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Ajith Abraham

Machine Intelligence Research Labs, Research and Innovation, Faculty Member

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Papers by Ajith Abraham

Artificial Weed Colonies with Neighbourhood Crowding Scheme for Multimodal Optimization

by Ratul Majumdar, Koushik Laha, and Ajith Abraham

Proceedings of the …, Jan 1, 2012

Multimodal optimization is used to find multiple global & local optima which is very useful in ma... more Multimodal optimization is used to find multiple global & local optima which is very useful in many real world optimization problems. But often evolutionary algorithms fail to locate multiple optima as required by the system. Also they fail to store those optima by themselves. So we have to use other selection scheme that can detect & store multiple optima along with evolutionary algorithms. Hence we use niching which is a very powerful tool in detecting & storing multiple optima. Niching methods were introduced to EAs to allow maintenance of a population of diverse individuals so that multiple optima within a single population can be located .Crowding which is a very primitive branch of niching is used here as the selection scheme with Invasive Weed Optimization (IWO) which is a ecologically inspired algorithms depicting behaviors of plants . For multimodal optimization the total search space is divided into several niches in which separately IWO is applied to find the optima in niches. The niches will also store this optima within themselves.

A Hybrid Framework for Supporting Scheduling in Extended Manufacturing Environments

by Maria Leonilde R. Varela, A. S. Santos, A. M. Madureira, and Ajith Abraham

In the current marketplace, enterprises face enormous competitive pressures. Global competition f... more In the current marketplace, enterprises face enormous competitive pressures. Global competition for customers that demand customized products with shorter due dates and the advancement in information technologies, marked the introduction of the Extended Enterprise. In these EMEs (Extended Manufacturing Environments), lean, virtual, networked and distributed enterprises, form MO (Meta-Organizations), which collaborate to respond to the dynamic marketplace. MO members share resources, customers and information. In this paper we present a hybrid framework based on a DKBS (Distributed Knowledge Base System), which includes information about scheduling methods for collaborative enterprises sharing their problems. A core component of this system includes an inference engine as well as two indexes, to help in the classification of the usefulness of the information about the problems and solving methods. A more structured approach for expanding the MO concept is presented, with the HO (Hyper-Organization). The manner in which MO-DSS can communicate, cooperate and share information, in the context of the HO is also detailed.

2010 Index IEEE Transactions on Information Technology in Biomedicine Vol. 14

by Bert Arnrich, Ajith Abraham, and M. Selver

IEEE Transactions on Information Technology in Biomedicine, 2000

Abstract This index covers all technical items-papers, correspondence, reviews, etc.-that appeare... more Abstract This index covers all technical items-papers, correspondence, reviews, etc.-that appeared in this periodical during the year, and items from previous years that were commented upon or corrected in this year. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27;s name. The primary entry includes the coauthors&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27; names, the title of the paper or other item, and its location, specified by the ...

Design Methodology of a Fault Aware Controller Using an Incipient Fault Diagonizer

by Joydeb Roychaudhury and Ajith Abraham

The problem of failure diagnosis has received a considerable attention in the domain of reliabili... more The problem of failure diagnosis has received a considerable
attention in the domain of reliability engineering, process
control and computer science. The increasing stringent
requirement of quality of a product needs considerable
attention in the performance and reliability of the
manufacturing system. In general, the feedback control
algorithm for a process designed to handle small perturbation
that may arise under normal operating condition but can not
accommodate any abnormal behavior due to fault. Thus the
automated maintenance or early detection of worn equipment
is becoming a critical issue. This justifies the need of
development of effective methodology in the area of fault
aware controller. In this paper we proposed a novel Algorithm
and it have been tested and implemented for making Highly
reliable system like Automated Cricket Ball Stitching Machine.
Considering this need the present paper proposes the work on the development methodology of fault aware controller using embedded processor with reference to an early needle failure detection of a leather stitching machine.

Rapid Way Mobile Application in Wireless Sensor Network: A Practical Research in Transportation System

by Mohammad Shojafar and Ajith Abraham

IEEE xplorer, Sep 1, 2014

Mobile solutions give businesses a unique opportunity to re-think the way they interact with cust... more Mobile solutions give businesses a unique opportunity to re-think the way they interact with customers, employees and partners. We propose a new method called rapid way application on the mobile devices to handle and control the connection of the mobiles with GPS while mobile devices or sensor has mobility. This paper explores the
relationship between the five depends and independent variable on Rapid Way mobile application such as Perceived usefulness, perceived ease of use, time saving, cost saving and intention to use Rapid Way application in Wireless sensor network for managing the sensors. A sample of 100 respondents is selected using a purposive sampling method whereby all segments of society to be included in the survey. A
structured, self-administered as hard copy questionnaire is used to find data from these respondents. The findings indicate that the perceived usefulness (β = 0.307, p<0.002) perceived ease of use (β = 0.176, p<0.080) and time saving (β =0.019, p<0.000) is positively related to intention to use Rapid Way application while cost saving is not significantly related to intention to use Rapid Way application (β =0.408, p<0.849). Besides attention to result of this paper, it shows that there is a significant level of intention to use Rapid Way application, also, time saving (β =0.019, p<0.000) as a new variable has the highest significant.

A Hybrid Meta-Heuristic Algorithm for Job Scheduling on Computational Grids

by zahra pooranian, Ajith Abraham, and Reza Tavoli

Informatica Journal (Impact Factor: 1.63), May 2013

The dynamic nature of grid resources and the demands of users produce complexity in the grid sche... more The dynamic nature of grid resources and the demands of users produce complexity in the grid scheduling problem that cannot be addressed by deterministic algorithms with polynomial complexity. One of the best methods for grid scheduling is the genetic algorithm (GA); the simple and parallel features of this algorithm make it applicable to several optimization problems. A GA searches the problem space globally and is unable to search locally. Therefore, scholars have investigated combining GAs with other meta-heuristic methods to resolve the local search problem. This is the focus of the present contribution, where we have developed a new hybrid scheduling algorithm that combines a GA and the gravitational emulation local search (GELS) algorithm denotes GGA. The noteworthy feature of the proposed optimal scheduler is that it decreases run-time and the number of submitted tasks whose deadlines are missed. A comparison of the performance of our proposed joint optimal scheduler to similar methods shows that it produces more optimal computation time.

130: Rule-based Expert Systems

Automatic clustering using a synergy of genetic algorithm and multi-objective differential evolution

This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of auto... more This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performance a hybrid of the GA and DE (GADE) algorithms over the fuzzy clustering problem, where two conflicting fuzzy validity indices are simultaneously optimized.

Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling

Abstract. The use of intelligent systems for stock market predictions has been widely established... more Abstract. The use of intelligent systems for stock market predictions has been widely established. This paper introduces a genetic programming technique (called Multi-Expression programming) for the prediction of two stock indices. The performance is then compared with an artificial neural network trained using Levenberg-Marquardt algorithm, support vector machine, Takagi-Sugeno neuro-fuzzy model and a difference boosting neural network.

Scheduling in multiprocessor system using genetic algorithms

Abstract Multiprocessors have emerged as a powerful computing means for running real-time applica... more Abstract Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all the tasks. The high performance and reliability of multiprocessors have made them a powerful computing resource. Such computing environment requires an efficient algorithm to determine when and on which processor a given task should execute.

A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification

Abstract This article presents a framework to hybridize the rough set theory with a famous swarm ... more Abstract This article presents a framework to hybridize the rough set theory with a famous swarm intelligence algorithm known as Particle Swarm Optimization (PSO). The hybrid rough-PSO technique has been used for grouping the pixels of an image in its intensity space. Medical and remote sensing satellite images become corrupted with noise very often. Fast and efficient segmentation of such noisy images (which is essential for their further interpretation in many cases) has remained a challenging problem for years.

Cyber security challenges: designing efficient intrusion detection systems and antivirus tools

Several information security technologies are available today to protect information and systems ... more Several information security technologies are available today to protect information and systems against unauthorized use, duplication, alteration, destruction, and virus attacks. Intrusion detection, a key component of information security (protect, detect, and react) and network defense, provides information on successful and unsuccessful attempts to compromise information assurance (availability, integrity, and confidentiality).

CompChall: addressing password guessing attacks

Abstract Even though passwords are the most convenient means of authentication, they bring along ... more

An efficient algorithm for incremental mining of temporal association rules

This paper presents the concept of temporal association rules in order to solve the problem of ha... more This paper presents the concept of temporal association rules in order to solve the problem of handling time series by including time expressions into association rules. Actually, temporal databases are continually appended or updated so that the discovered rules need to be updated. Re-running the temporal mining algorithm every time is ineffective since it neglects the previously discovered rules, and repeats the work done previously.

Computational intelligence in data mining

Ajith Abraham School of Computer Science and Engineering, Chung-Ang University, Seoul, S. Korea, ... more

Analysis of dynamic source routing and destination-sequenced distance-vector protocols for different mobility models

Abstract A mobile ad-hoc network (MANET) is self-configuring network of mobile nodes connected by... more Abstract A mobile ad-hoc network (MANET) is self-configuring network of mobile nodes connected by wireless links to form an arbitrary topology without the use of existing infrastructure. In this paper, we have studied the effects of various mobility models on the performance of two routing protocols dynamic source routing (DSR-reactive protocol) and destination-sequenced distance-vector (DSDV-proactive protocol).

Human perception-based color image segmentation using comprehensive learning particle swarm optimization

Abstract. In computer vision, image processing is any form of signal processing for which the inp... more Abstract. In computer vision, image processing is any form of signal processing for which the input is an image, such as photographs or frames of videos. The output of image processing can be either an image or a set of characteristics or parameters related to image. The color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. The aim is to produce a fuzzy system for color classification and image segmentation with least number of rules and minimum error rate.

Flexible neural trees ensemble for stock index modeling

The use of intelligent systems for stock market predictions has been widely established. In this ... more The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be well represented using flexible neural tree (FNT) ensemble technique. We considered the Nasdaq-100 index of Nasdaq Stock MarketSM and the S&P CNX NIFTY stock index. We analyzed 7-year Nasdaq-100 main index values and 4-year NIFTY index values.

Impact of node mobility on MANET routing protocols models

ABSTRACT: A Mobile Ad-Hoc Network (MANET) is a self-configuring network of mobile nodes connected... more ABSTRACT: A Mobile Ad-Hoc Network (MANET) is a self-configuring network of mobile nodes connected by wireless links to form an arbitrary topology without the use of existing infrastructure. In this paper, we have studied the effects of various mobility models on the performance of two routing protocols Dynamic Source Routing (DSR-Reactive Protocol) and Destination-Sequenced Distance-Vector (DSDV-Proactive Protocol).

Particle swarm optimization and differential evolution algorithms: technical analysis, applications and hybridization perspectives

Since the beginning of the nineteenth century, a significant evolution in optimization theory has... more Since the beginning of the nineteenth century, a significant evolution in optimization theory has been noticed. Classical linear programming and traditional non-linear optimization techniques such as Lagrange's Multiplier, Bellman's principle and Pontyagrin's principle were prevalent until this century. Unfortunately, these derivative based optimization techniques can no longer be used to determine the optima on rough non-linear surfaces.