An antenna array is a set of a combination of two or more antennas in order to achieve improved
performance over a single antenna. This paper investigates the beam steering technique using the active
element pattern of dipole antenna array. The radiation pattern of the array can be obtain by using the
active element pattern method multiplies with the array factor. The active element pattern is crucial as the
mutual coupling effect is considered, and it will lead to an accurate radiation pattern, especially in
determining direction of arrival (DoA) of a signal. A conventional method such as the pattern multiplication
method ignores the coupling effect which is essential especially for closely spaced antenna arrays. The
comparison between both techniques has been performed for better performance. It is observed that the
active element pattern influenced the radiation pattern of antenna arrays, especially at the side lobe level.
Then, the beam of the 3x3 dipole antenna array has been steered to an angle of 60° using three
techniques; Uniform, Chebyshev and Binomial distribution. All of these are accomplished using CST and
Matlab software
Prediction of Extreme Wind Speed Using Artificial Neural Network ApproachScientific Review SR
Prediction of an accurate wind speed of wind farms is necessary because of the intermittent nature
of wind for any region. Number of methods such as persistence, physical, statistical, spatial correlation, artificial
intelligence network and hybrid are generally available for prediction of wind speed. In this paper, ANN based
methods viz., Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks are used. The
performance of the networks applied for prediction of wind speed is evaluated by model performance indicators
viz., Correlation Coefficient (CC), Model Efficiency (MEF) and Mean Absolute Percentage Error (MAPE).
Meteorological parameters such as maximum and minimum temperature, air pressure, solar radiation and
altitude are considered as input units for MLP and RBF networks to predict the extreme wind speed at Delhi.
The study shows the values of CC, MEF and MAPE between the observed and predicted wind speed (using
MLP) are computed as 0.992, 95.4% and 4.3% respectively while training the network data. For RBF network,
the values of CC, MEF and MAPE are computed as 0.992, 95.9% and 3.0% respectively. The model
performance analysis indicates the RBF is better suited network among two different networks studied for
prediction of extreme wind speed at Delhi.
Transmission spectra of single ring coupled-waveguide resonator configuration...TELKOMNIKA JOURNAL
Development of optical waveguide resonators have greatly expanded and continues to grow since they have kinds potential applications such as wavelength filtering, switching, coupling and multiplexing. One of resonators, coupled waveguides, ring resonators are designed and operated using various coupling configurations. Ring resonators can be particularly used as wavelength filter if the wavelength can fit a whole multiple time in the circumference of the ring. This article proposes to investigate the transmission spectra from the power source and amplify it in linearized ring resonator configurations and varies the input amplitude on five different wavelengths. With finite difference time domain method, the geometry and power source are simulated to obtain the better result and configuration. The results show the intensity phenomena of filtering in optical circuit.
Particle Swarm Optimization with Constriction Factor and Inertia Weight Appro...IDES Editor
In this paper, an evolutionary optimization
technique, Particle Swarm Optimization with Constriction
Factor and Inertia Weight Approach (PSOCFIWA) is adopted
for the complex synthesis of three-ring Concentric Circular
Antenna Arrays (CCAA) with non-isotropic elements and
without and with central element feeding. It is shown that by
selection of a fitness function which controls more than one
parameter of the array pattern, and also by proper setting of
weight factors in fitness function, one can achieve very good
results. For each optimal design, optimal current excitation
weights and optimal radii are determined having the objective
of maximum Sidelobe Level (SLL) reduction. The extensive
computational results show that the CCAA designs having
central element feeding with non-isotropic elements yield
much more reduction in SLL as compared to the same not
having central element feeding. Moreover, the particular
CCAA containing 4, 6 and 8 number of elements in three
successive rings along with central element feeding yields
grand minimum SLL (-46.4 dB). Standard Particle Swarm
Optimization (PSO) is adopted to compare the results of the
PSOCFIWA algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Prediction of Extreme Wind Speed Using Artificial Neural Network ApproachScientific Review SR
Prediction of an accurate wind speed of wind farms is necessary because of the intermittent nature
of wind for any region. Number of methods such as persistence, physical, statistical, spatial correlation, artificial
intelligence network and hybrid are generally available for prediction of wind speed. In this paper, ANN based
methods viz., Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks are used. The
performance of the networks applied for prediction of wind speed is evaluated by model performance indicators
viz., Correlation Coefficient (CC), Model Efficiency (MEF) and Mean Absolute Percentage Error (MAPE).
Meteorological parameters such as maximum and minimum temperature, air pressure, solar radiation and
altitude are considered as input units for MLP and RBF networks to predict the extreme wind speed at Delhi.
The study shows the values of CC, MEF and MAPE between the observed and predicted wind speed (using
MLP) are computed as 0.992, 95.4% and 4.3% respectively while training the network data. For RBF network,
the values of CC, MEF and MAPE are computed as 0.992, 95.9% and 3.0% respectively. The model
performance analysis indicates the RBF is better suited network among two different networks studied for
prediction of extreme wind speed at Delhi.
Transmission spectra of single ring coupled-waveguide resonator configuration...TELKOMNIKA JOURNAL
Development of optical waveguide resonators have greatly expanded and continues to grow since they have kinds potential applications such as wavelength filtering, switching, coupling and multiplexing. One of resonators, coupled waveguides, ring resonators are designed and operated using various coupling configurations. Ring resonators can be particularly used as wavelength filter if the wavelength can fit a whole multiple time in the circumference of the ring. This article proposes to investigate the transmission spectra from the power source and amplify it in linearized ring resonator configurations and varies the input amplitude on five different wavelengths. With finite difference time domain method, the geometry and power source are simulated to obtain the better result and configuration. The results show the intensity phenomena of filtering in optical circuit.
Particle Swarm Optimization with Constriction Factor and Inertia Weight Appro...IDES Editor
In this paper, an evolutionary optimization
technique, Particle Swarm Optimization with Constriction
Factor and Inertia Weight Approach (PSOCFIWA) is adopted
for the complex synthesis of three-ring Concentric Circular
Antenna Arrays (CCAA) with non-isotropic elements and
without and with central element feeding. It is shown that by
selection of a fitness function which controls more than one
parameter of the array pattern, and also by proper setting of
weight factors in fitness function, one can achieve very good
results. For each optimal design, optimal current excitation
weights and optimal radii are determined having the objective
of maximum Sidelobe Level (SLL) reduction. The extensive
computational results show that the CCAA designs having
central element feeding with non-isotropic elements yield
much more reduction in SLL as compared to the same not
having central element feeding. Moreover, the particular
CCAA containing 4, 6 and 8 number of elements in three
successive rings along with central element feeding yields
grand minimum SLL (-46.4 dB). Standard Particle Swarm
Optimization (PSO) is adopted to compare the results of the
PSOCFIWA algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Elements Space and Amplitude Perturbation Using Genetic Algorithm for Antenna...CSCJournals
A simple and fast genetic algorithm (GA) developed to reduce the sidelobes in non-uniformly spaced linear antenna arrays. The proposed GA algorithm optimizes two vectors of variables to increase the Main lobe to Sidelobe power ratio (M/S) of array’s radiation pattern. The algorithm, in the first phase calculates the positions of the array elements and in the second phase, it manipulates the amplitude of excitation signals for each element. The simulations performed for 16 and 24 elements array structure. The results indicated that M/S improved in first phase from 13.2 to over 22.2dB meanwhile the half power beamwidth (HPBW) left almost unchanged. After element replacement, in the second phase, by using amplitude tapering further improvement up to 32dB was achieved. Also, the simulations shown that after element space perturbation, some antenna elements can be merged together without any performance degradation in radiation pattern in terms of gain and sidelobes level.
Firefly Algorithm to Opmimal Distribution of Reactive Power Compensation Units IJECEIAES
The issue of electric power grid mode of optimization is one of the basic directions in power engineering research. Currently, methods other than classical optimization methods based on various bio-heuristic algorithms are applied. The problems of reactive power optimization in a power grid using bio-heuristic algorithms are considered. These algorithms allow obtaining more efficient solutions as well as taking into account several criteria. The Firefly algorithm is adapted to optimize the placement of reactive power sources as well as to select their values. A key feature of the proposed modification of the Firefly algorithm is the solution for the multi-objective optimization problem. Algorithms based on a bio-heuristic process can find a neighborhood of global extreme, so a local gradient descent in the neighborhood is applied for a more accurate solution of the problem. Comparison of gradient descent, Firefly algorithm and Firefly algorithm with gradient descent is carried out.
This research presents tracking the maximum power of a photovoltaic to control a five-level inverter, a cascade type connecting a single-phase grid-connected system with a fuzzy logic control model. Maximum power tracking control In this research, the principle of controlling the maximum current amplitude of the photovoltaic multiplied by the sine signal per unit that used as a reference current compared to the grid current. Signal comparison with the PID controller allows the creation of five levels of PWM of cascade control of five-level inverter connects single-phase grids. The results of the simulation test using the program MATLAB/Simulink to compare with the generated prototype found that the fuzzy logic principle was used to control the maximum power tracking conditions of the P&O method, when the amount of radiation light intensity decreases suddenly, making it possible to track the maximum power of the photovoltaic. Also, when the inverter connected to the grid by controlling the power angle to compare results between the simulation and the prototype — found that the current flowing into the grid increases according to the power angle control. Resulting in a nearby waveform, sine wave and an out of phase angle to the grid voltage because the system is in the inverter mode, and the harmonic spectrum of the grid currently has total harmonic distortion (THD) is reduced as an indication of the proposed system can be developed and applications.
non parametric methods for power spectrum estimatonBhavika Jethani
non-parametric methods for power spectrum estimation which includes bartlett method, welch method , blackman and tukey methods and also the comparision of all these methods
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Estimation of global solar radiation by using machine learning methodsmehmet şahin
In this study, global solar radiation (GSR) was estimated based on 53 locations by using ELM, SVR, KNN, LR and NU-SVR methods. Methods were trained with a two-year data set and accuracy of the mentioned methods was tested with a one-year data set. The data set of each year was consisting of 12 months. Whereas the values of month, altitude, latitude, longitude, vapour pressure deficit and land surface temperature were used as input for developing models, GSR was obtained as output. Values of vapour pressure deficit and land surface temperature were taken from radiometry of NOAA-AVHRR satellite. Estimated solar radiation data were compared with actual data that were obtained from meteorological stations. According to statistical results, most successful method was NU-SVR method. The RMSE and MBE values of NU-SVR method were found to be 1,4972 MJ/m2 and 0,2652 MJ/m2, respectively. R value was 0,9728. Furthermore, worst prediction method was LR. For other methods, RMSE values were changing between 1,7746 MJ/m2 and 2,4546 MJ/m2. It can be seen from the statistical results that ELM, SVR, k-NN and NU-SVR methods can be used for estimation of GSR.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Cluster head election using imperialist competitive algorithm (chei) for wire...ijmnct
One of the most important challenges of wireless sensor network is how to prolong its life time. The main
obstacle in these networks is the limited energy of nodes. We can overcome this problem by optimizing the
nodes' power consumption. The clustering mechanismis the one of the representative approachesto reduce
energy consumption, but optimum clustering of wireless sensor network is an NP-Hard problem. This
paper proposes a hybrid algorithm based on Imperialist competitive algorithm to overcome this clustering
problem. The proposed method, acts on one of the clusters in the network to choose the best sensor in
the cluster as a cluster head. To perform this action, the cluster is divided into several sub-clusters,
each of which has a cluster head. These cluster heads using Assimilation
policies, try to attract the regular nodes to themselves, and Using Imperialistic competition,
they compete with each other until one of these cluster heads is selected as the final cluster head. After this
stage, the algorithm work ends. This algorithm will balance the energy consumption in the network and
improve the network lifetime. To prove efficiency of proposed algorithm(CHEI), we simulated the proposed
algorithm compared with two clustering algorithms using the matlab
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
A study on the V-shaped microstrip patch antenna for multiple-input multiple-output (MIMO) communication system based on the antenna orientation is performed. First the microstrip patch antenna operating at 2.45 GHz is calculated and simulated. Next, multiple elements of antennas for MIMO system is simulated and discussed. V-shaped with 45 degree slanted inward and outward is studied. The antenna properties are analyzed and compact antenna design is determined based on the simulation results. The dresults show the gap between antennas can be optimized to 1 mm while maintaining low mutual coupling. The gain of the MIMO antenna is 8.42 dBi. The simulated return losses, together with the radiation patterns, are presented and discussed.
Elements Space and Amplitude Perturbation Using Genetic Algorithm for Antenna...CSCJournals
A simple and fast genetic algorithm (GA) developed to reduce the sidelobes in non-uniformly spaced linear antenna arrays. The proposed GA algorithm optimizes two vectors of variables to increase the Main lobe to Sidelobe power ratio (M/S) of array’s radiation pattern. The algorithm, in the first phase calculates the positions of the array elements and in the second phase, it manipulates the amplitude of excitation signals for each element. The simulations performed for 16 and 24 elements array structure. The results indicated that M/S improved in first phase from 13.2 to over 22.2dB meanwhile the half power beamwidth (HPBW) left almost unchanged. After element replacement, in the second phase, by using amplitude tapering further improvement up to 32dB was achieved. Also, the simulations shown that after element space perturbation, some antenna elements can be merged together without any performance degradation in radiation pattern in terms of gain and sidelobes level.
Firefly Algorithm to Opmimal Distribution of Reactive Power Compensation Units IJECEIAES
The issue of electric power grid mode of optimization is one of the basic directions in power engineering research. Currently, methods other than classical optimization methods based on various bio-heuristic algorithms are applied. The problems of reactive power optimization in a power grid using bio-heuristic algorithms are considered. These algorithms allow obtaining more efficient solutions as well as taking into account several criteria. The Firefly algorithm is adapted to optimize the placement of reactive power sources as well as to select their values. A key feature of the proposed modification of the Firefly algorithm is the solution for the multi-objective optimization problem. Algorithms based on a bio-heuristic process can find a neighborhood of global extreme, so a local gradient descent in the neighborhood is applied for a more accurate solution of the problem. Comparison of gradient descent, Firefly algorithm and Firefly algorithm with gradient descent is carried out.
This research presents tracking the maximum power of a photovoltaic to control a five-level inverter, a cascade type connecting a single-phase grid-connected system with a fuzzy logic control model. Maximum power tracking control In this research, the principle of controlling the maximum current amplitude of the photovoltaic multiplied by the sine signal per unit that used as a reference current compared to the grid current. Signal comparison with the PID controller allows the creation of five levels of PWM of cascade control of five-level inverter connects single-phase grids. The results of the simulation test using the program MATLAB/Simulink to compare with the generated prototype found that the fuzzy logic principle was used to control the maximum power tracking conditions of the P&O method, when the amount of radiation light intensity decreases suddenly, making it possible to track the maximum power of the photovoltaic. Also, when the inverter connected to the grid by controlling the power angle to compare results between the simulation and the prototype — found that the current flowing into the grid increases according to the power angle control. Resulting in a nearby waveform, sine wave and an out of phase angle to the grid voltage because the system is in the inverter mode, and the harmonic spectrum of the grid currently has total harmonic distortion (THD) is reduced as an indication of the proposed system can be developed and applications.
non parametric methods for power spectrum estimatonBhavika Jethani
non-parametric methods for power spectrum estimation which includes bartlett method, welch method , blackman and tukey methods and also the comparision of all these methods
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Estimation of global solar radiation by using machine learning methodsmehmet şahin
In this study, global solar radiation (GSR) was estimated based on 53 locations by using ELM, SVR, KNN, LR and NU-SVR methods. Methods were trained with a two-year data set and accuracy of the mentioned methods was tested with a one-year data set. The data set of each year was consisting of 12 months. Whereas the values of month, altitude, latitude, longitude, vapour pressure deficit and land surface temperature were used as input for developing models, GSR was obtained as output. Values of vapour pressure deficit and land surface temperature were taken from radiometry of NOAA-AVHRR satellite. Estimated solar radiation data were compared with actual data that were obtained from meteorological stations. According to statistical results, most successful method was NU-SVR method. The RMSE and MBE values of NU-SVR method were found to be 1,4972 MJ/m2 and 0,2652 MJ/m2, respectively. R value was 0,9728. Furthermore, worst prediction method was LR. For other methods, RMSE values were changing between 1,7746 MJ/m2 and 2,4546 MJ/m2. It can be seen from the statistical results that ELM, SVR, k-NN and NU-SVR methods can be used for estimation of GSR.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Cluster head election using imperialist competitive algorithm (chei) for wire...ijmnct
One of the most important challenges of wireless sensor network is how to prolong its life time. The main
obstacle in these networks is the limited energy of nodes. We can overcome this problem by optimizing the
nodes' power consumption. The clustering mechanismis the one of the representative approachesto reduce
energy consumption, but optimum clustering of wireless sensor network is an NP-Hard problem. This
paper proposes a hybrid algorithm based on Imperialist competitive algorithm to overcome this clustering
problem. The proposed method, acts on one of the clusters in the network to choose the best sensor in
the cluster as a cluster head. To perform this action, the cluster is divided into several sub-clusters,
each of which has a cluster head. These cluster heads using Assimilation
policies, try to attract the regular nodes to themselves, and Using Imperialistic competition,
they compete with each other until one of these cluster heads is selected as the final cluster head. After this
stage, the algorithm work ends. This algorithm will balance the energy consumption in the network and
improve the network lifetime. To prove efficiency of proposed algorithm(CHEI), we simulated the proposed
algorithm compared with two clustering algorithms using the matlab
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
A study on the V-shaped microstrip patch antenna for multiple-input multiple-output (MIMO) communication system based on the antenna orientation is performed. First the microstrip patch antenna operating at 2.45 GHz is calculated and simulated. Next, multiple elements of antennas for MIMO system is simulated and discussed. V-shaped with 45 degree slanted inward and outward is studied. The antenna properties are analyzed and compact antenna design is determined based on the simulation results. The dresults show the gap between antennas can be optimized to 1 mm while maintaining low mutual coupling. The gain of the MIMO antenna is 8.42 dBi. The simulated return losses, together with the radiation patterns, are presented and discussed.
Some possible interpretations from data of the CODALEMA experimentAhmed Ammar Rebai PhD
The purpose of the CODALEMA experiment, installed at the Nan\c{c}ay Radio Observatory (France), is to study the radio-detection of ultra-high energy cosmic rays in the energy range of 10^{16}-10^{18} eV. Distributed over an area of 0.25 km^2, the original device uses in coincidence an array of particle detectors and an array of short antennas, with a centralized acquisition. A new analysis of the observable in energy for radio is presented from this system, taking into account the geomagnetic effect. Since 2011, a new array of radio-detectors, consisting of 60 stand-alone and self-triggered stations, is being deployed over an area of 1.5 km^2 around the initial configuration. This new development leads to specific constraints to be discussed in term of recognition of cosmic rays and in term of analysis of wave-front.
Variable radiation pattern from co axial probe fed rectangular patch antenna ...eSAT Journals
Abstract The idea of obtaining variable radiation patterns from the same antenna is important aspect in achieving the adaptive antenna systems. In the EM signal processing the change of radiation signifies the information to be transmitted, its rate of transmission, the geographical changes and direction to transmit etc. i.e. each time when the requirement arises to change the radiation pattern it has to be done to satisfy the conditions. Electronically steerable antennas were used where the antenna radiation will be altered by varying the feed and similar case is applied for shaped patterns from array antenna where the feed to be given will be calculated and given accordingly. In the present concept the metamaterials are used to obtain different radiation patterns occurred at different operating frequencies using the same antenna without changing the antenna physically are varying its feed. Key Words: Inductance, capacitance, operating frequency, variable radiation, enhancement, radiation cancellation.
Performance Enhancement of Wideband Reflectarray Antennas Embedded on Paper S...TELKOMNIKA JOURNAL
This research presents an innovative solution to address the bandwidth limitation of microstrip
reflectarray antennas. Organic substrate materials with controlled compositions have been characterized
to be employed as substrate materials for microstrip reflectarrays. The three proposed materials show low
dielectric permittivity values of 1.81, 1.64 and 1.84 along with loss tangents of 0.053, 0.047 and 0.057
respectively. The proposed substrate materials have been verified by modelling reflectarray unit elements
in CST MWS and measured using a waveguide simulator technique. The comparison between measured
and simulated results show a good agreement with promising broadband performance of 312, 340 and
207 MHz for S1, S2 and S3 substrate materials respectively.
A cellular base station antenna configuration for variable coverageIJECEIAES
The field coverage offered by the base station antenna in GSM systems influences the reception and interference performances. The coverage can be varied by scanning the mainbeam direction or varying the shape of the radiation pattern. In cellular system applications, a simple technique is desirable to achieve this goal. A simple technique to vary the coverage of cellular base station is investigated. The technique uses two conventional antennas tilted by a certain angle and fed by the same signal but at variable amplitudes. It is demonstrated that the field across one half of the covered sector can be gradually increased while that at the other half is reduced by varying the excitations of the two antenna elements. This can be deployed in a simple electronic means in response to the changing scenario rather readjusting the direction of the base station antenna.
NOVEL METHODOLOGY OF THE ULTRA SONIC BEAM IN LINEAR ARRAY TRANSDUCER FOR HIGH...Journal For Research
In this paper, the focusing of ultrasound beam is considered. Electronic circuitry is considered as support to the theme of the work. The results presented in this paper are notable for improved resolution. The extension of the application diversity is also proposed based on use of Piezo electric transceducers.
In communication between planes and satellites, Optical Beamforming Networks (OBFNs), which rely on many small and flat Phased Array Antennas (PAAs), need to be tuned in order to receive signals from specific angles. In this paper, we develop a deep neural network representation of tuning OBFNs. The problem of tuning an OBFN is in many aspects similar to training a deep neural network. We present a way to exploit the special structure of OBFNs into deep neural network and an algorithm for tuning OBFNs based on feedback that can be easily measured in real system. Training data, which consists of full signals, can be measured, and therefore is used in this paper. For pilot signals, the desired signal is known explicitly. Given the configuration of OBFNs and all nominal parameters required, it was verified in simulation that the deep neural network can be used to tune large scale OBFNs for any desired delays.
Seminar Report On Micro Strip Patch Antenna.it is describe the only design of 5khz and 1.9khz antenna making steps also show the 3d veiws of radiation pattern, and all the parameters of antenna dependent on it.
with content and acknoladgement
Backtracking Search Optimization for Collaborative Beamforming in Wireless Se...TELKOMNIKA JOURNAL
Due to energy limitation and constraint in communication capabilities, the undesirable high
battery power consumption has become one of the major issues in wireless sensor network (WSN).
Therefore, a collaborative beamforming (CB) method was introduced with the aim to improve the radiation
beampattern in order to compensate the power consumption. A CB is a technique which can increase the
sensor node gain and performance by aiming at the desired objectives through intelligent capabilities. The
sensor nodes were located randomly in WSN environment. The nodes were designed to cooperate among
each other and act as a collaborative antenna array. The configuration of the collaborative nodes was
modeled in circular array formation. The position of array nodes was determined by obtaining the optimum
parameters pertaining to the antenna array which implemented by using Backtracking Search Optimization
Algorithm (BSA). The parameter considered in the project was the side-lobe level minimization. It was
observed that, the suppression of side-lobe level for BSA was better compared to the radiation
beampattern obtained for conventional uniform circular array.
Design of Non-Uniform Linear Antenna Arrays Using Dolph- Chebyshev and Binomi...IJERA Editor
This paper explores the analytical methods of synthesizing linear antenna arrays. The synthesis employed is
based on non-uniform methods. In particular, the Dolph-Chebyshev and binomial methods are used, so as to
improve the directivity of the array and to reduce the level of the secondary lobes by adjusting the geometrical
and electric parameters of the array. The radiation patterns, the directivity, and the array factors of the uniform
and the non-uniform methods are presented. It is shown that the Chebyshev arrays have better directivity than
binomial arrays for the same number of elements and separation distance, while binomial arrays have very low
side lobes compared with Chebyshev and uniform excitation arrays. Finally, numerical results of both methods
are analyzed and compared.
This ppt describes the ways of designing a fractal antenna , it's limitations and advantages over normal antennas and the applications associated with it.(brief view)...
MODELING OF PLANAR METAMATERIAL STRUCTURE AND ITS EFFECTIVE PARAMETER EXTRACTIONIAEME Publication
This paper is about designing a Metamaterial structure and the Scattering Parameter Extraction Method that has become a prime tool for Metamaterial characterization so that there is a better understanding of relation between their configuration and associated properties of these materials in terms of negative permittivity and negative permeability to explore application potential. A 2D planar Metamaterial structure has been designed, fabricated and analyzed. It consists of conducting patches and meander lines on a dielectric substrate. Electromagnetic modeling was carried out using Finite Difference Time Domain method based simulation tool EMPIRE XCcel.
Improving the performance parameters of microstrip patch antenna by using ebg...eSAT Journals
Abstract Antibiotic toxicity and multi drug resistant pathogens are the two greatest challenges being faced by today's medical world. In the present study, the antimicrobial activity of spices has been investigated as an alternative to antibiotics in order to tackle these dangers. In search of bioactive compound, methanol and acetone extract of 5 Indian spices were screened for antibacterial property. The choice of spice as an alternative is based on two basic reasons: firstly, plants have been the model source of medicine since ancient times and secondly, the increasing acceptance of herbal medicines by general population methanolic and acetone extracts were used to determine antifungal properties of the spices. The antifungal activity of five common Indian spices namely clove, ajwain, turmeric, dalchini and black pepper against two bacteria Aspergillus niger and Trichoderma sp. The results revealed that the methanol extracts of spices (MIC values of 20- 100 μl/ml) have high antimicrobial activities on all test organisms (range of inhibition, 6- 16 mm) as compare to acetone extracts of spices in same concentration. Results concluded that these spices contain high amount of secondary metabolites due to these metabolites they have high antimicrobial activity and it can be used as good bio- preservater and it can also use for medicinal purpose. Keywords: Antibacterial Properties, Secondary Metabolites, Multi Drug Resistant Pathogens.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Implementation of Digital Beamforming Technique for Linear Antenna Arraysijsrd.com
A digital Beamforming technique used for increased channel capacity and also increased signal to noise and interference ratio. In smart antenna, different type of radiation pattern of an antenna can be changed either by selecting appropriate weights or by changing the array geometry. This paper presented based on auxiliary phase algorithm by using this algorithm in linear antenna array determine the array pattern approximating the auxiliary function in both amplitude and phase. Cost function involving auxiliary function and array pattern is minimized by modifying the pattern.
Similar to Beam Steering Using the Active Element Pattern of Antenna Array (20)
Amazon products reviews classification based on machine learning, deep learni...TELKOMNIKA JOURNAL
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a huge extent. Whenever a product is purchased on an e-commerce platform, people leave their reviews about the product. These reviews are very helpful for the store owners and the product’s manufacturers for the betterment of their work process as well as product quality. An automated system is proposed in this work that operates on two datasets D1 and D2 obtained from Amazon. After certain preprocessing steps, N-gram and word embedding-based features are extracted using term frequency-inverse document frequency (TF-IDF), bag of words (BoW) and global vectors (GloVe), and Word2vec, respectively. Four machine learning (ML) models support vector machines (SVM), logistic regression (RF), logistic regression (LR), multinomial Naïve Bayes (MNB), two deep learning (DL) models convolutional neural network (CNN), long-short term memory (LSTM), and standalone bidirectional encoder representations (BERT) are used to classify reviews as either positive or negative. The results obtained by the standard ML, DL models and BERT are evaluated using certain performance evaluation measures. BERT turns out to be the best-performing model in the case of D1 with an accuracy of 90% on features derived by word embedding models while the CNN provides the best accuracy of 97% upon word embedding features in the case of D2. The proposed model shows better overall performance on D2 as compared to D1.
Design, simulation, and analysis of microstrip patch antenna for wireless app...TELKOMNIKA JOURNAL
In this study, a microstrip patch antenna that works at 3.6 GHz was built and tested to see how well it works. In this work, Rogers RT/Duroid 5880 has been used as the substrate material, with a dielectric permittivity of 2.2 and a thickness of 0.3451 mm; it serves as the base for the examined antenna. The computer simulation technology (CST) studio suite is utilized to show the recommended antenna design. The goal of this study was to get a more extensive transmission capacity, a lower voltage standing wave ratio (VSWR), and a lower return loss, but the main goal was to get a higher gain, directivity, and efficiency. After simulation, the return loss, gain, directivity, bandwidth, and efficiency of the supplied antenna are found to be -17.626 dB, 9.671 dBi, 9.924 dBi, 0.2 GHz, and 97.45%, respectively. Besides, the recreation uncovered that the transfer speed side-lobe level at phi was much better than those of the earlier works, at -28.8 dB, respectively. Thus, it makes a solid contender for remote innovation and more robust communication.
Design and simulation an optimal enhanced PI controller for congestion avoida...TELKOMNIKA JOURNAL
In this paper, snake optimization algorithm (SOA) is used to find the optimal gains of an enhanced controller for controlling congestion problem in computer networks. M-file and Simulink platform is adopted to evaluate the response of the active queue management (AQM) system, a comparison with two classical controllers is done, all tuned gains of controllers are obtained using SOA method and the fitness function chose to monitor the system performance is the integral time absolute error (ITAE). Transient analysis and robust analysis is used to show the proposed controller performance, two robustness tests are applied to the AQM system, one is done by varying the size of queue value in different period and the other test is done by changing the number of transmission control protocol (TCP) sessions with a value of ± 20% from its original value. The simulation results reflect a stable and robust behavior and best performance is appeared clearly to achieve the desired queue size without any noise or any transmission problems.
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...TELKOMNIKA JOURNAL
Vehicular ad-hoc networks (VANETs) are wireless-equipped vehicles that form networks along the road. The security of this network has been a major challenge. The identity-based cryptosystem (IBC) previously used to secure the networks suffers from membership authentication security features. This paper focuses on improving the detection of intruders in VANETs with a modified identity-based cryptosystem (MIBC). The MIBC is developed using a non-singular elliptic curve with Lagrange interpolation. The public key of vehicles and roadside units on the network are derived from number plates and location identification numbers, respectively. Pseudo-identities are used to mask the real identity of users to preserve their privacy. The membership authentication mechanism ensures that only valid and authenticated members of the network are allowed to join the network. The performance of the MIBC is evaluated using intrusion detection ratio (IDR) and computation time (CT) and then validated with the existing IBC. The result obtained shows that the MIBC recorded an IDR of 99.3% against 94.3% obtained for the existing identity-based cryptosystem (EIBC) for 140 unregistered vehicles attempting to intrude on the network. The MIBC shows lower CT values of 1.17 ms against 1.70 ms for EIBC. The MIBC can be used to improve the security of VANETs.
Conceptual model of internet banking adoption with perceived risk and trust f...TELKOMNIKA JOURNAL
Understanding the primary factors of internet banking (IB) acceptance is critical for both banks and users; nevertheless, our knowledge of the role of users’ perceived risk and trust in IB adoption is limited. As a result, we develop a conceptual model by incorporating perceived risk and trust into the technology acceptance model (TAM) theory toward the IB. The proper research emphasized that the most essential component in explaining IB adoption behavior is behavioral intention to use IB adoption. TAM is helpful for figuring out how elements that affect IB adoption are connected to one another. According to previous literature on IB and the use of such technology in Iraq, one has to choose a theoretical foundation that may justify the acceptance of IB from the customer’s perspective. The conceptual model was therefore constructed using the TAM as a foundation. Furthermore, perceived risk and trust were added to the TAM dimensions as external factors. The key objective of this work was to extend the TAM to construct a conceptual model for IB adoption and to get sufficient theoretical support from the existing literature for the essential elements and their relationships in order to unearth new insights about factors responsible for IB adoption.
Efficient combined fuzzy logic and LMS algorithm for smart antennaTELKOMNIKA JOURNAL
The smart antennas are broadly used in wireless communication. The least mean square (LMS) algorithm is a procedure that is concerned in controlling the smart antenna pattern to accommodate specified requirements such as steering the beam toward the desired signal, in addition to placing the deep nulls in the direction of unwanted signals. The conventional LMS (C-LMS) has some drawbacks like slow convergence speed besides high steady state fluctuation error. To overcome these shortcomings, the present paper adopts an adaptive fuzzy control step size least mean square (FC-LMS) algorithm to adjust its step size. Computer simulation outcomes illustrate that the given model has fast convergence rate as well as low mean square error steady state.
Design and implementation of a LoRa-based system for warning of forest fireTELKOMNIKA JOURNAL
This paper presents the design and implementation of a forest fire monitoring and warning system based on long range (LoRa) technology, a novel ultra-low power consumption and long-range wireless communication technology for remote sensing applications. The proposed system includes a wireless sensor network that records environmental parameters such as temperature, humidity, wind speed, and carbon dioxide (CO2) concentration in the air, as well as taking infrared photos.The data collected at each sensor node will be transmitted to the gateway via LoRa wireless transmission. Data will be collected, processed, and uploaded to a cloud database at the gateway. An Android smartphone application that allows anyone to easily view the recorded data has been developed. When a fire is detected, the system will sound a siren and send a warning message to the responsible personnel, instructing them to take appropriate action. Experiments in Tram Chim Park, Vietnam, have been conducted to verify and evaluate the operation of the system.
Wavelet-based sensing technique in cognitive radio networkTELKOMNIKA JOURNAL
Cognitive radio is a smart radio that can change its transmitter parameter based on interaction with the environment in which it operates. The demand for frequency spectrum is growing due to a big data issue as many Internet of Things (IoT) devices are in the network. Based on previous research, most frequency spectrum was used, but some spectrums were not used, called spectrum hole. Energy detection is one of the spectrum sensing methods that has been frequently used since it is easy to use and does not require license users to have any prior signal understanding. But this technique is incapable of detecting at low signal-to-noise ratio (SNR) levels. Therefore, the wavelet-based sensing is proposed to overcome this issue and detect spectrum holes. The main objective of this work is to evaluate the performance of wavelet-based sensing and compare it with the energy detection technique. The findings show that the percentage of detection in wavelet-based sensing is 83% higher than energy detection performance. This result indicates that the wavelet-based sensing has higher precision in detection and the interference towards primary user can be decreased.
A novel compact dual-band bandstop filter with enhanced rejection bandsTELKOMNIKA JOURNAL
In this paper, we present the design of a new wide dual-band bandstop filter (DBBSF) using nonuniform transmission lines. The method used to design this filter is to replace conventional uniform transmission lines with nonuniform lines governed by a truncated Fourier series. Based on how impedances are profiled in the proposed DBBSF structure, the fractional bandwidths of the two 10 dB-down rejection bands are widened to 39.72% and 52.63%, respectively, and the physical size has been reduced compared to that of the filter with the uniform transmission lines. The results of the electromagnetic (EM) simulation support the obtained analytical response and show an improved frequency behavior.
Deep learning approach to DDoS attack with imbalanced data at the application...TELKOMNIKA JOURNAL
A distributed denial of service (DDoS) attack is where one or more computers attack or target a server computer, by flooding internet traffic to the server. As a result, the server cannot be accessed by legitimate users. A result of this attack causes enormous losses for a company because it can reduce the level of user trust, and reduce the company’s reputation to lose customers due to downtime. One of the services at the application layer that can be accessed by users is a web-based lightweight directory access protocol (LDAP) service that can provide safe and easy services to access directory applications. We used a deep learning approach to detect DDoS attacks on the CICDDoS 2019 dataset on a complex computer network at the application layer to get fast and accurate results for dealing with unbalanced data. Based on the results obtained, it is observed that DDoS attack detection using a deep learning approach on imbalanced data performs better when implemented using synthetic minority oversampling technique (SMOTE) method for binary classes. On the other hand, the proposed deep learning approach performs better for detecting DDoS attacks in multiclass when implemented using the adaptive synthetic (ADASYN) method.
The appearance of uncertainties and disturbances often effects the characteristics of either linear or nonlinear systems. Plus, the stabilization process may be deteriorated thus incurring a catastrophic effect to the system performance. As such, this manuscript addresses the concept of matching condition for the systems that are suffering from miss-match uncertainties and exogeneous disturbances. The perturbation towards the system at hand is assumed to be known and unbounded. To reach this outcome, uncertainties and their classifications are reviewed thoroughly. The structural matching condition is proposed and tabulated in the proposition 1. Two types of mathematical expressions are presented to distinguish the system with matched uncertainty and the system with miss-matched uncertainty. Lastly, two-dimensional numerical expressions are provided to practice the proposed proposition. The outcome shows that matching condition has the ability to change the system to a design-friendly model for asymptotic stabilization.
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...TELKOMNIKA JOURNAL
Many systems, including digital signal processors, finite impulse response (FIR) filters, application-specific integrated circuits, and microprocessors, use multipliers. The demand for low power multipliers is gradually rising day by day in the current technological trend. In this study, we describe a 4×4 Wallace multiplier based on a carry select adder (CSA) that uses less power and has a better power delay product than existing multipliers. HSPICE tool at 16 nm technology is used to simulate the results. In comparison to the traditional CSA-based multiplier, which has a power consumption of 1.7 µW and power delay product (PDP) of 57.3 fJ, the results demonstrate that the Wallace multiplier design employing CSA with first zero finding logic (FZF) logic has the lowest power consumption of 1.4 µW and PDP of 27.5 fJ.
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemTELKOMNIKA JOURNAL
The flaw in 5G orthogonal frequency division multiplexing (OFDM) becomes apparent in high-speed situations. Because the doppler effect causes frequency shifts, the orthogonality of OFDM subcarriers is broken, lowering both their bit error rate (BER) and throughput output. As part of this research, we use a novel design that combines massive multiple input multiple output (MIMO) and weighted overlap and add (WOLA) to improve the performance of 5G systems. To determine which design is superior, throughput and BER are calculated for both the proposed design and OFDM. The results of the improved system show a massive improvement in performance ver the conventional system and significant improvements with massive MIMO, including the best throughput and BER. When compared to conventional systems, the improved system has a throughput that is around 22% higher and the best performance in terms of BER, but it still has around 25% less error than OFDM.
Reflector antenna design in different frequencies using frequency selective s...TELKOMNIKA JOURNAL
In this study, it is aimed to obtain two different asymmetric radiation patterns obtained from antennas in the shape of the cross-section of a parabolic reflector (fan blade type antennas) and antennas with cosecant-square radiation characteristics at two different frequencies from a single antenna. For this purpose, firstly, a fan blade type antenna design will be made, and then the reflective surface of this antenna will be completed to the shape of the reflective surface of the antenna with the cosecant-square radiation characteristic with the frequency selective surface designed to provide the characteristics suitable for the purpose. The frequency selective surface designed and it provides the perfect transmission as possible at 4 GHz operating frequency, while it will act as a band-quenching filter for electromagnetic waves at 5 GHz operating frequency and will be a reflective surface. Thanks to this frequency selective surface to be used as a reflective surface in the antenna, a fan blade type radiation characteristic at 4 GHz operating frequency will be obtained, while a cosecant-square radiation characteristic at 5 GHz operating frequency will be obtained.
Reagentless iron detection in water based on unclad fiber optical sensorTELKOMNIKA JOURNAL
A simple and low-cost fiber based optical sensor for iron detection is demonstrated in this paper. The sensor head consist of an unclad optical fiber with the unclad length of 1 cm and it has a straight structure. Results obtained shows a linear relationship between the output light intensity and iron concentration, illustrating the functionality of this iron optical sensor. Based on the experimental results, the sensitivity and linearity are achieved at 0.0328/ppm and 0.9824 respectively at the wavelength of 690 nm. With the same wavelength, other performance parameters are also studied. Resolution and limit of detection (LOD) are found to be 0.3049 ppm and 0.0755 ppm correspondingly. This iron sensor is advantageous in that it does not require any reagent for detection, enabling it to be simpler and cost-effective in the implementation of the iron sensing.
Impact of CuS counter electrode calcination temperature on quantum dot sensit...TELKOMNIKA JOURNAL
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
A progressive learning for structural tolerance online sequential extreme lea...TELKOMNIKA JOURNAL
This article discusses the progressive learning for structural tolerance online sequential extreme learning machine (PSTOS-ELM). PSTOS-ELM can save robust accuracy while updating the new data and the new class data on the online training situation. The robustness accuracy arises from using the householder block exact QR decomposition recursive least squares (HBQRD-RLS) of the PSTOS-ELM. This method is suitable for applications that have data streaming and often have new class data. Our experiment compares the PSTOS-ELM accuracy and accuracy robustness while data is updating with the batch-extreme learning machine (ELM) and structural tolerance online sequential extreme learning machine (STOS-ELM) that both must retrain the data in a new class data case. The experimental results show that PSTOS-ELM has accuracy and robustness comparable to ELM and STOS-ELM while also can update new class data immediately.
Electroencephalography-based brain-computer interface using neural networksTELKOMNIKA JOURNAL
This study aimed to develop a brain-computer interface that can control an electric wheelchair using electroencephalography (EEG) signals. First, we used the Mind Wave Mobile 2 device to capture raw EEG signals from the surface of the scalp. The signals were transformed into the frequency domain using fast Fourier transform (FFT) and filtered to monitor changes in attention and relaxation. Next, we performed time and frequency domain analyses to identify features for five eye gestures: opened, closed, blink per second, double blink, and lookup. The base state was the opened-eyes gesture, and we compared the features of the remaining four action gestures to the base state to identify potential gestures. We then built a multilayer neural network to classify these features into five signals that control the wheelchair’s movement. Finally, we designed an experimental wheelchair system to test the effectiveness of the proposed approach. The results demonstrate that the EEG classification was highly accurate and computationally efficient. Moreover, the average performance of the brain-controlled wheelchair system was over 75% across different individuals, which suggests the feasibility of this approach.
Adaptive segmentation algorithm based on level set model in medical imagingTELKOMNIKA JOURNAL
For image segmentation, level set models are frequently employed. It offer best solution to overcome the main limitations of deformable parametric models. However, the challenge when applying those models in medical images stills deal with removing blurs in image edges which directly affects the edge indicator function, leads to not adaptively segmenting images and causes a wrong analysis of pathologies wich prevents to conclude a correct diagnosis. To overcome such issues, an effective process is suggested by simultaneously modelling and solving systems’ two-dimensional partial differential equations (PDE). The first PDE equation allows restoration using Euler’s equation similar to an anisotropic smoothing based on a regularized Perona and Malik filter that eliminates noise while preserving edge information in accordance with detected contours in the second equation that segments the image based on the first equation solutions. This approach allows developing a new algorithm which overcome the studied model drawbacks. Results of the proposed method give clear segments that can be applied to any application. Experiments on many medical images in particular blurry images with high information losses, demonstrate that the developed approach produces superior segmentation results in terms of quantity and quality compared to other models already presented in previeous works.
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...TELKOMNIKA JOURNAL
Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It is categorized as a brain disorder due to its impact on the brain. Various methods such as electroencephalography (EEG), functional magnetic resonance imaging (FMRI), and magnetoencephalography (MEG) can capture brain activities and structures. EEG signals provide valuable insights into neurological disorders, including drug addiction. Accurate classification of drug addiction from EEG signals relies on appropriate features and channel selection. Choosing the right EEG channels is essential to reduce computational costs and mitigate the risk of overfitting associated with using all available channels. To address the challenge of optimal channel selection in addiction detection from EEG signals, this work employs the shuffled frog leaping algorithm (SFLA). SFLA facilitates the selection of appropriate channels, leading to improved accuracy. Wavelet features extracted from the selected input channel signals are then analyzed using various machine learning classifiers to detect addiction. Experimental results indicate that after selecting features from the appropriate channels, classification accuracy significantly increased across all classifiers. Particularly, the multi-layer perceptron (MLP) classifier combined with SFLA demonstrated a remarkable accuracy improvement of 15.78% while reducing time complexity.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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the array is excited while all others elements in that array terminated with matched loads [2-6].
AEP is investigated in detail in order to estimate the far field pattern of the antenna array. It is
because the mutual coupling is considered and it is an accurate method to synthesize the far
field pattern.
In addition, beam steering and null positioning are another advantages of antenna
arrays. Beam steering is important in adaptive environment such as in big city in order to direct
the main beam to the desired user. Null positioning on the other hand, can be placed in order to
cancel the interference from other users. In addition, there is a problem to optimize the desired
amplitude and phase density and one way that can be applied to find the optimum solution by
using the optimization method for beam steering. Many researchers considered array factor
employing Matrix Inversion and IDFT [6], single neural neuron network beamformer [7] and self
adaptive differential evolution technique [8] for beam steering. However, the works do not
consider mutual coupling effect. On the other hand, beam steering also requires beamforming
networks (either passive or active) such as Butler [9] and Rotman [10] networks in order to
provide different amplitude and phase for each element of the antenna array.
Thus, in this paper, a design of half wave dipole antenna at 2.45 GHz is used to form an
array and was constructed by using Computer Simulation Technology (CST). The study
involves investigation of coupling effect using the AEP. The radiation pattern of pattern
multiplication method has been compared with finit5e integration technique using Matlab and
CST respectively. Then, the excitation of antenna array is optimized and the beam of 3x3
antenna array has been steered to 60° using 3 techniques; Uniform, Chebyshev and Binomial
distribution. The paper is organized as follows: Section 2 discusses the research method to
investigate the active element pattern and its effect to the beam steering antenna array. The
comparison of AEP of centre and edge fed also will be presented. Section 3 presents the result
and analysis involving the active element pattern and pattern multiplication method. It also
demonstrates the capability of antenna array to steer the beam i.e. to 60° using three different
methods; Uniform, Chebyshev and Binomial distribution. Section 4 concludes the investigation
of the active element pattern, pattern multiplication and future works of this research.
2. Research Method
Figure 1 presents the methodology of this paper. In overall, the radiation pattern of
antenna arrays are governed by the mutual coupling effect among the elements. Where the
amount of coupling depends on the radiation characteristics, separation between elements,
number of elements and relative orientation of elements. This will be investigated further using
an array of dipole antenna of NxN (where N=1, 3, 5, 7 and 9). Then, the optimization method to
steer the beam using Uniform, Chebyshev and Binomial distribution has been performed for 3x3
antenna array. The simulation of the antenna array is done by using CST and MATLAB
software.
2.1 Active Element Pattern
The mutual coupling happened when two or more radiating antenna are placed near to
each other. The effect will increase as the distance between to elements increased. The energy
has been transferred between from one element to the neighboring elements and this is called
mutual coupling. Previous works calculating the total array pattern by performing pattern
multiplication method. It is a conventional method which does not consider coupling effect.
However, this can be mitigate using active element pattern (AEP). Active element pattern or
AEP is a radiation pattern when one radiating element is driven and all the others are
terminated (passive) with matching load. The far field pattern of an antenna array can be
considered as the superposition of electric field radiated by every element in the array. So the
total field can be calculated with following formula [3];
( ) ∑ ( ) (2)
Where ( ) defines the total electric field radiated by the array, is the feed voltage
applied to the nth element and N is the number of voltage sources applied to the array. The set
( ) includes the effect of mutual coupling and it is known as the exact active element
pattern as it is calculated or measured once for each element.
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TELKOMNIKA Vol. 16, No. 4, August 2018 : 1542-1550
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Figure 1. Research methodology
The active element pattern becomes accurate as the number of element increases by
reducing the edge effect [11]. It is because the usage of the AEP by approximating it as equal
for each element, then the pattem of the fully excited array can be expressed as the product of
the active element factor and the array factor. In other words, the AEP replaces the element
pattern (in equation (1)) and is written as:
(3)
However, the AEP is not equal between antenna elements due to the edge effects of
the elements located at the end of antenna arrays. This happens due to the neighboring
antenna elements which are different for each antenna especially the element which is
positioned at the centre and at the edge of an array. Thus, the edge effect of AEP can be
reduced by increasing the number of elements in antenna array. As a result, the ratio of the total
of the edge elements will be smaller compared to the total elements of antenna. The difference
of the AEP between antenna placed at the centre and at the edge elements will be analysed
and compared for dipole antenna array.
In this research, a half-wave dipole is used as basic elements to investigate the AEP
method. A dipole antenna is designed at 2.45GHz using CST. Then the antenna array is
constructed by combination of the designed dipole antenna with variation of parameters. The
radiation pattern of the antenna array changes due to the increase of the number of
elements (N), spacing (d), and excitation phase (β) of the antenna array.
Design of dipole antenna array using CST
Obtain and investigate the active elment pattern (AEP)
method
Calculate pattern multiplication (MATLAB)
Comparison between pattern multiplication methods and
finite integration techniques (CST) .
Optimize a 3x3 dipole antenna array for beam steering. The beam
steering is performed using Uniform, Chebyshev and Binomial
distribution.
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Beam Steering Using the Active Element Pattern of Antenna Array (Norun Abdul Malek)
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The AEP is applied to the N=1, 3, 5, 7 and 11 of linear array and N×N (N=1, 3, 5, 7, 11)
of planar array that has been constructed in CST. The active element is applied to the single
antenna element located at the center-fed and also to the edge-fed of an antenna array. In other
words, there is only one element that active in while others are terminated with their impedance
of 73ohm. The array is compared with the increased of the number of elements in row and
column. Then, comparison is made based on the different between center and the edge feed of
the active element pattern of the antenna array.
2.2 Comparison between AEP and Pattern Multiplication Techniques
The array pattern of dipole antenna array has been calculated using AEP and pattern
multiplication method for comparison. It was reported from [12] that AEP (equation (2)) is more
accurate compared to the pattern multiplication (equation (1)) due to the coupling effect
accounted in AEP.
2.3 Optimization of the Pattern of Dipole Antenna Array
Later, the array performance to beam steering of the dipole antenna array has been
optimized using uniform, binomial, and Dolph-Chebyshev methods. Uniform distribution refers to
the equal amplitude with a progressive phase that feeding each of the elements of the antenna
array [1]. Eventhough it gives the highest gain but it produces high side lobes. For binomial
distribution, the amplitude of each element of antenna array has been weighted according to
binomial function [1]. It provides low side lobe level but low gain.
Dolph’s procedure has been performed by matching the Fourier polynomial with the
terms of like degree of a Tchebyscheff polynomial [13]. This gives the optimum source
amplitude distribution for a specific SLL with all side lobes of the same level. For further studies
on the effect of the active element pattern, the comparison between the pattern multiplication
method using MATLAB and active element pattern from CST has been performed.
3. Results and Analysis
Increasing the number of element (N) of the dipole antenna causes the width of the
main lobes becomes narrower. Plus, the number of side lobes increased. The side lobes
represent the power radiated or received in potentially unwanted directions. The number of side
lobes is increased when the spacing (d) between elements increased. The grating lobes also
stated to occur when the spacing of the element with its neighbor equal or greater than λ.
Generally element spacing is kept to be smaller than 0.5λ to avoid grating lobes. However, the
effect of mutual coupling is higher as the energy is transferred between elements. Meanwhile,
the phase shift (β) also plays a significant role as it involves in beam steering.
3.1 Investigation of AEP on Dipole Antenna Arrays
The parameters such as the spacing (d) between elements has been decided to be
0.25λ in x and y-direction to form a planar array facing towards z-direction, as to observed
coupling effect between elements. The active element pattern method has been applied by
using a single element in the array which is excited while all others elements in that array
terminated with its impedance which is 73ohm.
3.1.1. Effect on the Center-fed and Edge-fed Element Pattern
Figure 2 shows the assembly of the antenna array using the active element pattern
technique (AEP) by changing the position of the active elements at the center and edge of the
antenna array. The total number of elements is fixed to 121 elements (11x11 elements). All
elements of the antenna array ports generated with reference impedance at 73ohm. It is
observed in Figures 3 and 4 that the AEP is different when the active element is positioned at
the center as compared at the edge. It is because due to the neighboring element of the center
fed (which is surrounded by 4 elements) are differed compared to edge fed (surrounded by only
2 elements). Therefore, the edge effect will bring inaccuracy to the calculation of the unit AEP
because unit AEP neglecting the edge effect. This behavior may be observed in Figure 4(b) at
the pattern of AEP is cut at theta=90° due to the four neighboring elements of centre feed AEP
instead of 2 neighboring elemnents of edge feed AEP.
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Figure 2.11x11 planar array with center-fed and edge-fed
Figure 3. 2D (Cartesian plot) farfield pattern at phi=90°
Figure 4. 2D (Polar plot) farfield pattern at (a) phi=90° and (b) theta=90° between center feed
(green curve) and edge feed (red curve).
3.1.2. Effect on the Increasing Numbers of the Antenna Array
Figure 5 shows the assembled of the antenna array by applying only one element is
active and others are terminated with their impedance while increasing the numbers of the
elements in planar array along x and y direction, which is facing towards z-direction. In this
project, an NxN (N=1, 3, 5, 7, 11) planar array, with uniform spacing is construct using CST. All
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elements of the antenna array ports generated with reference impedance at 73ohm. It is
observed that as the number of element, N increases, the unit AEP varies and becoming more
accurate as the unit AEP only can be applied by assuming an infinite number of elements, N.
Figure 5. NxN planar array, with uniform spacing, where one element is active and others are
terminated
Figure 6 shows the results on the radiation pattern obtained from CST simulation on the
changes of the number of elements in planar array. It is observed that there are a few
differences as number of elements increased. The similarity among them are pretty high as the
number of the elements increased. It is because by activating just one element the antenna
works as single antenna and produce omnidirectional pattern. As result of the increase of the
number of elements in planar array, the angular separation of half points of radiation pattern
which is the half power beam width (HPBW) is decrease and increased highest side lobe level.
Figure 6. Radiation pattern of NxN antenna array
3.2 Comparison between AEP and Pattern Multiplication Techniques
Table 1 shows the comparison of the 2D radiation pattern result from pattern
multiplication using MATLAB and active element pattern from CST. The linear array by
increasing the number of elements is used, the spacing of the element between used is 0.25λ.
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As the result, the simulation using CST has include the active element pattern while the pattern
multiplication has been performed using MATLAB to obtain the total field. It is observed that
there are minimal difference especially at the side lobe levels. This is because, the AEP method
includes the mutual coupling between the elements which increase the accuracy of the farfield
pattern.
Table 1. Comparison on 2D radiation pattern at theta=90° and spacing is 0.25λ
Number of element=2. The pattern multiplication method
is shown using blue line and CST is shown in red line.
Number of element=3. The pattern multiplication
method is shown using blue line and CST is shown in
cyan line.
Number of element=5. The pattern multiplication method
is shown using blue line and CST is shown in cyan line.
Number of element=7. The pattern multiplication
method is shown using blue line and CST is shown in
cyan line.
3.3 Optimization of the Pattern of Dipole Antenna Array
The beam steering is important in adaptive environment such as in big city in order to
direct the main beam to the desired user. In addition, there is a problem to optimize the desired
amplitude and phase density and one way that can be applied to find the optimum solution by
using the optimization method for beam steering. The comparison of three optimization methods
which are uniform distribution, binomial and Chebyshev has been performed using CST. The
dipole antenna array of 3x3 elements are chosen with fixed parameters. The excitation of the
array is positioning at theta scan of 90° and phi of 60° and relative side lobe level is -20dB
respectively. It is observed that the beams have been successfully steered towards 60° using
the optimization techniques; 1) uniform distribution, 2) Chebyshev and 3) Binomial.
Table 2 illustrated the radiation pattern results of the three techniques. In addition,
Table 3 summarized the performance of the optimization method using Uniform distribution,
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Chebyshev and Binomial in CST. From those three distribution on 3x3 array, uniform distribution
yields the lowest directivity with the highest side lobe levels. Binomial distribution leads to lowest
side lobe level with the highest directivity which is the most desirable compared to the other two
techniques. On the other hand, Chebyshev providing an intermediate values of directivity and
side lobe levels.
Table 2. Comparison on beam steering techniques using Uniform Distribution, Chebyshev and
Binomial when the beam is steered towards theta=90° and phi=60°.
Method 2D Radiation Pattern 3D Radiation Pattern
Uniform Distribution
Chebyshev
Binomial
Table 3: Performance of beamsteering techniques (Uniform, Chebyshev and Binomial
distribution) of 3x3 dipole array when the beam is steered towards theta=90° and phi=60°.
Method Half power beam width
(HPBW)
Highest side lobe
levels (dB)
Directivity
Uniform
Distribution
61.4° -9.1 dB 3.007 dB
Chebyshev 66.2° -17.3 dB 8.604 dB
Binomial 69.0° -18.0 dB 9.788 dB
4. Conclusion
The radiation pattern of the antenna array changes due to the variation of parameters.
Next, the active element pattern is obtained using one active element while others terminated.
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Then as comparison, the active element pattern is feasible at center-fed rather than edge-fed of
the active element pattern of the antenna array. In addition, the comparison has been made
between pattern multiplication using MATLAB and active element pattern using Computer
Simulation Technology (CST). Lastly, the array performance of beam steering for the dipole
antenna array have been optimized using Uniform, Binomial, and Dolph-Chebyshev methods.
Whereas, uniform amplitude array which is also known as uniform distribution has the smallest
half power beam width (HPBW) followed by Chebyshev and Binomial array. On the other hand,
binomial distribution has the smallest side lobes level followed by Chebyshev and Uniform
distribution. The highest directivity of the 3x3 dipole array has been leads by Binomial,
Chebyshev and Uniform distribution.
ACKNOWLEDGEMENT
The author wishes to thank International Islamic University Malaysia (IIUM) for
supporting the dissemination of this research. This research was supported by Ministry of
Education Malaysia through Research Initiative Grant Scheme (RIGS) 2016.
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