Artificial Neural Network in the Design of Rectangular Microstrip Antenna

Artificial Neural Network in the Design of Rectangular Microstrip Antenna

Adil Bouhous University of Jijel, Algeria

ABSTRACT

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.

KEYWORDS Multilayer Perceptron Network, Rectangular Microstrip Antennas, Resonant Frequencies, Electric Fields. Original Source URL: http://airccse.org/journal/acii/papers/2215acii04.pdf http://airccse.org/journal/acii/vol2.html

Comparison And Implementation of Random4 Algorithm and Hirschberg Algorithm Using Open Source Software for Prevention of SQL Injection Attack

Comparison And Implementation of Random4 Algorithm and Hirschberg Algorithm Using Open Source Software for Prevention of SQL Injection Attack

Mohammed Ahmed, Sayyed Saima, Shaikh Shagufta and Shaikh Tazreen M. H. Saboo Siddik College of Engineering, India

ABSTRACT

SQL injection attacks are easy way to attack the web applications and gain access to the private data in a database. Using different types of the SQL attacks one can easily gain access, modify the database or can even remove it. Details such as fields and table names are required for a hacker to modify a database. Hence, to provide the increased amount of security to users and their data, different types of techniques are used such as Random4 algorithm, which is based on randomization and used to encrypt the user input, Hirschberg algorithm which is a divide and conquer technique used to match the query pattern. In this paper we are providing a comparative study and implementation of these prevention techniques using open source software.

KEYWORDS SQL injection, Random4, Hirschberg. Original Source URL: http://airccse.org/journal/acii/papers/2215acii03.pdf http://airccse.org/journal/acii/vol2.html

Hybrid Data Clustering Approach Using K-Means and Flower Pollination Algorithm

Hybrid Data Clustering Approach Using K-Means and Flower Pollination Algorithm

R. Jensi1 and G. Wiselin Jiji2 1Manomanium Sundaranar University, India 2Dr.Sivanthi Aditanar College of Engineering, India

ABSTRACT

Data clustering is a technique for clustering set of objects into known number of groups. Several approaches are widely applied to data clustering so that objects within the clusters are similar and objects in different clusters are far away from each other. K-Means, is one of the familiar center based clustering algorithms since implementation is very easy and fast convergence. However, K-Means algorithm suffers from initialization, hence trapped in local optima. Flower Pollination Algorithm (FPA) is the global optimization technique, which avoids trapping in local optimum solution. In this paper, a novel hybrid data clustering approach using Flower Pollination Algorithm and K-Means (FPAKM) is proposed. The proposed algorithm results are compared with K-Means and FPA on eight datasets. From the experimental results, FPAKM is better than FPA and K-Means

KEYWORDS Cluster Analysis, K-Means, Flower Pollination algorithm, global optimum, swarm intelligence, natureinspired Original Source URL: http://airccse.org/journal/acii/papers/2215acii02.pdf http://airccse.org/journal/acii/vol2.html

Blood Groups Matcher Frame Work Based on Three -Level Rules in Myanmar

Blood Groups Matcher Frame Work Based on Three -Level Rules in Myanmar

San San Tint and Htoi Mai University of computer Studies Mandalay, Myanmar

ABSTRACT

Today Blood donation is a global interest for world to be survival lives when people are in trouble because of natural disaster. The system provides the ability how to decide to donate the blood according to the rules for blood donation not to meet the physicians. In this system, there are three main parts to accept blood from donors when they want to donate according to the features like personal health. The application facilitates to negotiate between blood donors and patients who need to get blood seriously on page without going to Blood Banks and waiting time in queue there.

KEYWORDS Decision Table, Decision Tree, Feature, Knowledge Original Source URL: http://airccse.org/journal/acii/papers/2115acii03.pdf http://airccse.org/journal/acii/vol2.html

Localization of Overlaid Text Based on Noise Inconsistencies

Localization of Overlaid Text Based on Noise Inconsistencies

Too Kipyego Boaz and PLocalization of Overlaid Text Based on Noise Inconsistenciesrabhakar C.J Kuvempu University, India

ABSTRACT

In this paper, we present a novel technique for localization of caption text in video frames based on noise inconsistencies. Text is artificially added to the video after it has been captured and as such does not form part of the original video graphics. Typically, the amount of noise level is uniform across the entire captured video frame, thus, artificially embedding or overlaying text on the video introduces yet another segment of noise level. Therefore detection of various noise levels in the video frame may signify availability of overlaid text. Hence we exploited this property by detecting regions with various noise levels to localize overlaid text in video frames. Experimental results obtained shows a great improvement in line with overlaid text localization, where we have performed metric measure based on Recall, Precision and f measure.

KEYWORDS Overlaid text detection, Text information extraction, Text localization Original Source URL: http://airccse.org/journal/acii/papers/2215acii01.pdf http://airccse.org/journal/acii/vol2.html

Web Spam Classification Using Supervised Artificial Neural Network Algorithms

Web Spam Classification Using Supervised Artificial Neural Network Algorithms

Ashish Chandra, Mohammad Suaib and Rizwan Beg Integral University, India

ABSTRACT

Due to the rapid growth in technology employed by the spammers, there is a need of classifiers that aremore efficient, generic and highly adaptive. NeuralNetwork based technologies have high ability ofadaption as well as generalization. As per our knowledge, very little work has been done in this fieldusingneural network. We present this paper to fill thisgap. This paper evaluates performance of three supervisedlearning algorithms of artificial neural network bycreating classifiers for the complex problem of latestweb spam pattern classification. These algorithms are Conjugate Gradient algorithm, Resilient Back-propagation learning, and Levenberg-Marquardt algorithm

KEYWORDS Web spam, artificial neural network, back-propagation algorithms, Conjugate Gradient, Resilient Back-propagation, Levenberg-Marquardt, Web spam classification Original Source URL: http://airccse.org/journal/acii/papers/2115acii02.pdf http://airccse.org/journal/acii/vol2.html

Learning Strategy with Groups on Page Based Students' Profiles

Learning Strategy with Groups on Page Based Students' Profiles

San San Tint and Ei Ei Nyunt University of Computer Studies, Myanmar

ABSTRACT

Most of students desire to know about their knowledge level to perfect their exams. In learning environmentthe fields of study overwhelm on page with collaboration or cooperation. Students can do their exerciseseither individually or collaboratively with their peers. The system provides the guidelines for students'learning system aboutinterest fields as Java in this system. Especially the system feedbacks information about exam to know their grades without teachers. The participants who answered the exam can discusswith each others because of sharing e mail and list of them.

KEYWORDS Collaboration, Grade, Learning, Profiles, Feedback . Original Source URL: http://airccse.org/journal/acii/papers/2115acii01.pdf http://airccse.org/journal/acii/vol2.html

Hybrid Genetic Algorithm for Bi-Criteria Multiprocessor Task Scheduling with Communication Delay

Hybrid Genetic Algorithm for Bi-Criteria Multiprocessor Task Scheduling with Communication Delay

Sunita Dhingra1, Ashwani K. Dhingra1 , Satinder Bal Gupta2 and Ranjit Biswas 1Maharshi Dayanand University, India 2Vaish College of Engineering, India3Jamia Hamdard University, India

ABSTRACT

Present work considers the minimization of the bi-criteria function including weighted sum of makespanand total completion time for a Multiprocessor taskscheduling problem.Genetic algorithm is the mostappealing choice for the different NP hard problemsincluding multiprocessor task scheduling.Performance of genetic algorithm depends on the quality of initial solution as good initial solution providesthe betterresults. Different list scheduling heuristics based hybrid genetic algorithms (HGAs) have beenproposed and developedfor the problem. Computational analysis with the help of defined performanceindex has been conducted on the standard task scheduling problems for evaluating the performance of theproposed HGAs. The analysis shows that the ETF-GA is quite efficient and best among the other heuristicbased hybrid genetic algorithms in terms of solution quality especially for large and complex problems.

KEYWORDS Multiprocessor task scheduling, heuristics, HybridGenetic algorithm, makespan, Total Completion time Original Source URL: http://aircconline.com/acii/V3N4/3416acii03.pdf http://airccse.org/journal/acii/vol3.html

A Comparison of Four Series of CISCO Network Processors

A Comparison of Four Series of CISCO Network Processors

Sadaf Abaei Senejani1, Hossein Karimi2, Javad Rahnama3 1Pooyesh University, Iran, 2Islamic Azad University, Iran 3Sharif University of Technology, Iran

ABSTRACT

Network processors have created new opportunities by performing more complex calculations. Routers perform the most useful and difficult processing operations. In this paper the routers of VXR 7200, ISR 4451-X, SBC 7600, 7606 have been investigated which their main positive points include scalability, flexibility, providing integrated services, high security, supporting and updating with the lowest cost, and supporting standard protocols of network. In addition, in the current study these routers have been explored from hardware and processor capacity viewpoints separately.

KEYWORDS Network processors, Network on Chip, parallel computing Original Source URL: http://aircconline.com/acii/V3N4/3416acii02.pdf http://airccse.org/journal/acii/vol3.html

Big Data Summarization : Framework, Challenges and Possible Solutions

Big Data Summarization : Framework, Challenges and Possible Solutions

Shilpa G. Kolte1 and Jagdish W. Bakal 1University of Mumbai, India 2Shivajirao S. Jondhale College of Engineering, India

ABSTRACT

In this paper, we first briefly review the concept of big data, including its definition, features, and value. We then present background technology for big data summarization brings to us. The objective of this paper is to discuss the big data summarization framework, challenges and possible solutions as well as methods of evaluation for big data summarization. Finally, we conclude the paper with a discussion of open problems and future directions.

KEYWORDS Big data, Big data summarization, Data Generalization, Semantic term Identification Original Source URL: http://aircconline.com/acii/V3N4/3416acii01.pdf http://airccse.org/journal/acii/vol3.html

Voice Command System Using Raspberry PI

Voice Command System Using Raspberry PI

Surinder Kaur, Sanchit Sharma, Utkarsh Jain and Arpit Raj Bharati Vidyapeeth’s College of Engineering, India

ABSTRACT

The purpose of this research paper is to illustratethe implementation of a Voice Command System. Thissystem works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to text using a speech to text engine. The text hence produced was used for query processing and fetchingrelevant information. When the information was fetched, it was then converted to speech using speech to text conversion and the relevant output to the userwas given. Additionally, some extra modules were also implemented which worked on the concept of keyword matching. These included telling time, weather and notification from social applications.

KEYWORDS Text to speech; Speech to text; Raspberry Pi; Voice Command System; Query Processing . Original Source URL: http://aircconline.com/acii/V3N3/3316acii06.pdf http://airccse.org/journal/acii/vol3.html

Study Analysis on Tracking Multiple Objects in Presence of Inter Occlusion in Unmanned LC

Study Analysis on Tracking Multiple Objects in Presence of Inter Occlusion in Unmanned LC

A. Risvin, S.V. Anandhi and P. Sahana, Dr.SivanthiAditanar College of Engineering, India

ABSTRACT

The object tracking algorithm is used to tracking multiple objects in a video streams. This paper provides Mutual tracking algorithm which improve the estimation inaccuracy and the robustness of clutter environment when it uses Kalman Filter. using this algorithm to avoid the problem of id switch in continuing occlusions. First the algorithms apply the collision avoidance model to separate the nearbytrajectories. Suppose occurring inter occlusion theaggregate model splits into several parts and use only visible parts perform tracking. The algorithm reinitializes the particles when the tracker is fully occluded. The experimental results using unmanned level crossing (LC) exhibit the feasibility of our proposal. In addition, comparison with Kalman filter trackers has also been performed.

KEYWORDS Mutual tracking, collision avoidance model, inter occlusion Original Source URL: http://aircconline.com/acii/V3N3/3316acii05.pdf http://airccse.org/journal/acii/vol3.html

Detection of Tuberculosis Using Chest X Ray (CXR)

Detection of Tuberculosis Using Chest X Ray (CXR) ASSISTIVE SYSTEM FOR AUTISTIC CHILDREN

P. Sahana, T. Saravana Kumar and A. Risvin Dr.SivanthiAditanar College of Engineering, India

ABSTRACT

Tuberculosis is an airborne disease that affects many organs in the body especially lungs. This disease is caused by a bacteria known as Mycobacterium Tuberculosis. When the bacteria becomes active it affects the body. If the disease is not treated properly a loss of life may occur. A robotic detection of tuberculosis is presented in this paper with the help of patient chest x ray(CXR).The input image is then filtered by Gaussian filter to remove noise and then the lung region gets segmented by using graph cut segmentation. The segmented lung region is partitioned into four lobes. The infected region is then segmented for that region the feature values are calculated. With these values it is classified as normal or abnormal by using Ada boost classifier.

KEYWORDS CXR,Tuberculosis,AdaBoost,lobes,Classification,Feature extraction Original Source URL: http://aircconline.com/acii/V3N3/3316acii04.pdf http://airccse.org/journal/acii/vol3.html