Abstract In this paper, neural network model has been used to estimation of resonance frequency of a coaxial feed C-slotted Microstrip Antenna. The Multi-Layer Perceptron Feed forward back Propagation (MLPFFBP) and Radial basis function Artificial Neural Network (RBFANN) have been used to implement the neural network model. A relative performance analysis of the proposed neural network for different training algorithms. Number of neurons and number of hidden layer is also carried out for estimating the resonance frequency. The method of moment (MOM) based IE3D software was used to generate data dictionary for training and validation set of ANN. The results obtain using ANN are compared with simulation feeding and found quite satisfactory and also it is concluded that RBFANN network is more accurate and fast compared to MLPFFBP network algorithm. Index Terms: Artificial Neural Network, C slot, Microstrip Antenna, Multilayer Feed Forward Networks, Radial basis function Artificial Neural Network, Resonance frequency.
Artificial intelligence in the design of microstrip antennaRaj Kumar Thenua
This work presents a Neural Network model for the design of Microstrip Antenna for a desired frequency between 3.5 GHz to 5.5 GHz. The results obtained from the proposed method are compared with the results of IE3D and are found to be in good agreement. The advantage of the proposed method lies with the fact that the various parameters required for the design of specific Microstrip antenna at a particular frequency of interest can be easily extracted without going into the rigorous time consuming, iterative design procedures using a costly software package. In this work, a general design procedure is suggested for the Microstrip antennas using artificial neural networks and this is demonstrated using the rectangular patch geometry.
STUDY OF ARRAY BI-CONICAL ANTENNA FOR DME APPLICATIONSijwmn
This paper introduces a new configuration of array bi-conical antenna to enhance the gain of an antenna for Distance Measuring Equipment (DME) avionic system. Due to its large size, the antenna can be placed in terrestrials DME stations. The antenna consists of the bi-conical elements placed in a linear configuration. The simulated maximum gain is 10.2dB, the antenna operates in the DME band (960 – 1215 MHz). Al the simulations are performed with CADFEKO a Method of Moments based Solver.
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.
Artificial intelligence in the design of microstrip antennaRaj Kumar Thenua
This work presents a Neural Network model for the design of Microstrip Antenna for a desired frequency between 3.5 GHz to 5.5 GHz. The results obtained from the proposed method are compared with the results of IE3D and are found to be in good agreement. The advantage of the proposed method lies with the fact that the various parameters required for the design of specific Microstrip antenna at a particular frequency of interest can be easily extracted without going into the rigorous time consuming, iterative design procedures using a costly software package. In this work, a general design procedure is suggested for the Microstrip antennas using artificial neural networks and this is demonstrated using the rectangular patch geometry.
STUDY OF ARRAY BI-CONICAL ANTENNA FOR DME APPLICATIONSijwmn
This paper introduces a new configuration of array bi-conical antenna to enhance the gain of an antenna for Distance Measuring Equipment (DME) avionic system. Due to its large size, the antenna can be placed in terrestrials DME stations. The antenna consists of the bi-conical elements placed in a linear configuration. The simulated maximum gain is 10.2dB, the antenna operates in the DME band (960 – 1215 MHz). Al the simulations are performed with CADFEKO a Method of Moments based Solver.
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.
Design and Analysis of Microstrip Patch Antenna with Optimization for Wireles...ijsrd.com
In this paper, design of conventional Rectangular patch Microstrip antenna has been proposed and its performance is analyzed. The design parameters of antenna are selected to achieve compact dimensions as well as best possible characteristics such as high gain, increased bandwidth with minimum return loss. Hence improved design has been demonstrated over elementary one. These antennas have been designed at 2.4GHz which enables its usage in wireless communication domain such as Wireless Local Area Network (WLAN). The antenna design and performance are analyzed using Ansoft HFSS software. These antennas can be used for many wireless communication systems.
Design of Reconfigurable Microstrip Patch Antenna for WLAN ApplicationEditor IJMTER
In this paper we propose a rectangular microstrip patch antenna with inset fed which can
operate at 2.4 GHz (IEEE 802.11b) & 5.8 GHz (IEEE 802.11a) WLAN applications. Various slot is
cut into the antenna structure which changes the surface current path resulting in dual resonant
frequency. Further by embedding any switch into a slot, reconfiguration can be achieved i.e. the
antenna can only be used in unlicensed 2.4 GHz band. The achieved directivity is greater than 5db and
the bandwidth obtained is much greater than the required bandwidth. The proposed antenna is
simulated using High Frequency Structure Simulator.
E shape microstrip patch antenna design for wimax applications, international...Sk Sohag
This paper presents the design & simulation of E-shape microstrip patch antenna exhibiting wideband operating frequencies for various wireless applications. This antenna will provide the wide bandwidth which is required in various applications like remote sensing, biomedical application, mobile radio satellite, wireless communication etc. The coaxial feed or probe feed technique is used in the experiment. The performance of the designed antenna was analyzed in terms of bandwidth, gain, return loss, VSWR, and radiation pattern. The design is optimized to meet the best possible result. The proposed antenna is designed by air substrate which has a dielectric constant of 1.0006. The results show the wideband antenna is able to operate from 8.80 to 13.49 GHz frequency band with optimum frequency at 8.73 GHz.
Miniaturized Microstrip Patch Antenna Array at 3.8 GHz for WiMax Applicationiosrjce
The aim of this work is to miniaturize microstrip patch antenna array resonating at 3.8 GHz
suitable for WiMax application using defected ground structure (DGS).The DGS has been employed to shift the
resonance frequency of an initial microstrip antenna array from 5.2 GHz to 3.8 GHz by disturbing the
antenna’s current distribution. The proposed DGS is integrated in the ground plane under the patch antenna
array for size reduction. Finally, the miniaturization up to 45% with respect to the conventional microstrip
antenna is successfully accomplished. A prototype of the antenna was fabricated with the RT-Duriod substrate.
This technique has been validated experimentally and measured results were found to be in good agreement
with simulated results.
Design of a Rectangular Microstrip Patch Antenna Using Inset Feed TechniqueIOSR Journals
Abstract : Today in the world of communication systems the most widely researched area is of wireless technology and a study of communication systems is incomplete without an understanding of the operation of the antennas. In the recent years of development in communication systems a need for the development of lightweight, compact and cost-effective antennas that are capable of maintaining high performance over a wide spectrum of frequencies. This technological trend has focused much effort into the design of a Micro strip patch antenna. In this work, the simulation tool of IE3D is used to study the performance and gain of the rectangular Microstrip patch antenna. The design and simulation of patch antennas is widely used in mobile cellular phones today, and our emphasis in this work is on optimization of a 2.4 GHz rectangular Microstrip patch antenna. The return loss and the various gain plots have been studied along with the radiation patterns. Keywords: Gain, Inset feed, Patch antenna, Radiation pattern, Return Loss.
Numerical parametric study on interval shift variation in simo sstd technique...eSAT Journals
Abstract SSTD (Single Station Time Domain) technique is one of the efficient methods used to extract modal parameters of a structure. Instead of extracting the parameters in frequency domain by utilising Fast Fourier Transform (FFT) as used by some other methods, this technique only relies on free decay responses to obtain the required parameters. In this paper, a parametric study on time shift interval on algorithm method is investigated. The accuracy assessment is made using simulated analytical data with known properties where percentage error between the results of simulated and this method can be calculated and compared. Keywords: SSTD (Single Station Time Domain), FFT, EMA
Novel High-Gain Narrowband Waveguide-Fed Filtenna using Genetic Algorithm Yayah Zakaria
Filtenna is an antenna with filtering feature. There are many ways to design a filtenna. In this paper, a high-gain narrowband waveguide-fed aperture filtenna has been proposed and designed. A patterned plane, which is designed using genetic algorithm has been used at the open end of the waveguide fed, mounted on a conducting ground plane. To design the patterned pattern, magnetic field integral equation of the structure has been derived, so it has been solved using method of moments. The proposed filtenna has been simulated with HFSS that confirms the results obtained by method of moments. Finally, an unprinted dielectric as a superstrate has been used to enhance the gain of the filtenna. The filtenna bandwidth is 1.76% (160 MHz) which has the gain of 15.91 dB at the central frequency
of 9.45 GHz.
Designing of Rectangular Microstrip Patch Antenna for C-Band ApplicationIJMER
Microstrip patch antenna becoming very popular day by day because of its ease of analysis, fabrication, low cast, light weight easy to feed and their attractive radiation characteristics. In this paper we proposed the designed of rectangular microstrip patch antenna to operate at frequency range 5-6 GHz. The simulation is carried out using high frequency simulation structure (HFSS) program.
The antenna is based on the modified epoxy substrate with dielectric constant of approximate 4.4. After simulation rectangular microstrip antenna performs characteristics such as VSWR & return loss smith chart
The presentation is about Adaptive Beamforming for high data-rate applications. Analog beamforming, which is considered a cost effective solution for consumer devices are investigated. Two adaptive analog beamforming algorithms, i.e., a well-known perturbation-based and dmr-based which overcomes the drawbacks of perturbation-based algorithm are discussed in-detail and their performance comparisons are made with the help of computer simulations. Also variation of single-port structure is considered and it's benefits are exploited with the help of modified analog beamforming algorithms.
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...IJREST
ABSTRACT
In this paper, a novel method of bandwidth estimation using variation of finger length on interdigital band pass filter has been presented using artificial neural networks for desired frequency range between 1.5--3.5GHz. Interdigital filter is multifinger periodic structure which offers compact filter design space. An ANN model has been developed and tested for estimating the cut off frequency of band pass filter and performance is evaluated in terms of mean square error and concluded that RBF network is more accurate than MLPFFBP. The proposed method of design provides the exact bandwidth for particular finger length of filter without using painstaking calculation.
Keyword - Artificial neural networks (ANN), Multi layer Perceptron feed Forward back propagation (MLPFFBP), Interdigital
In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity ε_r to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity 〖(ε〗_r) with a good accuracy.
Face recognition using gaussian mixture model & artificial neural networkeSAT Journals
Abstract
Face recognition is a non-contact and friendly biometric identification technology. It has broad application prospects in the
military, public security and economic security. In this work, we also consider illumination variable database. The images have
taken from far distance and do not consider the close view face of the individual as in most of the face databases, clear face view
has been considered. In this first we located face as region of interest and then LBP and LPQ descriptors are used which is
illuminance invariant in nature. After this GMM has been used to reduce feature set by taking negative log-likelihood from each
LBP and LPQ descripted image histograms. After this ANN consumes stayed used for organization purposes. The investigational
consequencesshow excellent correctness rates in overall testing of input data.
Keywords: Illumination invariant, face recognition, LBP, LPQs,GMM,ANN
Design and Analysis of Microstrip Patch Antenna with Optimization for Wireles...ijsrd.com
In this paper, design of conventional Rectangular patch Microstrip antenna has been proposed and its performance is analyzed. The design parameters of antenna are selected to achieve compact dimensions as well as best possible characteristics such as high gain, increased bandwidth with minimum return loss. Hence improved design has been demonstrated over elementary one. These antennas have been designed at 2.4GHz which enables its usage in wireless communication domain such as Wireless Local Area Network (WLAN). The antenna design and performance are analyzed using Ansoft HFSS software. These antennas can be used for many wireless communication systems.
Design of Reconfigurable Microstrip Patch Antenna for WLAN ApplicationEditor IJMTER
In this paper we propose a rectangular microstrip patch antenna with inset fed which can
operate at 2.4 GHz (IEEE 802.11b) & 5.8 GHz (IEEE 802.11a) WLAN applications. Various slot is
cut into the antenna structure which changes the surface current path resulting in dual resonant
frequency. Further by embedding any switch into a slot, reconfiguration can be achieved i.e. the
antenna can only be used in unlicensed 2.4 GHz band. The achieved directivity is greater than 5db and
the bandwidth obtained is much greater than the required bandwidth. The proposed antenna is
simulated using High Frequency Structure Simulator.
E shape microstrip patch antenna design for wimax applications, international...Sk Sohag
This paper presents the design & simulation of E-shape microstrip patch antenna exhibiting wideband operating frequencies for various wireless applications. This antenna will provide the wide bandwidth which is required in various applications like remote sensing, biomedical application, mobile radio satellite, wireless communication etc. The coaxial feed or probe feed technique is used in the experiment. The performance of the designed antenna was analyzed in terms of bandwidth, gain, return loss, VSWR, and radiation pattern. The design is optimized to meet the best possible result. The proposed antenna is designed by air substrate which has a dielectric constant of 1.0006. The results show the wideband antenna is able to operate from 8.80 to 13.49 GHz frequency band with optimum frequency at 8.73 GHz.
Miniaturized Microstrip Patch Antenna Array at 3.8 GHz for WiMax Applicationiosrjce
The aim of this work is to miniaturize microstrip patch antenna array resonating at 3.8 GHz
suitable for WiMax application using defected ground structure (DGS).The DGS has been employed to shift the
resonance frequency of an initial microstrip antenna array from 5.2 GHz to 3.8 GHz by disturbing the
antenna’s current distribution. The proposed DGS is integrated in the ground plane under the patch antenna
array for size reduction. Finally, the miniaturization up to 45% with respect to the conventional microstrip
antenna is successfully accomplished. A prototype of the antenna was fabricated with the RT-Duriod substrate.
This technique has been validated experimentally and measured results were found to be in good agreement
with simulated results.
Design of a Rectangular Microstrip Patch Antenna Using Inset Feed TechniqueIOSR Journals
Abstract : Today in the world of communication systems the most widely researched area is of wireless technology and a study of communication systems is incomplete without an understanding of the operation of the antennas. In the recent years of development in communication systems a need for the development of lightweight, compact and cost-effective antennas that are capable of maintaining high performance over a wide spectrum of frequencies. This technological trend has focused much effort into the design of a Micro strip patch antenna. In this work, the simulation tool of IE3D is used to study the performance and gain of the rectangular Microstrip patch antenna. The design and simulation of patch antennas is widely used in mobile cellular phones today, and our emphasis in this work is on optimization of a 2.4 GHz rectangular Microstrip patch antenna. The return loss and the various gain plots have been studied along with the radiation patterns. Keywords: Gain, Inset feed, Patch antenna, Radiation pattern, Return Loss.
Numerical parametric study on interval shift variation in simo sstd technique...eSAT Journals
Abstract SSTD (Single Station Time Domain) technique is one of the efficient methods used to extract modal parameters of a structure. Instead of extracting the parameters in frequency domain by utilising Fast Fourier Transform (FFT) as used by some other methods, this technique only relies on free decay responses to obtain the required parameters. In this paper, a parametric study on time shift interval on algorithm method is investigated. The accuracy assessment is made using simulated analytical data with known properties where percentage error between the results of simulated and this method can be calculated and compared. Keywords: SSTD (Single Station Time Domain), FFT, EMA
Novel High-Gain Narrowband Waveguide-Fed Filtenna using Genetic Algorithm Yayah Zakaria
Filtenna is an antenna with filtering feature. There are many ways to design a filtenna. In this paper, a high-gain narrowband waveguide-fed aperture filtenna has been proposed and designed. A patterned plane, which is designed using genetic algorithm has been used at the open end of the waveguide fed, mounted on a conducting ground plane. To design the patterned pattern, magnetic field integral equation of the structure has been derived, so it has been solved using method of moments. The proposed filtenna has been simulated with HFSS that confirms the results obtained by method of moments. Finally, an unprinted dielectric as a superstrate has been used to enhance the gain of the filtenna. The filtenna bandwidth is 1.76% (160 MHz) which has the gain of 15.91 dB at the central frequency
of 9.45 GHz.
Designing of Rectangular Microstrip Patch Antenna for C-Band ApplicationIJMER
Microstrip patch antenna becoming very popular day by day because of its ease of analysis, fabrication, low cast, light weight easy to feed and their attractive radiation characteristics. In this paper we proposed the designed of rectangular microstrip patch antenna to operate at frequency range 5-6 GHz. The simulation is carried out using high frequency simulation structure (HFSS) program.
The antenna is based on the modified epoxy substrate with dielectric constant of approximate 4.4. After simulation rectangular microstrip antenna performs characteristics such as VSWR & return loss smith chart
The presentation is about Adaptive Beamforming for high data-rate applications. Analog beamforming, which is considered a cost effective solution for consumer devices are investigated. Two adaptive analog beamforming algorithms, i.e., a well-known perturbation-based and dmr-based which overcomes the drawbacks of perturbation-based algorithm are discussed in-detail and their performance comparisons are made with the help of computer simulations. Also variation of single-port structure is considered and it's benefits are exploited with the help of modified analog beamforming algorithms.
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...IJREST
ABSTRACT
In this paper, a novel method of bandwidth estimation using variation of finger length on interdigital band pass filter has been presented using artificial neural networks for desired frequency range between 1.5--3.5GHz. Interdigital filter is multifinger periodic structure which offers compact filter design space. An ANN model has been developed and tested for estimating the cut off frequency of band pass filter and performance is evaluated in terms of mean square error and concluded that RBF network is more accurate than MLPFFBP. The proposed method of design provides the exact bandwidth for particular finger length of filter without using painstaking calculation.
Keyword - Artificial neural networks (ANN), Multi layer Perceptron feed Forward back propagation (MLPFFBP), Interdigital
In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity ε_r to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity 〖(ε〗_r) with a good accuracy.
Face recognition using gaussian mixture model & artificial neural networkeSAT Journals
Abstract
Face recognition is a non-contact and friendly biometric identification technology. It has broad application prospects in the
military, public security and economic security. In this work, we also consider illumination variable database. The images have
taken from far distance and do not consider the close view face of the individual as in most of the face databases, clear face view
has been considered. In this first we located face as region of interest and then LBP and LPQ descriptors are used which is
illuminance invariant in nature. After this GMM has been used to reduce feature set by taking negative log-likelihood from each
LBP and LPQ descripted image histograms. After this ANN consumes stayed used for organization purposes. The investigational
consequencesshow excellent correctness rates in overall testing of input data.
Keywords: Illumination invariant, face recognition, LBP, LPQs,GMM,ANN
An Ant colony optimization algorithm to solve the broken link problem in wire...IJERA Editor
Aco is a well –known metahuristic in which a colony of artificial ants cooperates in explain Good solution to a combinational optimization problem. Wireless sensor consisting of nodes with limited power is deployed to gather useful information From the field. In wireless sensor network it is critical to collect the information in an energy efficient Manner.ant colony optimization, a swarm intelligence based optimization technique, is widely used In network routing. A novel routing approach using an ant colony optimization algorithm is proposed for wireless sensor Network consisting of stable nodes illustrative example details description and cooperative performance test result the proposed approach are included. The approach is also implementing to a small sized hardware component as a router chip simulation result show that proposed algorithm Provides promising solution allowing node designers to efficiency operate routing tasks.
Reflectivity Parameter Extraction from RADAR Images Using Back Propagation Al...IJECEIAES
Pattern recognition has been acknowledged as one of the promising research areas and it has drawn the awareness among many researchers since its existence at the beginning of the nineties. Multilayer Neural networks are used in pattern Recognition and classification based on the features derived from the input patterns. The Reflectivity information extracted from the Doppler Weather Radar (DWR) image helps in identifying the convective cloud type which has a strong relation to the precipitation rate. The reflectivity information is rooted in the DWR image with the help of colors and color bar is provided to distinguish among different reflectivity information. Artificial Neural network predicts the color based on the maximum likelihood estimation problem. This paper presents a best possible backpropagation algorithm for color identification in DWR images by comparing various backpropagation algorithms such as LevenbergMarquardt, Conjugate gradient, and Resilient back propagation etc.,. Pattern recognition using Neural networks presents better results compared to standard distance measures. It is observed that Levenberg-Marquardt backpropagation algorithm yields a regression value of 99% approximately and accuracy of 98%.
Artificial Neural Networks (ANNS) For Prediction of California Bearing Ratio ...IJMER
The behaviour of soil at the location of the project and interactions of the earth materials during and after construction has a major influence on the success, economy and safety of the work. Another complexity associated with some geotechnical engineering materials, such as sand and gravel, is the difficulty in obtaining undisturbed samples and time consuming involving skilled
technician. Knowledge of California Bearing Ratio (C.B.R) is essential in finding the road thickness. To cope up with the difficulties involved, an attempt has been made to model C.B.R in terms of Fine Fraction, Liquid Limit, Plasticity Index, Maximum Dry density, and Optimum Moisture content. A multi-layer perceptron network with feed forward back propagation is used to model varying the
number of hidden layers. For this purposes 50 soils test data was collected from the laboratory test
results. Among the test data 30 soils data is used for training and remaining 20 soils for testing using
60-40 distribution. The architectures developed are 5-4-1, 5-5-1, and 5-6-1. Model with 5-6-1 architecture is found to be quite satisfactory in predicting C.B.R of soils. A graph is plotted between
the predicted values and observed values of outputs for training and testing process, from the graph it
is found that all the points are close to equality line, indicating predicted values are close to observed
values
Artificial Neural Network in the Design of Rectangular Microstrip Antennaaciijournal
A simple design to compute accurate resonant frequencies and the electric fields of rectangular microstrip
antennas using artificial neural networks (ANN) is proposed. The ANN is developed to calculate the
frequency and antenna's field. ANN is designed using multilayer perceptron networks (MLP). The results
that were obtained accord the trained and tested data of ANN models. As a result, the ANN model is
presented as a substitutional method to the detailed electromagnetic design of rectangular microstrip
antenna.
Survey paper on adaptive beamforming lms,nlms and rls algorithms for smart an...eSAT Journals
Abstract
Smart antenna system is used to maximize the output power of signal in desired direction and minimize the power in unwanted direction. Smart antenna system consists of multiple numbers of elements. Basic concept in smart antenna technology is beam forming, it is mainly used to improve signal to noise ratio. Beam forming signal processing technique used in sensor arrays for directional signal transmission and reception. And it possible by combining the elements in phased array in such a way that signals at particular angles experiences constructive interference and others are destructive interferences. In smart antenna system we are using various algorithms to calculate the weights of smart antenna arrays to increase the output in desired direction and reduce the power in unwanted direction We are using different types of arrays i.e. linear array, circular array, planar array . Different algorithms are used to adjust the weights of the smart antenna system Basically Weights are nothing but Amplitude and phase of the signal. Adaptive algorithms update the weights of the array elements. LMS algorithm provides less convergence speed, and that is depends on the step size. LMS algorithm is widely used in adaptive filter due to its relative low computational complexity, good stability and relatively good robustness against the implementation errors. To improve the convergence rate NLMS algorithm is used. LMS algorithm having constant step size but in NLMS algorithm step size is depends on data at each iteration. Whereas RLS algorithm having minimum bit error rate but it required more computations than the LSM algorithm.
Keywords: Beamforming, smart antenna, complex weight, array geometry, Array factor
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.
Network Lifetime Enhancement by Node Deployment in WSNIJTET Journal
Abstract— The key challenge in wireless sensor network is network lifetime so it is necessary to increase the network lifetime. The work deals with the enhancement of the network lifetime for target coverage problem in wireless sensor network while deploying the sensor nodes. Initially sensor nodes and targets are placed randomly, where the targets are the not sensor nodes its external parameter. Network lifetime for this scenario is computed, where the sensing range and initial energy of the battery are assumed. Network lifetime is based on sensor nodes that monitor the targets and lifetime of battery. The randomly placed sensor nodes are redeployed using optimization algorithm called Artificial Bee Colony (ABC). The network lifetime for redeployed sensor nodes are computed and compared with randomly deployed sensor nodes.
Mechanical properties of hybrid fiber reinforced concrete for pavementseSAT Journals
Abstract
The effect of addition of mono fibers and hybrid fibers on the mechanical properties of concrete mixture is studied in the present
investigation. Steel fibers of 1% and polypropylene fibers 0.036% were added individually to the concrete mixture as mono fibers and
then they were added together to form a hybrid fiber reinforced concrete. Mechanical properties such as compressive, split tensile and
flexural strength were determined. The results show that hybrid fibers improve the compressive strength marginally as compared to
mono fibers. Whereas, hybridization improves split tensile strength and flexural strength noticeably.
Keywords:-Hybridization, mono fibers, steel fiber, polypropylene fiber, Improvement in mechanical properties.
Material management in construction – a case studyeSAT Journals
Abstract
The objective of the present study is to understand about all the problems occurring in the company because of improper application
of material management. In construction project operation, often there is a project cost variance in terms of the material, equipments,
manpower, subcontractor, overhead cost, and general condition. Material is the main component in construction projects. Therefore,
if the material management is not properly managed it will create a project cost variance. Project cost can be controlled by taking
corrective actions towards the cost variance. Therefore a methodology is used to diagnose and evaluate the procurement process
involved in material management and launch a continuous improvement was developed and applied. A thorough study was carried
out along with study of cases, surveys and interviews to professionals involved in this area. As a result, a methodology for diagnosis
and improvement was proposed and tested in selected projects. The results obtained show that the main problem of procurement is
related to schedule delays and lack of specified quality for the project. To prevent this situation it is often necessary to dedicate
important resources like money, personnel, time, etc. To monitor and control the process. A great potential for improvement was
detected if state of the art technologies such as, electronic mail, electronic data interchange (EDI), and analysis were applied to the
procurement process. These helped to eliminate the root causes for many types of problems that were detected.
Managing drought short term strategies in semi arid regions a case studyeSAT Journals
Abstract
Drought management needs multidisciplinary action. Interdisciplinary efforts among the experts in various fields of the droughts
prone areas are helpful to achieve tangible and permanent solution for this recurring problem. The Gulbarga district having the total
area around 16, 240 sq.km, and accounts 8.45 per cent of the Karnataka state area. The district has been situated with latitude 17º 19'
60" North and longitude of 76 º 49' 60" east. The district is situated entirely on the Deccan plateau positioned at a height of 300 to
750 m above MSL. Sub-tropical, semi-arid type is one among the drought prone districts of Karnataka State. The drought
management is very important for a district like Gulbarga. In this paper various short term strategies are discussed to mitigate the
drought condition in the district.
Keywords: Drought, South-West monsoon, Semi-Arid, Rainfall, Strategies etc.
Life cycle cost analysis of overlay for an urban road in bangaloreeSAT Journals
Abstract
Pavements are subjected to severe condition of stresses and weathering effects from the day they are constructed and opened to traffic
mainly due to its fatigue behavior and environmental effects. Therefore, pavement rehabilitation is one of the most important
components of entire road systems. This paper highlights the design of concrete pavement with added mono fibers like polypropylene,
steel and hybrid fibres for a widened portion of existing concrete pavement and various overlay alternatives for an existing
bituminous pavement in an urban road in Bangalore. Along with this, Life cycle cost analyses at these sections are done by Net
Present Value (NPV) method to identify the most feasible option. The results show that though the initial cost of construction of
concrete overlay is high, over a period of time it prove to be better than the bituminous overlay considering the whole life cycle cost.
The economic analysis also indicates that, out of the three fibre options, hybrid reinforced concrete would be economical without
compromising the performance of the pavement.
Keywords: - Fatigue, Life cycle cost analysis, Net Present Value method, Overlay, Rehabilitation
Laboratory studies of dense bituminous mixes ii with reclaimed asphalt materialseSAT Journals
Abstract
The issue of growing demand on our nation’s roadways over that past couple of decades, decreasing budgetary funds, and the need to
provide a safe, efficient, and cost effective roadway system has led to a dramatic increase in the need to rehabilitate our existing
pavements and the issue of building sustainable road infrastructure in India. With these emergency of the mentioned needs and this
are today’s burning issue and has become the purpose of the study.
In the present study, the samples of existing bituminous layer materials were collected from NH-48(Devahalli to Hassan) site.The
mixtures were designed by Marshall Method as per Asphalt institute (MS-II) at 20% and 30% Reclaimed Asphalt Pavement (RAP).
RAP material was blended with virgin aggregate such that all specimens tested for the, Dense Bituminous Macadam-II (DBM-II)
gradation as per Ministry of Roads, Transport, and Highways (MoRT&H) and cost analysis were carried out to know the economics.
Laboratory results and analysis showed the use of recycled materials showed significant variability in Marshall Stability, and the
variability increased with the increase in RAP content. The saving can be realized from utilization of recycled materials as per the
methodology, the reduction in the total cost is 19%, 30%, comparing with the virgin mixes.
Keywords: Reclaimed Asphalt Pavement, Marshall Stability, MS-II, Dense Bituminous Macadam-II
Laboratory investigation of expansive soil stabilized with natural inorganic ...eSAT Journals
Abstract
Soil stabilization has proven to be one of the oldest techniques to improve the soil properties. Literature review conducted revealed
that uses of natural inorganic stabilizers are found to be one of the best options for soil stabilization. In this regard an attempt has
been made to evaluate the influence of RBI-81 stabilizer on properties of black cotton soil through laboratory investigations. Black
cotton soil with varying percentages of RBI-81 viz., 0, 0.5, 1, 1.5, 2, and 2.5 percent were studied for moisture density relationships
and strength behaviour of soils. Also the effect of curing period was evaluated as literature review clearly emphasized the strength
gain of soils stabilized with RBI-81 over a period of time. The results obtained shows that the unconfined compressive strength of
specimens treated with RBI-81 increased approximately by 250% for a curing period of 28 days as compared to virgin soil. Further
the CBR value improved approximately by 400%. The studies indicated an increasing trend for soil strength behaviour with
increasing percentage of RBI-81 suggesting its potential applications in soil stabilization.
Influence of reinforcement on the behavior of hollow concrete block masonry p...eSAT Journals
Abstract
Reinforced masonry was developed to exploit the strength potential of masonry and to solve its lack of tensile strength. Experimental
and analytical studies have been carried out to investigate the effect of reinforcement on the behavior of hollow concrete block
masonry prisms under compression and to predict ultimate failure compressive strength. In the numerical program, three dimensional
non-linear finite elements (FE) model based on the micro-modeling approach is developed for both unreinforced and reinforced
masonry prisms using ANSYS (14.5). The proposed FE model uses multi-linear stress-strain relationships to model the non-linear
behavior of hollow concrete block, mortar, and grout. Willam-Warnke’s five parameter failure theory has been adopted to model the
failure of masonry materials. The comparison of the numerical and experimental results indicates that the FE models can successfully
capture the highly nonlinear behavior of the physical specimens and accurately predict their strength and failure mechanisms.
Keywords: Structural masonry, Hollow concrete block prism, grout, Compression failure, Finite element method,
Numerical modeling.
Influence of compaction energy on soil stabilized with chemical stabilizereSAT Journals
Abstract
Increase in traffic along with heavier magnitude of wheel loads cause rapid deterioration in pavements. There is a need to improve
density, strength of soil subgrade and other pavement layers. In this study an attempt is made to improve the properties of locally
available loamy soil using twin approaches viz., i) increasing the compaction of soil and ii) treating the soil with chemical stabilizer.
Laboratory studies are carried out on both untreated and treated soil samples compacted by different compaction efforts. Studies
show that increase in compaction effort results in increase in density of soil. However in soil treated with chemical stabilizer, rate of
increase in density is not significant. The soil treated with chemical stabilizer exhibits improvement in both strength and performance
properties.
Keywords: compaction, density, subgradestabilization, resilient modulus
Geographical information system (gis) for water resources managementeSAT Journals
Abstract
Water resources projects are inherited with overlapping and at times conflicting objectives. These projects are often of varied sizes
ranging from major projects with command areas of millions of hectares to very small projects implemented at the local level. Thus,
in all these projects there is seldom proper coordination which is essential for ensuring collective sustainability.
Integrated watershed development and management is the accepted answer but in turn requires a comprehensive framework that can
enable planning process involving all the stakeholders at different levels and scales is compulsory. Such a unified hydrological
framework is essential to evaluate the cause and effect of all the proposed actions within the drainage basins.
The present paper describes a hydrological framework developed in the form of a Hydrologic Information System (HIS) which is
intended to meet the specific information needs of the various line departments of a typical State connected with water related aspects.
The HIS consist of a hydrologic information database coupled with tools for collating primary and secondary data and tools for
analyzing and visualizing the data and information. The HIS also incorporates hydrological model base for indirect assessment of
various entities of water balance in space and time. The framework would be maintained and updated to reflect fully the most
accurate ground truth data and the infrastructure requirements for planning and management.
Keywords: Hydrological Information System (HIS); WebGIS; Data Model; Web Mapping Services
Forest type mapping of bidar forest division, karnataka using geoinformatics ...eSAT Journals
Abstract
The study demonstrate the potentiality of satellite remote sensing technique for the generation of baseline information on forest types
including tree plantation details in Bidar forest division, Karnataka covering an area of 5814.60Sq.Kms. The Total Area of Bidar
forest division is 5814Sq.Kms analysis of the satellite data in the study area reveals that about 84% of the total area is Covered by
crop land, 1.778% of the area is covered by dry deciduous forest, 1.38 % of mixed plantation, which is very threatening to the
environmental stability of the forest, future plantation site has been mapped. With the use of latest Geo-informatics technology proper
and exact condition of the trees can be observed and necessary precautions can be taken for future plantation works in an appropriate
manner
Keywords:-RS, GIS, GPS, Forest Type, Tree Plantation
Factors influencing compressive strength of geopolymer concreteeSAT Journals
Abstract
To study effects of several factors on the properties of fly ash based geopolymer concrete on the compressive strength and also the
cost comparison with the normal concrete. The test variables were molarities of sodium hydroxide(NaOH) 8M,14M and 16M, ratio of
NaOH to sodium silicate (Na2SiO3) 1, 1.5, 2 and 2.5, alkaline liquid to fly ash ratio 0.35 and 0.40 and replacement of water in
Na2SiO3 solution by 10%, 20% and 30% were used in the present study. The test results indicated that the highest compressive
strength 54 MPa was observed for 16M of NaOH, ratio of NaOH to Na2SiO3 2.5 and alkaline liquid to fly ash ratio of 0.35. Lowest
compressive strength of 27 MPa was observed for 8M of NaOH, ratio of NaOH to Na2SiO3 is 1 and alkaline liquid to fly ash ratio of
0.40. Alkaline liquid to fly ash ratio of 0.35, water replacement of 10% and 30% for 8 and 16 molarity of NaOH and has resulted in
compressive strength of 36 MPa and 20 MPa respectively. Superplasticiser dosage of 2 % by weight of fly ash has given higher
strength in all cases.
Keywords: compressive strength, alkaline liquid, fly ash
Experimental investigation on circular hollow steel columns in filled with li...eSAT Journals
Abstract
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of Light weight concrete are tested for
ultimate load capacity and axial shortening , under Cyclic loading. Steel tubes are compared for different lengths, cross sections and
thickness. Specimens were tested separately after adopting Taguchi’s L9 (Latin Squares) Orthogonal array in order to save the initial
experimental cost on number of specimens and experimental duration. Analysis was carried out using ANN (Artificial Neural
Network) technique with the assistance of Mini Tab- a statistical soft tool. Comparison for predicted, experimental & ANN output is
obtained from linear regression plots. From this research study, it can be concluded that *Cross sectional area of steel tube has most
significant effect on ultimate load carrying capacity, *as length of steel tube increased- load carrying capacity decreased & *ANN
modeling predicted acceptable results. Thus ANN tool can be utilized for predicting ultimate load carrying capacity for composite
columns.
Keywords: Light weight concrete, GFRP, Artificial Neural Network, Linear Regression, Back propagation, orthogonal
Array, Latin Squares
Experimental behavior of circular hsscfrc filled steel tubular columns under ...eSAT Journals
Abstract
This paper presents an outlook on experimental behavior and a comparison with predicted formula on the behaviour of circular
concentrically loaded self-consolidating fibre reinforced concrete filled steel tube columns (HSSCFRC). Forty-five specimens were
tested. The main parameters varied in the tests are: (1) percentage of fiber (2) tube diameter or width to wall thickness ratio (D/t
from 15 to 25) (3) L/d ratio from 2.97 to 7.04 the results from these predictions were compared with the experimental data. The
experimental results) were also validated in this study.
Keywords: Self-compacting concrete; Concrete-filled steel tube; axial load behavior; Ultimate capacity.
Evaluation of punching shear in flat slabseSAT Journals
Abstract
Flat-slab construction has been widely used in construction today because of many advantages that it offers. The basic philosophy in
the design of flat slab is to consider only gravity forces; this method ignores the effect of punching shear due to unbalanced moments
at the slab column junction which is critical. An attempt has been made to generate generalized design sheets which accounts both
punching shear due to gravity loads and unbalanced moments for cases (a) interior column; (b) edge column (bending perpendicular
to shorter edge); (c) edge column (bending parallel to shorter edge); (d) corner column. These design sheets are prepared as per
codal provisions of IS 456-2000. These design sheets will be helpful in calculating the shear reinforcement to be provided at the
critical section which is ignored in many design offices. Apart from its usefulness in evaluating punching shear and the necessary
shear reinforcement, the design sheets developed will enable the designer to fix the depth of flat slab during the initial phase of the
design.
Keywords: Flat slabs, punching shear, unbalanced moment.
Evaluation of performance of intake tower dam for recent earthquake in indiaeSAT Journals
Abstract
Intake towers are typically tall, hollow, reinforced concrete structures and form entrance to reservoir outlet works. A parametric
study on dynamic behavior of circular cylindrical towers can be carried out to study the effect of depth of submergence, wall thickness
and slenderness ratio, and also effect on tower considering dynamic analysis for time history function of different soil condition and
by Goyal and Chopra accounting interaction effects of added hydrodynamic mass of surrounding and inside water in intake tower of
dam
Key words: Hydrodynamic mass, Depth of submergence, Reservoir, Time history analysis,
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
Estimation of surface runoff in nallur amanikere watershed using scs cn methodeSAT Journals
Abstract
The development of watershed aims at productive utilization of all the available natural resources in the entire area extending from
ridge line to stream outlet. The per capita availability of land for cultivation has been decreasing over the years. Therefore, water and
the related land resources must be developed, utilized and managed in an integrated and comprehensive manner. Remote sensing and
GIS techniques are being increasingly used for planning, management and development of natural resources. The study area, Nallur
Amanikere watershed geographically lies between 110 38’ and 110 52’ N latitude and 760 30’ and 760 50’ E longitude with an area of
415.68 Sq. km. The thematic layers such as land use/land cover and soil maps were derived from remotely sensed data and overlayed
through ArcGIS software to assign the curve number on polygon wise. The daily rainfall data of six rain gauge stations in and around
the watershed (2001-2011) was used to estimate the daily runoff from the watershed using Soil Conservation Service - Curve Number
(SCS-CN) method. The runoff estimated from the SCS-CN model was then used to know the variation of runoff potential with different
land use/land cover and with different soil conditions.
Keywords: Watershed, Nallur watershed, Surface runoff, Rainfall-Runoff, SCS-CN, Remote Sensing, GIS.
Estimation of morphometric parameters and runoff using rs & gis techniqueseSAT Journals
Abstract
Land and water are the two vital natural resources, the optimal management of these resources with minimum adverse environmental
impact are essential not only for sustainable development but also for human survival. Satellite remote sensing with geographic
information system has a pragmatic approach to map and generate spatial input layers of predicting response behavior and yield of
watershed. Hence, in the present study an attempt has been made to understand the hydrological process of the catchment at the
watershed level by drawing the inferences from moprhometric analysis and runoff. The study area chosen for the present study is
Yagachi catchment situated in Chickamaglur and Hassan district lies geographically at a longitude 75⁰52’08.77”E and
13⁰10’50.77”N latitude. It covers an area of 559.493 Sq.km. Morphometric analysis is carried out to estimate morphometric
parameters at Micro-watershed to understand the hydrological response of the catchment at the Micro-watershed level. Daily runoff
is estimated using USDA SCS curve number model for a period of 10 years from 2001 to 2010. The rainfall runoff relationship of the
study shows there is a positive correlation.
Keywords: morphometric analysis, runoff, remote sensing and GIS, SCS - method
-
Effect of variation of plastic hinge length on the results of non linear anal...eSAT Journals
Abstract The nonlinear Static procedure also well known as pushover analysis is method where in monotonically increasing loads are applied to the structure till the structure is unable to resist any further load. It is a popular tool for seismic performance evaluation of existing and new structures. In literature lot of research has been carried out on conventional pushover analysis and after knowing deficiency efforts have been made to improve it. But actual test results to verify the analytically obtained pushover results are rarely available. It has been found that some amount of variation is always expected to exist in seismic demand prediction of pushover analysis. Initial study is carried out by considering user defined hinge properties and default hinge length. Attempt is being made to assess the variation of pushover analysis results by considering user defined hinge properties and various hinge length formulations available in literature and results compared with experimentally obtained results based on test carried out on a G+2 storied RCC framed structure. For the present study two geometric models viz bare frame and rigid frame model is considered and it is found that the results of pushover analysis are very sensitive to geometric model and hinge length adopted. Keywords: Pushover analysis, Base shear, Displacement, hinge length, moment curvature analysis
Effect of use of recycled materials on indirect tensile strength of asphalt c...eSAT Journals
Abstract
Depletion of natural resources and aggregate quarries for the road construction is a serious problem to procure materials. Hence
recycling or reuse of material is beneficial. On emphasizing development in sustainable construction in the present era, recycling of
asphalt pavements is one of the effective and proven rehabilitation processes. For the laboratory investigations reclaimed asphalt
pavement (RAP) from NH-4 and crumb rubber modified binder (CRMB-55) was used. Foundry waste was used as a replacement to
conventional filler. Laboratory tests were conducted on asphalt concrete mixes with 30, 40, 50, and 60 percent replacement with RAP.
These test results were compared with conventional mixes and asphalt concrete mixes with complete binder extracted RAP
aggregates. Mix design was carried out by Marshall Method. The Marshall Tests indicated highest stability values for asphalt
concrete (AC) mixes with 60% RAP. The optimum binder content (OBC) decreased with increased in RAP in AC mixes. The Indirect
Tensile Strength (ITS) for AC mixes with RAP also was found to be higher when compared to conventional AC mixes at 300C.
Keywords: Reclaimed asphalt pavement, Foundry waste, Recycling, Marshall Stability, Indirect tensile strength.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
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.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Design of c slotted microstrip antenna using artificial neural network model
1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 120
DESIGN OF C-SLOTTED MICROSTRIP ANTENNA USING
ARTIFICIAL NEURAL NETWORK MODEL
Pritam Singha Roy1
, Samik Chakraborty2
1
Assistant Professor, Electronics Engineering, DIET, West Bengal, India
e-mail:prittam.pritam@gmail.com
2
Professor, Communication Engineering, Indian Maritime University, West Bengal, India
e-mail:chakra_samik@yahoo.com
Abstract
In this paper, neural network model has been used to estimation of resonance frequency of a coaxial feed C-slotted Microstrip
Antenna. The Multi-Layer Perceptron Feed forward back Propagation (MLPFFBP) and Radial basis function Artificial Neural
Network (RBFANN) have been used to implement the neural network model. A relative performance analysis of the proposed
neural network for different training algorithms. Number of neurons and number of hidden layer is also carried out for estimating
the resonance frequency. The method of moment (MOM) based IE3D software was used to generate data dictionary for training
and validation set of ANN. The results obtain using ANN are compared with simulation feeding and found quite satisfactory and
also it is concluded that RBFANN network is more accurate and fast compared to MLPFFBP network algorithm.
Index Terms: Artificial Neural Network, C slot, Microstrip Antenna, Multilayer Feed Forward Networks, Radial basis
function Artificial Neural Network, Resonance frequency.
------------------------------------------------------------------------------------------------------------------------------------------
1. INTRODUCTION
Microstrip antennas due to their many attractive features
have drawn attention of industries for an ultimate solution for
wireless communication. The existing era of wireless
communication has led to the design of an efficient, wide
band, low cost and small volume antennas which can readily
be incorporated into a broad spectrum of systems [1,
2].sufficient amount of work [3-10] indicates how ANN have
been used efficiently to design rectangular Microstrip
antenna for the determination of different patch dimensions
i,e length,width,resonant frequency, radiation efficiency etc.
In this paper, an attempt has been made to exploit the
capability of artificial neural networks to calculate the
resonating frequency of coaxial feed C-slotted Microstrip
patch antenna. The trained ANN is used to determine
different important antenna characteristics for various
structural input variables.Neoro models are computationally
much more efficient than EM models once they are trained
with reliable learning data obtained from a “fine” model by
either EM simulation or measurement [3, 4, 5, 6].The neuro
models can be used for efficient and accurate optimization
and design within the range of training.
In this work, the authors extend the work on the use of the
artificial neural network (ANN) technique taking into
account different variants of back propagation training
algorithm with MLPFFBP and RBF ANN model are stressed
upon in place of conventional numerical techniques for the
C-slot microstrip antenna design. Then, with the ANN
results, simulated results from the IE3D software are
compared.
2. DESIGN AND DATA GENERATION
Designing of micro strip patch antenna depends on three
parameters. In this paper The rectangular patch Microstrip
antenna is designed to resonate at 6.8 GHz frequency with
dielectric constant 2.2,Substrate thickness h = 1.5mm
,L=16.01mm and W=19.73mm. The width (W) and length
(L) of antenna are calculated from conventional equations
[11].
For generating data, we simulated the frequency domain
response of the antenna for various patch dimensions, using
method of moments based simulation software IE3DTM
.For
training and testing of the ANN, 100 data sets are generated
2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 121
by simulation using IE3DTM
simulation software. Four
Antenna dimension as L1 is the horizontal slot length, W1 is
Figure.1 .C-slotted Microstrip Patch antenna
the vertical slot length,W2 and W3 are the upper and lower
vertical patch length respectively. Figure1. shows the layout
of a coaxial probe-fed C-slotted patch antenna.
The four dimensions L1,W1,W2 and W3 are varied from 0.1
to 3 mm and we have taken corresponding simulated
resonance frequencies. The feed position is varied in very
close steps varying around one sixth of the length (from
microstrip centre) within 1.5mm along the length. These
sampled points are then scaled to remain within the range
[-1, 1] and used as the training data for the network.
3. NETWORK ARCHITECHTURE AND
TRAINING
For the present work the Multi-Layer Perceptron Feed
forward back Propagation neural network [12, 13] and
Radial basis function Artificial Neural Network models are
used. These networks can be used as a general function
approximator.It can be approximate any function with a
finite number of discontinuous, arbitrary well given
sufficient neurons in the hidden layer. The model is trained
with 100 sets of input/output data, which are obtained by
IE3D software based on MoM. The model is trained for
different values of parameters (L1,W1,W2 and W3 )to get a
desired frequency.
3.1 Multi-Layer Perceptron Feed forward Back Propagation
(MLPFFBP) Neural Network.
MLP networks are feed forward networks trained with the
standard back propagation algorithms to achieve the
required degree of accuracy.
They are supervised networks, and also they required a
desired response to be trained. With one or two hidden
layers they can approximate virtually any input output map.
Figure 2. Three layer MLPFFBP network architecture
The weights of the networks are computed by training the
network using back propagation algorithm [14, 15].In
present work, the MLPFFBP (Levenberg-Marquardt)
architecture shown in Figure 2.
In this network there are four input neurons in the input
layer, 25 hidden neurons in the hidden layer and one output
neuron in the output layer. The training time is 26 seconds
and training performs in 250 epochs. In order to evaluate the
performance of proposed MLPFFBP-ANN based model for
the design of microstrip antenna, simulation results are
obtained using IE3D simulator and generated 82 input –
output training patterns and 18 inputs-outputs test patterns to
validate the model. During the training process the neural
network automatically adjusts its weights and threshold
values such that the error between predicted and sampled
outputs is minimized. The adjustments are computed by the
back propagation algorithm. The training algorithm most
suitable is trainlm.The error goal is 0.001.The transfer
function is tansig in the architecture.
Figure 3. Number of epochs to achieve minimum mean
square error level in case of MLPFFBP training algorithm
3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 122
In Table I resonant frequencies obtained using IE3D
software and using MLPFFBP algorithm for different test
patterns are compared and Mean square error has been
calculated in Table I.
Table I: Comparison of results obtained using IE3D software
and MLPFFBP –ANN algorithm
Figure 3.shows the training performance of the developed
neural model for proposed antenna using MLPFFBP
algorithm. Model is trained in 250 epochs and the training
time was 26 seconds.
3.2 Radial basis function Artificial Neural Network
Radial basis function network [16, 17] is a feed forward
neural network with a single hidden layer that use radial
basis activation functions for hidden neurons.RBF networks
are applied for various microwave modeling purpose. The
RBF neural network has both a supervised and unsupervised
component to its learning. It consists of three layers of
neurons-input, hidden and output. The hidden layer neuron
represents a series of centers in the data space. Each of these
centers has an activation function, typically Gaussian. The
activation depends on the distance between the presented
input vector and the centre. The farther the vector is from
the centre, the lower is the activation and vice versa
[12].The generation of the centre and their widths is done
using an unsupervised k-means clustering algorithm. The
centre and widths created by this algorithm then form the
weights and biases of the hidden layer, which remain
unchanged once the clustering has been done.
The typical RBF network structure is given in Figure 4
Figure 4: RBF-NN Basic Structure
The parameters ci and εi are centre and standard deviations
of radial basis activation functions. Commonly used radial
basis activation functions are Gaussian and Multidquadratic.
Given the input x, the total input to the ith hidden neuron γi
is given by –
Where N is the number of hidden neurons. The output value
of the ith hidden neuron is Zi = σ (γi) ,where σ (γi) is a
radial basis function. Finally, the output of the RBF network
are computed from hidden neuron is given by-
Where wi is the weight of the link between the ith neuron of
the hidden layer and kth neuron of the output layer.
In RBF network, the spread value was chosen as 0.01,
which gives the best accuracy. The network was trained
with 82 samples and tested with 18 samples. In the structure
there is one input and one output was used for the analysis
ANN.
Figure 5. Number of epochs to achieve minimum mean
square error level in case of RBF network.
4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 123
The RBF network automatically adjusts the number of
processing elements in the hidden layer till the defined
accuracy is reached. The training algorithm is unsupervised
k-means clustering algorithm.
Figure 5. shows the training performance of the developed
neural model using RBF Network. Model is trained 93
epochs.
It is clear that RBF network is much faster than feed forward
networks since RBF network is trained fewer epochs than
feed forward network
4. RESULTS AND DISCUSSION
The antenna fabricated for validation of ANN are simulated
using IE3D simulation software for comparison and
validation purpose of ANN, because the specification of
these antennas are not included in the training data base. The
results of IE3D simulation software and MLPFFBP
(Levenberg-Marquardt) training algorithm is shown in
Figure 6.
It has been established from Figure 3.that the MLPFFBP
training algorithm is the optimal model to achieve desirable
values of speed of convergence. It has been observed that
250 epochs are needed to reduce MSE level to a low value
1.01575e-005 for three layers MLPFFBP with transig as a
transfer function. Achievement of such a low value of
performance goal (MSE) and accuracy of 99.89% indicates
that ANN model is an accurate model for designing the
Microstrip patch antenna. It is observed that tansig is most
suitable transfer function for present work. Minimum MSE
is calculated after training the network and indicated in
Table I
As the work signifies RBF-ANN is also used to model the
Microstrip patch antenna. A Radial Basis Function neural
network has an input layer, a hidden layer and an output
layer. The neurons in the hidden layer contain Gaussian
transfer function whose outputs are inversely proportional to
the distance from the centre of the neuron. It is established
from Figure 5. That RBF is giving results not only more
accurate but fast also, the presented RBF network has
performed training in less epochs than MLPFFBP.So it is
concluded that RBF architecture is better from MLPFFBP to
the accuracy of 99.97% and quite faster comparatively.
CONCLUSIONS
Artificial neural network structure is used for analysis of
C-slotted Microstrip patch antenna characteristics.
Multilayer Perceptron trained in the backpropagation mode
(using Levenberg-Marquardt algorithm) and Radial basis
Function Network model are developed. The important
characteristics namely, resonance frequencies obtained with
the present techniques are closer to the experimental results
generated by simulating a large no. of C-slotted microstrip
patch antenna using IE3Dsoftware.The comprehensive
comparison found that RBF network is better than
MLPFFBP network in prediction accuracy, training time
and training speed. It proved that the RBF neural network is
more efficient and accurate than MLPFFBP neural network.
The developed neural network methodology can be
extended for characterizing other different shapes of
Microstrip antenna.
Figure 6. Comparison of frequency of antenna obtained using
IE3D simulation software and Trained with MLPFFBP.
REFERENCES
[1] Balanis, C. A., Antenna Theory, John Wiley & Sons,
Inc., 1997. J. Clerk Maxwell, A Treatise on Electricity
and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon,
1892, pp.68-73.
[2] P. K. Singhal and L; Srivastava, “On the investigations
of a wide band proximity fed bow tie shaped microstrip
antenna”, Journal of Microwave and Optoelectronics,
Vol; 3, pp; 87-98, April 2004.
[3] Thakare V.V.,Singhal P.K.,”Bandwidth Analysis by
introducing slots in microstrip antenna design using
ANN ” , Progress In Electromagnetic Research M., Vol.
9,107-122,2009.
[4] Qi-Jan Zhang,Senior Member,IEEE,Kuldip C.Gupta,
Fellow,IEEE, and Vijay K. Devabhaktuni, Student
Member,IEEE”Artificial Neural Networks for RF and
Microwave Design-From Theory to Practice”, IEEE
Transaction on Microwave Theory and Techniques,
Vol. 51, No. 4,April 2003.
[5] Patnaik,A.;Anagnostou, D.;Christodoulou ,C.G.; Lyke,
J.C., “Neurocomputional Analysis of a Multiband
Reconfigurable Planar Antenna”, IEEE Transaction on
Antennas and Propagation, Vol. 53, No. 11, November
2005,p. 3453-3458.
[6] Patnaik,A.;Anagnostou, D.;Christodoulou ,C.G.,
“Neural Networks in Antenna Engineering- Beyond
Black –Box Modeling”, IEEE/ACES International
Conference on Wireless Communication and Applied
Computional Electromagnetics, April 2005,p. 598-601.
[7] Patnaik,A.;Mishra, R,K., “ANN Techniques in
Microwave Engineering” IEEE Microwave Magazine,
Vol. 1,No. 1, March 2000,p 55-60.
[8] Vegni,L.; Toscano, A.,”Analysis of Microstrip
Antennas Using Neural Networks”, IEEE Transactions
on Magnetics, Vol. 33,No. 2,March 1997,p. 1414-
1419.
[9] Mishra, R,K.; Patnaik,A. “ Neurospectral Analysis of
Coaxial Fed Rectangular Patch Antenna “.IEEE
5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 124
Antennas and Propagation Society International
Symposium, Vol. 2, July 2000,p. 1062-1065.
[10]
Patnaik,A.;Anagnostou,D.E;Mishra,R.K.;Chistodoulou,
C.G.; Lyke, J.C., “Applications of Neural Networks in
Wireless Communications”IEEE Antennas and
Propagation Magazine, Vol. 46,No. 3, June 2004,p.
130-137.
[11] C.A.Balanis,”Antenna Theory and Design”, 2nd
Edition, New York, Wiley 1997.
[12] Haykin,S., Neural Networks, 2nd edition,PHI,2003.
[13] Hassoun, M.H., Fundamentals of Artificial Neural
Netorks ,Chepter 8, New Delhi,Prentice Hall of India,
1999.
[14] S.Rajasekaran, G. A. Vijayalakshmi Pai, “Neural
Networks,Fuzzy Logic ,and Genetic
Algorithms:Synthesis and Application”, Prentice Hall
of Limited, New Delhi ,2006.
[15] Hagan,M.T.; Menhaj, M. B., “Training Feedforward
Networks with the Marquardt Algorithm”. IEEE
Transaction on Neural Networks, Vol. 5, No. 6,
November 1994, p. 989-993.
[16] Thakare V.V.., Jadon, Shalendra Singh, Kumari,
Ritesh,”Analysis of Circular Microstrip Patch Antenna
Using Radial Basis Artificial Neural Network”,
International Journal of Electronics and Computer
Science Engineering, ISSN-2277-1956
[17] Vandana Vikas Thakare, Pramod Singhal, “Artificial
Intelligence in the estimation of patch dimensions of
Rectangular Microstrip Antennas” .Circuits and
Systems, Oct. 2011, Vpol. 2, pp. 330-337.
BIOGRAPHIES
Mr. Pritam Singha Roy ,Assistant
Professor in DIET and got M.Tech
degree in Electronics and Control
Engineering,Calcutta University,India,
in 2009. His current areas of interest
are design and development of
microstrip ,dielectric and metallic
antennas.
Dr. samik Chakraborty ,Professor at
Indian Maritime University,India..He
received Ph.D(Science) in 2009 ,from
Jadavpur University,Kolkata ,India.He
is currently supervising two doctoral
thesis.He has worked in different
research projects for National Defence
and Space Research Organizations