that the proposed circuit reaches a saturated output power of 18.12 dBm with a maximum PAE of 27.55% and a 1-dB compression point at 5 dBm input power level. Considering the wide frequency coverage, the features of the proposed design compares favorably with the contemporary state-of-the-art.
Volume: 9
Issue: 5
Page: 3633-3641
Publish at: 2019-10-01

Hybrid controller strategy for optimization of cumulated thermal stresses, induced in X-rays tube for medical use

10.11591/ijece.v9i5.pp3944-3955
Rachedi Mohamed , Bouanane Abdelkrim
This work presents a new control strategy of the power supply, in favor of equipment intended for the medical use. Several research investigations have been reserved for the service of this supply type, but there are still some disadvantages, which have challenged their high performance in the practical side, in particular the problems which concern the weight, the size and especially, the efficiency of these installations and this, on the cost side, energy balance, and lifetime of this equipment. A control technique is presented to overcome these constraints; its principle is based on the deduction of a hybrid control of which two controllers are simultaneously used for the same radiological dose, known by the fuzzy logic and the PID which have already been tested [1], [3]. This hybrid control has been greatly enhanced and developed, thanks to its robustness against the various intolerable dynamic states applied to the system and also to the unpredictable external disturbances.
Volume: 9
Issue: 5
Page: 3944-3955
Publish at: 2019-10-01

Identifying learning style through eye tracking technology in adaptive learning systems

10.11591/ijece.v9i5.pp4408-4416
Inssaf El Guabassi , Zakaria Bousalem , Mohammed Al Achhab , Ismail Jellouli , Badr Eddine EL Mohajir
Learner learning style represents a key principle and core value of the adaptive learning systems (ALS). Moreover, understanding individual learner learning styles is a very good condition for having the best services of resource adaptation. However, the majority of the ALS, which consider learning styles, use questionnaires in order to detect it, whereas this method has a various disadvantages, For example, it is unsuitable for some kinds of respondents, time-consuming to complete, it may be misunderstood by respondent, etc. In the present paper, we propose an approach for automatically detecting learning styles in ALS based on eye tracking technology, because it represents one of the most informative characteristics of gaze behavior. The experimental results showed a high relationship among the Felder-Silverman Learning Style and the eye movements recorded whilst learning.
Volume: 9
Issue: 5
Page: 4408-4416
Publish at: 2019-10-01

Unmanned and autonomous ground vehicle

10.11591/ijece.v9i5.pp4466-4472
S. George Fernandez , K. Vijayakumar , R Palanisamy , K. Selvakumar , D. Karthikeyan , D. Selvabharathi , S. Vidyasagar , V. Kalyanasundhram
Unmanned and Autonomous Ground Vehicle (UAGV) is a smart vehicle that capable of doing tasks without the need of human operator. The automated vehicle can work during off and on road navigation and also used in military operation such as detecting bombs, border patrol, carrying cargos, search, rescue etc reducing soldier’s exposure to danger, freeing them to perform other duties. This type of vehicle mainly uses sensors to observe the environment and automatically take decisions on its own in unpredictable situation and with unknown information or pass this information to the operator who control the UAGV through various communication when it requires support. This UAGV can send visual feedbacks to the operator at the ground station. An onboard sensor gives the complete environment of the vehicle as signals to the operator.
Volume: 9
Issue: 5
Page: 4466-4472
Publish at: 2019-10-01

Modeling and analysis of IEEE 1609.4 MAC in the presence of error-prone channels

10.11591/ijece.v9i5.pp3531-3541
Akram A. Almohammedi , Nor K. Noordin , A. Sali , Fazirulhisyam Hashim , Waheb A. Jabbar , Sabri Saeed
Vehicular Ad Hoc Networks (VANETs) have been developed to improve the safety, comfort and efficiency of driving on the road. The IEEE 1609.4 is a standard intended to support multi-channel in VANETs. These channels include one control channel for safety applications and six service channels for service applications. However, there is still no comprehensive analysis for the average delay and system throughput of IEEE 1609.4 MAC in VANETs considering error-prone channel under non-saturated conditions. In this paper, we propose an analytical models based on 1-D and 2-D Markov chain to evaluate the performance analysis of IEEE 1609.4 MAC in the presence of error-prone channels. Besides, freezing of the back-off timer is taken into consideration to provide an accurate estimation of access to the channel. The simulation results have been carried out to validate the analytical results of our model. The results show that the performance of our model outperforms the existing model in terms of packet delivery ratio and average delay of safety packets over CCH, and system throughput of service packets over SCHs.
Volume: 9
Issue: 5
Page: 3531-3541
Publish at: 2019-10-01

Selection of compression test images using variance-based statistical method

10.11591/ijeecs.v16.i1.pp243-258
Chems El Houda Allaoui , Abdesselam Bassou , Ismahane Benyahia , Mustapha Khelifi
In this research paper, we used a variance-based statistical method to select 20 test images, according to these latter types (natural, satellite and medical) among a sample of 300 images (100 natural, 100 satellite and 100 medical). The images selection has been done using parameters of image quality, namely PSNR, MSSIM and VIF, which were applied on three compression algorithms (DWT+SPIHT, JPEG, and JPEG2000).
Volume: 16
Issue: 1
Page: 243-258
Publish at: 2019-10-01

Optimization of electronic sensors for detecting pollution due to organic gases using PARAFAC

10.11591/ijece.v9i5.pp3441-3449
Shri Om Mishra , S Hasan Saeed
The principle point of this examination work is to recognize the butane, Acetone, Propane, ethane, LPG and other natural gases from the strong waste and do condition checking. Here the arrangement of sensors used to identify the poison gases from strong waste. Here our point is to build up a sensor cluster framework which will identify most extreme contamination gases and which is very responsive, minimal effort and low power devouring. We have assumed three sensors in position of six sensors and given the outcomes as fluctuation, score plot and stacking plot. Here we utilize the parallel factor analysis (PARAFAC) for identification of gases and contrast it and the key part investigation Principal component analysis (PCA). We confiscated three sensors in position of six sensors and given the outcomes as variance, score plot and loading plot. Electronic noses have given a plenty of advantages in different logical research fields. Here our point is to build up a sensor exhibit framework which will distinguish most extreme contamination gases and which is profoundly responsive, exact and minimal effort and low power expending. Here we utilize the parallel factor investigation method (PARAFAC) for discovery of gases and contrast it and the primary segment examination (PCA).
Volume: 9
Issue: 5
Page: 3441-3449
Publish at: 2019-10-01

Estimation of regression-based model with bulk noisy data

10.11591/ijece.v9i5.pp3649-3656
Chanintorn Jittawiriyanukoon
The bulk noise has been provoking a contributed data due to a communication network with a tremendously low signal to noise ratio. An appreciated method for revising massive noise of individuals through information theory is widely discussed. One of the practical applications of this approach for bulk noise estimation is analyzed using intelligent automation and machine learning tools, dealing the case of bulk noise existence or nonexistence. A regression-based model is employed for the investigation and experiment. Estimation for the practical case with bulk noisy datasets is proposed. The proposed method applies slice-and-dice technique to partition a body of datasets down into slighter portions so that it can be carried out. The average error, correlation, absolute error and mean square error are computed to validate the estimation. Results from massive online analysis will be verified with data collected in the following period. In many cases, the prediction with bulk noisy data through MOA simulation reveals Random Imputation minimizes the average error.
Volume: 9
Issue: 5
Page: 3649-3656
Publish at: 2019-10-01

An optimized method towards formal verification of mixed signals using differential fed neural network over FFNN

10.11591/ijece.v9i5.pp3423-3431
Vidya D.S. , Manjunath Ramachandra
Today, the semiconductor industries are rapidly usinganalog and mixed signals to achieve cost-effective solutions on a System on Chip (SoC) design.  The SoC device is a part of analog, digital and essential mixed-signal models/circuits merged on a semiconductor device, which provides the platform to build modern retail/consumer electronics appliances with smart technology. In order to evaluate the mixed signals, the conventional approaches are not effective with respect to its performance, time and manufacturing cost. Thus, the recent researches were much interested in formal verification technique as it provides the evidence of conscious algorithms in a system. The demand for formal verification in the SoC designs in the context of software and hardware platform is high because of its cost and accuracy. Thus, the paper introduces atechnique of formal verification for mixed signals by using training models of the Differential fed neural network (DFNN) over feedforward neural network (FFNN). The formal verification is performed through equivalence checking by using recently adopted designs as reference designs. The outcomes of the verification techniques suggests that DFNN based technique improves the training accuracy and optimizes the hardware resources like area, power than the FFNN based technique.
Volume: 9
Issue: 5
Page: 3423-3431
Publish at: 2019-10-01
1 2 3
...
2097 2098
Show 1339 of 2098

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