IJARAI Vol. 4 Issue 4 (2015)

1

Semantic Image Retrieval: An Ontology Based Approach

Author 1: Umar Manzoor Author 2: Mohammed A. Balubaid Author 3: Bassam Zafar Author 4: Hafsa Umar Author 5: M. Shoaib Khan

Images / Videos are major source of content on the internet and the content is increasing rapidly due to the advancement in this area. Image analysis and retrieval is one of the active research field and researchers from the last decade have proposed many efficient approaches for the same. Semantic… Read full abstract & cite →

Image Retrieval Ontology Semantic Image Image Understanding Semantic Retrieval

Abstract doi.org/10.14569/IJARAI.2015.040401 PDF

2

Military Robotics: Latest Trends and Spatial Grasp Solutions

Author 1: Peter Simon Sapaty

A review of some latest achievements in the area of military robotics is given, with main demands to management of advanced unmanned systems formulated. The developed Spatial Grasp Technology, SGT, capable of satisfying these demands will be briefed. Directly operating with physical, virtual, and executive spaces, as well as their… Read full abstract & cite →

military robots unmanned systems Spatial Grasp Technology holistic scenarios self-navigation collective behavior self-recovery

Abstract doi.org/10.14569/IJARAI.2015.040402 PDF

3

New Cluster Validation with Input-Output Causality for Context-Based Gk Fuzzy Clustering

Author 1: Keun-Chang Kwak

In this paper, a cluster validity concept from an unsupervised to a supervised manner is presented. Most cluster validity criterions were established in an unsupervised manner, although many clustering methods performed in supervised and semi-supervised environments that used context information and performance results of the model. Context-based clustering methods can… Read full abstract & cite →

Cluster Validation Fuzzy clustering Gustafson-Kessel clustering Fuzzy covariance Context based clustering Input-output causality

Abstract doi.org/10.14569/IJARAI.2015.040403 PDF

4

A Method of Multi-License Plate Location in Road Bayonet Image

Author 1: Ying Qian Author 2: Zhi Li

To solve the problem of multi-license plate location in road bayonet image, a novel approach was presented, which utilized plate’s color features, geometry characteristics and gray feature. Firstly, the RGB color image was converted to HSV color model and calculates the distance according to the plate’s color information in the… Read full abstract & cite →

multi-license plate location color features geometry characteristics gray feature

Abstract doi.org/10.14569/IJARAI.2015.040404 PDF

5

Accurate Topological Measures for Rough Sets

Author 1: A. S. Salama

Data granulation is considered a good tool of decision making in various types of real life applications. The basic ideas of data granulation have appeared in many fields, such as interval analysis, quantization, rough set theory, Dempster-Shafer theory of belief functions, divide and conquer, cluster analysis, machine learning, databases, information… Read full abstract & cite →

component Knowledge Granulation Topological Spaces Rough Sets Rough Approximations Data Mining Decision Making

Abstract doi.org/10.14569/IJARAI.2015.040405 PDF

6

Lung Cancer Detection on CT Scan Images: A Review on the Analysis Techniques

Author 1: H. Mahersia Author 2: M. Zaroug Author 3: L. Gabralla

Lung nodules are potential manifestations of lung cancer, and their early detection facilitates early treatment and improves patient’s chances for survival. For this reason, CAD systems for lung cancer have been proposed in several studies. All these works involved mainly three steps to detect the pulmonary nodule: preprocessing, segmentation of… Read full abstract & cite →

Classification Computed Tomography Lung cancer Nodules Segmentation

Abstract doi.org/10.14569/IJARAI.2015.040406 PDF

7

Analysis of Security Protocols using Finite-State Machines

Author 1: Dania Aljeaid Author 2: Xiaoqi Ma Author 3: Caroline Langensiepen

This paper demonstrates a comprehensive analysis method using formal methods such as finite-state machine. First, we describe the modified version of our new protocol and briefly explain the encrypt-then-authenticate mechanism, which is regarded as more a secure mechanism than the one used in our protocol. Then, we use a finite-state… Read full abstract & cite →

identity-based cryptosystem cryptographic protocols finite-state machine

Abstract doi.org/10.14569/IJARAI.2015.040407 PDF

8

A Semantic-Aware Data Management System for Seismic Engineering Research Projects and Experiments

Author 1: Md. Rashedul Hasan Author 2: Feroz Farazi Author 3: Oreste Bursi Author 4: Md. Shahin Reza Author 5: Ernesto D’Avanzo

The invention of the Semantic Web and related technologies is fostering a computing paradigm that entails a shift from databases to Knowledge Bases (KBs). There the core is the ontology that plays a main role in enabling reasoning power that can make implicit facts explicit; in order to produce better… Read full abstract & cite →

Ontology Knowledge Base Earthquake Engineering Semantic Web Virtuoso

Abstract doi.org/10.14569/IJARAI.2015.040408 PDF

9

Using Mining Predict Relationships on the Social Media Network: Facebook (FB)

Author 1: Dr. Mamta Madan Author 2: Meenu Chopra

The objective of this paper is to study on the most famous social networking site Facebook and other online social media networks (OSMNs) based on the notion of relationship or friendship. This paper discussed the methodology which can used to conduct the analysis of the social network Facebook (FB) and… Read full abstract & cite →

Online Social Media Networks (OSMNs) Facebook (FB) Data Mining Crawling Process Protocol

Abstract doi.org/10.14569/IJARAI.2015.040409 PDF

10

Software Requirements Management

Author 1: Ali Altalbe

Requirements are defined as the desired set of characteristics of a product or a service. In the world of software development, it is estimated that more than half of the failures are attributed towards poor requirements management. This means that although the software functions correctly, it is not what the… Read full abstract & cite →

Software Software Requirements Software Devel-opment Software Management

Abstract doi.org/10.14569/IJARAI.2015.040410 PDF

11

Density Based Support Vector Machines for Classification

Author 1: Zahra Nazari Author 2: Dongshik Kang

Support Vector Machines (SVM) is the most successful algorithm for classification problems. SVM learns the decision boundary from two classes (for Binary Classification) of training points. However, sometimes there are some less meaningful samples amongst training points, which are corrupted by noises or misplaced in wrong side, called outliers. These… Read full abstract & cite →

SVM Density Based SVM Classification Pattern Recognition Outlier removal

Abstract doi.org/10.14569/IJARAI.2015.040411 PDF

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