Special Issue on Artificial Intelligence

1

Parts of Speech Tagging for Afaan Oromo

Author 1: Getachew Mamo Wegari Author 2: Million Meshesha

The main aim of this study is to develop part-of-speech tagger for Afaan Oromo language. After reviewing literatures on Afaan Oromo grammars and identifying tagset and word categories, the study adopted Hidden Markov Model (HMM) approach and has implemented unigram and bigram models of Viterbi algorithm. Unigram model is used… Read full abstract & cite →

Natural Language processing parts of speech tagging Hidden Markov Model N-Gram Afaan Oromo.

Abstract doi.org/10.14569/SpecialIssue.2011.010301 PDF

2

Speaker Identification using Row Mean of Haar and Kekre’s Transform on Spectrograms of Different Frame Sizes

Author 1: H B Kekre Author 2: Vaishali Kulkarni

In this paper, we propose Speaker Identification using two transforms, namely Haar Transform and Kekre’s Transform. The speech signal spoken by a particular speaker is converted into a spectrogram by using 25% and 50% overlap between consecutive sample vectors. The two transforms are applied on the spectrogram. The row mean… Read full abstract & cite →

Speaker Identification Spectrogram Haar Transform Kekre’s Transform Row Mean Euclidean distance

Abstract doi.org/10.14569/SpecialIssue.2011.010302 PDF

3

Forecasting the Tehran Stock Market by Artificial Neural Network

Author 1: Reza Aghababaeyan Author 2: TamannaSiddiqui Author 3: NajeebAhmadKhan

One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock market data to give individuals or institutions useful information about the market behavior for investment decisions. The enormous amount of valuable data generated by the stock market has attracted researchers to… Read full abstract & cite →

Data mining Stock Exchange Artificial Neural Network Matlab.

Abstract doi.org/10.14569/SpecialIssue.2011.010303 PDF

4

A Comparison Study between Data Mining Tools over some Classification Methods

Author 1: Abdullah H Wahbeh Author 2: Qasem A. Al-Radaideh Author 3: Mohammed N. Al-Kabi Author 4: Emad M. Al-Shawakfa

Nowadays, huge amount of data and information are available for everyone, Data can now be stored in many different kinds of databases and information repositories, besides being available on the Internet or in printed form. With such amount of data, there is a need for powerful techniques for better interpretation… Read full abstract & cite →

component data mining tools data classification Wekak Orange Tanagra KNIME.

Abstract doi.org/10.14569/SpecialIssue.2011.010304 PDF

5

SOM Based Visualization Technique For Detection Of Cancerous Masses In Mammogram

Author 1: S.Pitchuman Angayarkanni M.C.A Author 2: M.Phil Author 3: V.Saravanan

Breast cancer is the most common form of cancer in women. An intelligent computer-aided diagnosis system can be very helpful for radiologist in detecting and diagnosing micro calcifications patterns earlier and faster than typical screening programs. In this paper, we present a system based on gabor filter based enhancement technique… Read full abstract & cite →

Image Enhancement Gabor Filter Texture Features SOM ROC.

Abstract doi.org/10.14569/SpecialIssue.2011.010305 PDF

6

Improvement of Secret Image Invisibility in Circulation Image with Dyadic Wavelet Based Data Hiding with Run-Length Coded Secret Images of Which Location of Codes are Determined with Random Number

Author 1: Kohei Arai Author 2: Yuji Yamada

An attempt is made for improvement of secret image invisibility in circulation images with dyadic wavelet based data hiding with run-length coded secret images of which location of codes are determined by random number. Through experiments, it is confirmed that secret images are almost invisible in circulation images. Also robustness… Read full abstract & cite →

Dyadic wavelet Lifting wavelet Data hiding Data compression.

Abstract doi.org/10.14569/SpecialIssue.2011.010306 PDF

7

Unsupervised Method of Object Retrieval Using Similar Region Merging and Flood Fill

Author 1: Kanak Saxena Author 2: Sanjeev Jain Author 3: Uday Pratap Singh

In this work; we address a novel interactive framework for object retrieval using unsupervised similar region merging and flood fill method which models the spatial and appearance relations among image pixels. Efficient and effective image segmentation is usually very hard for natural and complex images. This paper presents a new… Read full abstract & cite →

Image segmentationl similar regions region merging mean shift flood fill.

Abstract doi.org/10.14569/SpecialIssue.2011.010307 PDF

8

Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks

Author 1: O Bencharef Author 2: M.Fakir Author 3: B. Minaoui Author 4: B.Bouikhalene

The recognition of Tifinagh characters cannot be perfectly carried out using the conventional methods which are based on the invariance, this is due to the similarity that exists between some characters which differ from each other only by size or rotation, hence the need to come up with new methods… Read full abstract & cite →

component Tifinagh character recognition Neural networks Decision trees Riemannian geometry Geodesic distances.

Abstract doi.org/10.14569/SpecialIssue.2011.010308 PDF

9

Motion Blobs as a Feature for Detection on Smoke

Author 1: Khalid Nazim S. A Author 2: M.B. Sanjay Pande

Disturbance that is caused due to visual perception with the atmosphere is coined as smoke, but the major problem is to quantify the detected smoke that is made up of small particles of carbonaceous matter in the air, resulting mainly from the burning of organic material. The present work focuses… Read full abstract & cite →

Motion blobs Blob Extraction Feature Extraction.

Abstract doi.org/10.14569/SpecialIssue.2011.010309 PDF

10

Extraction of Line Features from Multifidus Muscle of CT Scanned Images with Morphologic Filter Together with Wavelet Multi Resolution Analysis

Author 1: Kohei Arai Author 2: Yuichiro Eguchi Author 3: Yoichiro Kitajima

A method for line feature extraction from multifidus muscle of Computer Tomography (CT) scanned image with morphologic filter together with wavelet based Multi Resolution Analysis (MRA) is proposed. The contour of the multifidus muscle can be extracted from hip CT image. The area of multifidus muscle is then estimated and… Read full abstract & cite →

multifidusmuscle Computer Tomography wavele Multi Resulution Analysis morphological filter.

Abstract doi.org/10.14569/SpecialIssue.2011.010310 PDF

11

Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features

Author 1: P K Suri Author 2: Amit Verma

In real world applications, it is very challenging to implement a good detector which gives best performance with great speed and accuracy. There is always a trade-off in terms of speed and accuracy, when we consider performance of a face detector. In the current work we have implemented a robust… Read full abstract & cite →

CMBLBP MBLBP LBP Gentle Boosting Face Detection.

Abstract doi.org/10.14569/SpecialIssue.2011.010311 PDF

12

A new vehicle detection method

Author 1: Zebbara Khalid Author 2: Abdenbi Mazoul Author 3: Mohamed El Ansari

This paper presents a new vehicle detection method from images acquired by cameras embedded in a moving vehicle. Given the sequence of images, the proposed algorithms should detect out all cars in realtime. Related to the driving direction, the cars can be classified into two types. Cars drive in the… Read full abstract & cite →

component intelligent vehicle vehicle detection Association Optical Flow AdaBoost Haar filter.

Abstract doi.org/10.14569/SpecialIssue.2011.010312 PDF

13

Multimodal Biometric Person Authentication using Speech, Signature and Handwriting Features

Author 1: Eshwarappa M N Author 2: Mrityunjaya V. Latte

The objective of this work is to develop a multimodal biometric system using speech, signature and handwriting information. Unimodal biometric person authentication systems are initially developed for each of these biometric features. Methods are then explored for integrating them to obtain multimodal system. Apart from implementing state-of-the art systems, the… Read full abstract & cite →

Biometrics Speaker recognition Signature recognition Handwriting recognition Multimodal system.

Abstract doi.org/10.14569/SpecialIssue.2011.010313 PDF

14

A Fuzzy Decision Tree to Estimate Development Effort for Web Applications

Author 1: Ali Idri Author 2: Sanaa Elyassami

Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk… Read full abstract & cite →

Fuzzy Logic Effort Estimation Decision Tree Fuzzy ID3 Software project.

Abstract doi.org/10.14569/SpecialIssue.2011.010314 PDF

15

An Extended Performance Comparison of Colour to Grey and Back using the Haar, Walsh, and Kekre Wavelet Transforms

Author 1: H B Kekre Author 2: Sudeep D. Thepade Author 3: Adib Parkar

The storage of colour information in a greyscale image is not a new idea. Various techniques have been proposed using different colour spaces including the standard RGB colour space, the YUV colour space, and the YCbCr colour space. This paper extends the results described in [1] and [2]. While [1]… Read full abstract & cite →

Colouring Colour to Grey Matted Greyscale Grey to Colour LUV Colour Space YCbCr Colour Space YCgCb Colour Space YIQ Colour Space YUV Colour Space Haar Wavelets Kekre’s Wavelets Walsh Transform.

Abstract doi.org/10.14569/SpecialIssue.2011.010315 PDF

16

A Prototype Student Advising Expert System Supported with an Object-Oriented Database

Author 1: M Ayman Ahmar

Using intelligent computer systems technology to support the academic advising process offers many advantages over the traditional student advising. The objective of this research is to develop a prototype student advising expert system that assists the students of Information Systems (IS) major in selecting their courses for each semester towards… Read full abstract & cite →

academic advising expert system object-oriented database.

Abstract doi.org/10.14569/SpecialIssue.2011.010316 PDF

17

Face Recognition Using Bacteria Foraging Optimization-Based Selected Features

Author 1: Rasleen Jakhar Author 2: Navdeep Kaur Author 3: Ramandeep Singh

Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. This paper presents a novel feature selection algorithm based on Bacteria Foraging Optimization (BFO). The algorithm is applied to coefficients extracted… Read full abstract & cite →

Face Recognition Bacteria Foraging Optimization DCT Feature Selection.

Abstract doi.org/10.14569/SpecialIssue.2011.010317 PDF

18

Instant Human Face Attributes Recognition System

Author 1: N Bellustin Author 2: Y. Kalafati Author 3: Kovalchuck Author 4: A. Telnykh Author 5: O. Shemagina Author 6: V.Yakhno Author 7: Abhishek Vaish Author 8: Pinki Sharma

The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by the human facial image in the real time image as we all aware this term that “Real-Time frame rate is a vital factor for practical deployment of… Read full abstract & cite →

Gender recognition Age recognition Ethnicity recognition MCT AdaBoost attributes classifier.

Abstract doi.org/10.14569/SpecialIssue.2011.010318 PDF

19

Mining Volunteered Geographic Information datasets with heterogeneous spatial reference

Author 1: Sadiq Hussain Author 2: G.C. Hazarika

When the information created online by users has a spatial reference, it is known as Volunteered Geographic Information (VGI). The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of Spatiotemporal Patterns. This area can be defined as efficiently discovering interesting… Read full abstract & cite →

data mining periodic patterns spatiotemporal data Volunteered Geographic Information.

Abstract doi.org/10.14569/SpecialIssue.2011.010319 PDF

20

Method for Extracting Product Information from TV Commercial

Author 1: Kohei Arai Author 2: Herman Tolle

Television (TV) Commercial program contains important product information that displayed only in seconds. People who need that information has no insufficient time for noted it, even just for reading that information. This research work focus on automatically detect text and extract important information from a TV commercial to provide information… Read full abstract & cite →

text detection information extraction rule based classifying patern matching.

Abstract doi.org/10.14569/SpecialIssue.2011.010320 PDF

21

Efficient Cancer Classification using Fast Adaptive Neuro-Fuzzy Inference System (FANFIS) based on Statistical Techniques

Author 1: K Anandakumar Author 2: M.Punithavalli

The increase in number of cancer is detected throughout the world. This leads to the requirement of developing a new technique which can detect the occurrence the cancer. This will help in better diagnosis in order to reduce the cancer patients. This paper aim at finding the smallest set of… Read full abstract & cite →

Gene Expressions Cancer Classification Neural Networks Neuro-Fuzzy Inference System Analysis of Variance Modified Levenberg-Marquardt Algorithm.

Abstract doi.org/10.14569/SpecialIssue.2011.010321 PDF

22

Clustering Student Data to Characterize Performance Patterns

Author 1: Bindiya M Varghese Author 2: Jose Tomy J Author 3: Unnikrishnan A Author 4: Poulose Jacob K

Over the years the academic records of thousands of students have accumulated in educational institutions and most of these data are available in digital format. Mining these huge volumes of data may gain a deeper insight and can throw some light on planning pedagogical approaches and strategies in the future… Read full abstract & cite →

Data mining k-means Clustering Fuzzy C-means Student performance analysis.

Abstract doi.org/10.14569/SpecialIssue.2011.010322 PDF

23

Comparative Analysis of Various Approaches Used in Frequent Pattern Mining

Author 1: Deepak Garg Author 2: Hemant Sharma

Frequent pattern mining has become an important data mining task and has been a focused theme in data mining research. Frequent patterns are patterns that appear in a data set frequently. Frequent pattern mining searches for recurring relationship in a given data set. Various techniques have been proposed to improve… Read full abstract & cite →

Data mining Frequent patterns Frequent pattern mining association rules support confidence Dynamic item set counting

Abstract doi.org/10.14569/SpecialIssue.2011.010323 PDF