RESEARCH PAPERS

soft computing research papers-2013 2014




Introducing Soft Computing Statistical Measures: Very Useful Significant Measures by Algebraic Approach
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Abstract In the subject Statistics, the term universe refers to the total of the items or units in any field of enquiry, whereas the term Population refers to the total of items about which information is desired by a statistician (or by the statisticians). A population may not be just

Parallel Soft Computing Control Optimization Algorithm for Uncertainty Dynamic Systems
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Abstract This research contributes to the on-going research effort by exploring alternate methods for soft computing optimization the highly nonlinear and uncertain systems. This research addresses two basic issues related to the control of an uncertain system;(1)

BRAIN TUMOR DETECTION USING METHOD OF SEGMENTATION BASED ON SOFT COMPUTING
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ABSTRACT This study gives a new approach to computer aided detection (CAD) scheme for brain tumor detection and its classification. In the study, large number of MRI images with various types of tumors was selected and examined. The proposed CAD system consist of

New Optimized Soft Computing Speed Controller for PMSM Drive
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ABSTRACT This study proposes a soft computing speed controller where recurrent neural network speed controller is trained by genetic extended kalman filter, based on a predetermined genetic Proportional Integral (PI) controller. A genetic PI gives to this

Recent Developments and New Directions in Soft Computing
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The series ''Studies in Fuzziness and Soft Computing''contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and evidential reasoning, multi-valued logic, and

Introduction to Information Filtering and Retrieval: Soft Computing-Based Approaches Minitrack
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The problem of automatically accessing information/data/services relevant to specific user's needs on the World Wide Web still poses a big challenge. The Web is, in fact, a continuously evolving information repository that needs to be accessed with the support of automatic

New Applications of Soft Computing, Artificial Intelligence, Fuzzy Logic Genetic Algorithm in Bioinformatics
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ABSTRACT Soft computing is make several latent in bioinformatics, especially by generating low-cost, low precision (approximate), good solutions. Bioinformatics is an interdisciplinary research area that is the edge between the biological and computational sciences.

Effect of Compiler Optimizations on the Error Resilience of Soft Computing Applications
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Abstract While hardware errors are on the rise as chip sizes reduce, users of commodity systems expect a near faultless experience with low degradation in performance. Developers tune for higher performance by enabling compiler optimizations on code, but

Tuning of PID Controller for Speed Control of DC Motor Using Soft Computing Techniques A Review
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Abstract This paper presented a review study on speed control of proportional integral derivative (PID) controller for speed control of DC motor using soft computing techniques. Now a days, DC motor is widely used in industries due to its wide range of speed control

Soft Computing in Machine Learning
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As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search

Introduction to the Soft Computing and Intelligent Data Analysis Minitrack
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Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some engineering disciplines, which attempt to study, model, and analyze very complex phenomena: those for which more conventional

Application of Soft Computing Techniques in weather forecasting: Ann Approach
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ABSTRACT With the rise in the threat of global warming and green house gas effect, it has been a challenging and most important task of the metrological centers worldwide to predict weather in future. Weather forecasting is the application of science and technology to

Soft Computing for Image and Multimedia Data Processing
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In this information era, processing of noisy and noise-free images and multimedia data for faithful analysis and retrieval of useful information has assumed utmost importance. One of the main tenets of this image processing task is the extraction of relevant features through

Soft Computing in Advanced Robotics
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Intelligent system and robotics are inevitably bound up; intelligent robots makes embodiment of system integration by using the intelligent systems. We can figure out that intelligent systems are to cell units, while intelligent robots are to body components. The

LLFI: An intermediate code level fault injector for soft computing applications
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ABSTRACT Hardware errors are on the rise with reducing chip sizes. However, a certain class of applications called soft computing applications,(eg, multimedia applications) can tolerate most hardware errors, except those that result in outcomes that deviate significantly from

DATA MINING BASED SOFT COMPUTING METHODS FOR WEB INTELLIGENCE
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Abstract Web has become the primary means for information distribution. It is being used for commercial, entertainment or educational purposes and thus its popularity resulted in heavy traffic in the Internet. Web Intelligence (WI) deals with the scientific exploration of the new

Soft Computing in Financial Decision Making
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Abstract Managing organizational resources is a complex and difficult task at the hands of the managers. Finance, being one of those many resources, is the 'lifeblood'of any organization; hence its efficient and effective management is even more important.

Cancer Research Through The Help Of Soft Computing Techniques: A Survey
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ABSTRACT Soft Computing is a branch of artificial computational intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to learn from past examples and to detect hard-to-discern patterns from large, noisy or

Classification and Optimization of Product Review Information Using Soft Computing Models
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ABSTRACT A soft computing framework to classify and optimize text-based information extracted from customers' product reviews is proposed in this paper. The soft computing framework performs classification and optimization in two stages. Given a set of keywords

Soft Computing in Artificial Intelligence
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This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a

Numerical and Soft Computing Methods for Characteristic Value Problems of ODE and ODEs Systems
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In real world applications and their related problems, there are always some boundary conditions to meet for imitating the real case with simplified mathematical model with its boundary of initial conditions. Based on this idea, Characteristic Value Problems of ODE

Soft Computing in Intelligent Control
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Nowadays, people have tendancy to be fond of smarter machines that are able to collect data, make learning, recognize things, infer meanings, communicate with human and perform behaviors. Thus, we have built advanced intelligent control affecting all around

Hybrid soft computing systems for electromyographic signals analysis: a review
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Abstract Electromyographic (EMG) is a bio-signal collected on human skeletal muscle. Analysis of EMG signals has been widely used to detect human movement intent, control various humanmachine interfaces, diagnose neuromuscular diseases, and model

Academic performance evaluation using soft computing techniques
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This article presents a study of academic performance evaluation using soft computing techniques inspired by the successful application of K-means, fuzzy C-means (FCM), subtractive clustering (SC), hybrid subtractive clustering-fuzzy C-means (SC-FCM) and

Soft computing for predicting shelf life of burfi
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Abstract The soft computing models were developed for predicting the shelf life of burfi stored at 30 C, using backpropagation neural networks with a single hidden layer and sigmoid activation functions. The input variables of the network were moisture, titratable

Recent Trends in Soft Computing Techniques for Solving Real Time Engineering Problems
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ABSTRACT In recent times, engineers have very well accepted soft computing techniques such as fuzzy sets theory, neural nets, neuro fuzzy system, adaptive neuro fuzzy inference system (ANFIS), coactive neuro fuzzy inference system (CANFIS), evolutionary computing,

A Novel Based Approach for Extraction of Brain Tumor in MRI Images Using Soft ComputingTechniques
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ABSTRACT Brain tumor diagnosis is a very crucial task. Magnetic resonance imaging (MRI) scan can be used to produce image of any part of the body and it provides an efficient and fast way for diagnosis of the brain tumor. In the Existing Method, K-nearest neighbor is

A spectrum of soft computing model for medical diagnosis
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ABSTRACT The present paper is focused on design and development of soft computing decision making model to solve real life complex problems related with medical sciences. Keywords: Linguistic Strings, Rule base, Degree of Match

PERFORMANCE ANALYSIS OF SOFT COMPUTING TECHNIQUES FOR CLASSIFYING CARDIAC ARRHYTHMIA
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Abstract Cardiovascular diseases kill more people than other diseases. Arrhythmia is a common term used for cardiac rhythm deviating from normal sinus rhythm. Many heart diseases are detected through electrocardiograms (ECG) analysis. Manual analysis of

SOME RELEVANCE FIELDS OF SOFT COMPUTING METHODOLOGY
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Abstract Soft computing (SC) is a combination of different type element, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning and partial truth to achieve robustness, tractability, and low cost solution. We can easily come to the conclusion that

Soft computing for HR uncertainty management in steel industry
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This paper discussed possible application of soft computing methods in uncertainty management of the HR component in steel industry during automation period. It explained the importance of HR, the concept of uncertainty management and risk. Risk assessment

Modeling Ultraviolet Protection Factor of Polyester-Cotton Blended Woven Fabrics Using Soft Computing Approaches.
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Abstract Ultraviolet protection factor (UPF) of woven fabrics is modeled by using two soft computing approaches, namely adaptive network based fuzzy inference system (ANFIS) and artificial neural network (ANN). Three fabric parameters: proportion of polyester in weft

A Hybrid Model of Soft Computing Technique for Software Fault Prediction
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Abstract Software fault prediction plays a vital role in software quality assurance, identifying the faulty modules to better concentrate on those modules and helps to improve the quality of the software. With increasing complexity of software now a day's feature selection is

Comparative Analysis of CSTR Concentration Control Using Different Soft ComputingTechniques
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Abstract This paper presents a comparative study of Continuous Stirred Tank Reactor concentration control using Particle Swam Optimization and Bacterial Forging Optimization. Continuous stirred tank reactor plays a very important role in process industry. This paper

Soft computing approach to predict intracranial pressure values
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Abstract The estimation and the prediction of the values related to the Intracranial Pression (ICP) represents an important step for the evaluation of the compliance of the human brain, above all in those cases in which the increase of the ICP values determines

A Review of Soft Computing Advance in Genetics Laser Biomedical Instrumentation
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ABSTRACT Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning, medical instrumentation which attempt to study, model and analyze very complex phenomena. The principal constituents of Soft

Soft Computing based Learning for Cognitive Radio.
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ABSTRACT Over the last decade the world of wireless communications has been undergoing some crucial changes, which have brought it at the forefront of international research and development interest, eventually resulting in the advent of a multitude of innovative

Ethics of Reducing Power Consumption in Wireless Sensor Networks using Soft ComputingTechniques
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ABSTRACT Power eminence controls the suitability of electrical power to user devices. A wireless sensor network is an arrangement collected of several computing and sensing devices distributed within an environment to be monitored. In this network saving power is

PM10 Forecasting Using Soft Computing Techniques
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ABSTRACT Air quality forecasting has acquired great significance in environmental sciences due to its adverse affects on humans and the environment. The artificial neural network is one of the most common soft computing techniques that can be applied for modeling such

Evolutionary Computation Of Soft Computing Engineering
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ABSTRACT Soft Computing is a term used in computer science to refer the problem in computer science whose solution is not predictable, uncertain and between 0 and 1. Soft computing has been presented not only with the theoretical developments but also with a

ON SOFT COMPUTING TECHNIQUES IN VARIOUS AREAS
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Abstract Soft Computing refers to the science of reasoning, thinking and deduction that recognizes and uses the real world phenomena of grouping, memberships, and classification of various quantities under study. As such, it is an extension of natural

Application of Soft Computing Techniques for Analysis of Vapour Compression Refrigeration System
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Abstract In recent years, soft computing (SC) techniques have been widely used in the analysis of vapour compression refrigeration system (VCR). Soft computing is becoming useful as an alternate approach to conventional techniques. Soft computing differs from

Brief Survey of Soft Computing Techniques Used for Optimization of TSP
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Abstract Travelling salesman problem (TSP) is a combinatorial optimization problem. It is NP hard problem and TSP is the most intensively studied problem in the area of optimization. There are a number of approximation algorithms and heuristics proposed in the literature

Plant Leaf Classification Using Soft Computing Techniques
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ABSTRACT For the existence of human living and development, plants play a crucial part. In order to effectively collect and preserve the genetic resources, the intra-and inter-specific variations must be estimated in proper manner. In plant classification, the leaf shape plays

Overview of Routing in MANET using Soft Computing Approaches
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ABSTRACT Mobile Ad-hoc Network is a collection of mobile nodes that dynamically create a wireless network amongst them without using any infrastructure. In such an environment, it may be necessary for one mobile host to enlist the aid of other hosts in forwarding a

Artificial Immune System and Soft Computing
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ABSTRACT The interest in studying the immune system in the last decades is increasing. The combinational model of artificial immune system and cellular automata is an approach of using the bio-inspired computational method as artificial immune system with the

Parkinson's Disease Detection Using Soft Computing Techniques
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ABSTRACT Data mining is helpful for extracting and transforming data from the large number of datasets. It plays a major role in clinical applications for better finding of diseases. This paper derives the existence of Parkinson's disease. PD is a neurodegenerative disorder in

Evolution Strategy for PET Reconstruction. International Conference on Medical Imaging Using Bio-Inspired and Soft Computing (MIBISOC2013)(May 2013),
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Evolutionary computation, inverse problems, adaptive algorithm, Nuclear medicine, Positron emission tomography, Reconstruction algorithms. inproceedings

EEG Signal Analysis for Epileptic Seizure Detection Using Soft Computing Techniques
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ABSTRACT Seizure activity takes place due to an irregular excessive electrical action in the human brain. The electrical activity in the form of brain waves (signals) can measured by using the device called Electroencephalogram (EEG). In this paper, we have reviewed our

Hardware for Soft Computing and Soft Computing for Hardware
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Evolutionary and Genetic Algorithms, Artificial Neural Networks, Fuzzy Systems, Particle Swarm and Ant colony Optimization are becoming omnipresent in almost every intelligent system design. Just to name few, engineering, control, economics and forecasting are

Hepatitis Investigation Using Rough Set Discritized Rule Based Soft Computing Technique
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ABSTRACT Hepatitis causes severe infection to the liver and prevents liver from its proper functioning. Hence prior judgment of hepatitis is much essential. Soft Computing Techniques provide excellent methodologies to process the medical data and help medical experts in

Porosity analysis of plasma sprayed coating by application of soft Computing
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Department of Metallurgical Materials Engineering, Indian Institute of Technology, Kharagpur, West Bengal 721302, India 2 Department of Metallurgical Materials Engineering, National Institute of Technology, Rourkela, Odisha 769008, India 3

Soft Computing Techniques in Engineering Applications
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he series ''Studies in Computational Intelligence''(SCI) publishes new developments and advances in the various areas of computational intelligence quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational

Enhancement of Magnetic Resonance Images Using Soft Computing Based Segmentation
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ABSTRACT Segmentation is the process of extracting points, lines or regions, which are then used as inputs for complementary tasks such as registration, measurement, movement analysis, visualization, etc in MRI. The noise in MR images degrades the image quality

Soft Computing for Terahertz Metamaterial Absorber Design for Biomedical Application
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ABSTRACT The terahertz region of the electromagnetic spectrum plays a vital role in biomedical imaging because of its sensitivity to vibrational modes of biomolecules. Advances in broadband terahertz imaging have been emerging in the field of biomedical

Lifecycle Effort Estimation for Component Based Software Engineering: A Model and its Soft Computing Based Implementation
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ABSTRACT Research in Effort Estimation for Component Based Software Engineering (CBSE) has so far focused on component selection and integration effort. However, in order to get a fair idea of feasibility of a project full lifecycle effort must be taken into account. This paper

Soft Computing Approaches on the Bandwidth Problem
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The Matrix Bandwidth Minimization Problem (MBMP) seeks for a simultaneous reordering of the rows and the columns of a square matrix such that the nonzero entries are collected within a band of small width close to the main diagonal. The MBMP is a NP-complete

Comparison of Soft Computing Techniques for the Design of Microstrip Patch Antenna: A Review Paper
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ABSTRACT This paper describes different computing techniques for the design of Microstrip patch antenna. The performance of antenna is greatly influenced by the choice of technique used to design antenna. In this paper three different soft computing techniques are

Hard and soft computing methods for capturing and processing phonocardiogram
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ABSTRACT Cardiovascular diseases are the biggest cause of deaths worldwide. Heart auscultation based on stethoscope is a noninvasive and a very low cost investigation approach that physician uses to evaluate diseases. To improve auscultation and

Intelligent Robust Robotic Controllers: SW HW Toolkit of Applied Quantum Soft Computing
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ABSTRACT A generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of hybrid intelligent controllers by supplying a self-organizing capability is described. We stress our attention

Forecasting meteorological time series using soft computing methods: an empirical study
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ABSTRACT The interest of researchers in different fields of science towards modern soft computing data driven methods for time series forecasting has grown in recent years. Modeling and forecasting hydrometeorological variables is an important step in

Phoneme-based Speech Segmentation Using Hybrid Soft Computing Framework
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Speech is a naturally occuring nonstationary signal essential not only for personto-person communication but has become an important aspect of Human Computer Interaction (HCI). Some of the issues related to analysis and design of speech-based applications for HCI

Prediction of amyloid fibrillar aggregates of polypeptide sequences: A soft computingapproach
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ABSTRACT The deposition of amyloid fibrillar aggregates in human brain results in amyloid illnesses. As these aggregates may spread like virus, it is of primary importance to spot such motif regions in protein sequences. Limitations of molecular techniques in identifying them

Application of Soft Computing Technique to Avoid Voltage Collapse in Power System
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ABSTRACT In the present heavy load scenario, due to the presence of many small scale and large scale industries, the operation of power system network to maintain stable power supply becomes complicated. It will lead to have major problems such as voltage

Routing Wireless Sensor Networks based on Soft Computing Paradigms: Survey
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ABSTRACT Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured network. Its high computational environment with limited and controlled transmission range, processing, as well as limited energy sources. The sever

Soft Computing Techniques for Weather and Climate Change Studies
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ABSTRACT The Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. Weather forecasting involves predicting how the present state of the atmosphere will change. Climate is the

Balanced Energy Dissipation at Propagating Crack Tip in Quasi-Brittle Materials?-Analysis viaSoft-Computing Methods
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Link Quality Estimation using Soft Computing Technique
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>ABSTRACT Wireless sensor nodes deployed in RF industrial environment for monitoring machineries and environment for controlling and maintenance purpose is challenging due to exchange of huge critical data via degraded link. The quality of link in industrial

Evaluation and checking non-response data by soft computing approaches-case of business and trade statistics
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ABSTRACT Data describing business and trade has been continuously collected by national statistical institutes. Data collection copes with issues of non-response or late response to surveys. Therefore, efforts focused on estimation of missing values are topics which need

Health Care Monitoring for the CVD Detection using Soft Computing Techniques
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ABSTRACT Now-a-days, many diseases are reducing the life time of the human. One of the major diseases is cardiovascular disease (CVD). It has become very common perhaps because of increasingly busy lifestyles. The rapid development of mobile communication

Location Prediction of Mobility Management Using Soft Computing Techniques in Cellular Network
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ABSTRACT This work describes the neural network technique to solve location management problem. A multilayer neural model is designed to predict the future prediction of the subscriber based on the past predicted information of the subscriber. In this research work

Soft computing based technique for accurate effort estimation: A survey
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Abstract The global software market has grown exponentially over the past decade. The cost of developing software has grown significantly. The main reason attributed to this increasing trend in the software costs is the labor intensive nature of the software development

A Survey on the Significant Wave Height of the Ocean Using Soft Computing Techniques
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ABSTRACT The applications of information technology as a continuous process of monitoring the various ocean parameters such as salinity, temperature, the number of waves, the movement of fish, soil and turbidity. However, there is a sporadic attempt in assessing the

Design and Implementation of Controller for a Nonlinear Spherical Tank System using Soft computing Techniques
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ABSTRACT In this work, Particle Swarm Optimization (PSO) based intelligent controller design technique is attempted for a nonlinear spherical tank process. The search process is guided by an objective function, which considers the minimization of some key parameters such

Soft computing applications in food technology
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This paper describes the potentials of the application of modern soft computing techniques into development stage of contemporary food products. Recently, soft computing has been extensively studied and applied for scientific research and engineering purposes. In

Soft Computing applications in predicting Palatability Preferences in Rice Varieties
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ABSTRACT Rice is the only cereal consumed as staple food mainly as whole grains by more than 50 percent people of the world. The overall cooking and eating quality of such a significant crop determines its widespread preference, acceptance and consumption. The

Predicting Academically At-Risk Engineering Students: A Soft Computing Application
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ABSTRACT This paper presents a study on predicting academically at-risk engineering students at the early stage of their education. For this purpose, some soft computing tools namely support vectors machines and artificial neural networks have been employed. The

Soft Computing Methods in Bioinformatics: A Comprehensive Review
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ABSTRACT Applications of genomic and proteomic, epigenetic, pharmacogenomics, and systems biology have shown increased a lot, resulting in an explosion in the amount of highly dimensional and complicated data being generated. The data of bioinformatics

SOFT-COMPUTING VIRUS IDENTIFICATION SYSTEM
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Abstract Virus is one of the world's deadliest malicious software. One of the known attribute of virus is the ability of reproducing itself and spreading from host to host. Several approaches in recognizing virus has not been completely objective in nature. In other to

PRICING ENDOWMENTS WITH SOFT COMPUTING
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ABSTRACT This paper develops life insurance pricing with different representation of its two sources of uncertainty: stochastic behaviour of mortality of the insured and fuzzy quantification of interest rates within the time horizon. Concretely we analyse endowment

On applications of Soft Computing Assisted Analysis for Software Reliability
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ABSTRACT Developing high quality reliable software is one of the main challenges in software industry. Software Reliability is a key concern of many users and developers of software. Demand for software reliability requires robust modeling techniques for software

Multiple Fault Detection in typical Automobile Engines: a Soft computing approach
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ABSTRACT Fault detection has gained growing importance for vehicle safety and reliability. For the improvement of reliability, safety and efficiency; advanced methods of supervision, fault detection and fault diagnosis become increasingly important for many automobile systems

Reactive Power Compensation on 132 KV Substation Using Soft Computing Techniques (Fuzzy Logic)
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ABSTRACT In this paper we proposes an automated solution based on fuzzy controller to switch capacitor banks where in which all the decisions are based on the actual data points such as load, voltage levels and reactance in the systems. Additionally the proposed solutions

Modelling of Geotechnical Problems using Soft Computing
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In geotechnical engineering, empirical connections are frequently used to evaluate certain engineering properties of soils. By means of data from extensive laboratory or field testing, these correlations are generally derived with the help of statistical methods. Artificial

POWER QUALITY DISTURBANCE DETECTION AND CLASSIFICATION USING SIGNAL PROCESSING AND SOFT COMPUTING TECHNIQUES
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Abstract The quality of electric power and disturbances occurred in power signal has become a major issue among the electric power suppliers and customers. For improving the power quality continuous monitoring of power is needed which is being delivered at

POWER SYSTEM CONTINGENCY RANKING USING NEWTON RAPHSON LOAD FLOW METHOD AND ITS PREDICTION USING SOFT COMPUTING
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ABSTRACT The most important requirement and need of proper operation of power system is maintenance of the system security. The security assessment analysis is done to determine and to check till what extent a power system is in operable safe condition and

APPLICATIONS OF SOFT COMPUTING FOR REGULATORY TECHNOLOGICAL PROCESS
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Abstract Most often used in technical systems classic proportional-integral-derivative (PID) controller, which has a number of drawbacks. This study reports on the prospects of the use of soft computing to process control, and also indicated the main methods of soft

THE RELATIONSHIP BETWEEN ADVERSE EVENTS AND INFRASTRUCTURE DEVELOPMENT IN AN ACTIVE WAR THEATER USING SOFT COMPUTING
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Abstract The military recently recognized the importance of taking sociocultural factors into consideration. Therefore, Human Social Culture Behavior (HSCB) modeling has been getting much attention in current and future operational requirements to successfully

Soft computing approach for optimal reservoir operation
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Abstract Soft computing techniques have been adopted widely in almost all sectors in decision making because of the ability to analyze and model the complex problem in the comprehensive manner for which conventional mathematical techniques have their

Soft Computing Methods for Predicting Environmental Quality: A Case Study of the Zimbabwe Sugar Processing Industry
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Sugarcane growing and processing is associated with environmental degradation and pollution. The impact that sugar processing industries have on the environment affects the ecosystem. Methods of soft computing that is fuzzy logic, neural networks, and genetic

Soft Computing Implementation for Mobile Ad-hoc Network Optimization Using Bacteria Foraging Optimization Algorithm
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ABSTRACT A mobile ad hoc network (MANET) is a network that has many free or autonomous nodes, often composed of mobile devices or other mobile pieces that can arrange themselves in various ways and operate without strict top-down network administration. It

LOCATION MANAGEMENT IN CELLULAR NETWORKS USING SOFT COMPUTINGALGORITHMS
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ABSTRACT The enormous increase in mobile subscribers in recent years has resulted in exploitation of wireless network resources, in particular, the bandwidth available. For the efficient use of the limited available bandwidth and to increase the capacity of the network,

A COMPARISON BETWEEN SOFT COMPUTING METHODS AND CONVENTIONAL APPLIED TO A DC MOTOR SYSTEM
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The methods for designing of PID Controllers will been compared and analyzed with the intelligent tuning techniques like Fuzzy Sets, Neural Networks and Genetic algorithms, Soft computing method was more efficient in improving the step response characteristics such

Review of RDC Soft Computing Techniques for Accurate Measurement of Resolver Rotor Angle
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ABSTRACT A resolver is a position sensor or transducer that measures the instantaneous angular position of the rotating shaft to which it is attached. Resolver produces two amplitude modulated signals; SIN and COS as output signals. These two signals need to

Soft Computing Modeling of Dealer Loyalty in Turkish Insurance Sector
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Abstract This study presents the application of soft computing techniques namely as Stepwise Regression (SR), Neuro-Fuzzy (NF) and Neural Networks (NN) for modeling of dealer loyalty in Turkish insurance sector. The proposed soft computing models are based

PARAMETRIC IDENTIFICATION FOR FOR MODEL OF A CHEMICAL HAZARDOUS SUBSTANCE CONCENTRATION USING SOFT COMPUTING
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ABSTRACT The technology of concentration determining for a hazardous chemical substance in the pre-accident period is suggested. As a concentration model was selected neuro-fuzzy network with fuzzy inference in Tsukamoto form. Parametric optimization of concentration

Soft computing Techniques for Resource Management of Heterogeneous Network
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ABSTRACT Rapid growth of cellular systems and their diversified use (Voice, Data, Video, Gaming, GPS, and GPRS), yield higher and higher expectations and generate many challenges. One of the major challenges is no one single vendor can provide total

Soft-computing based visual control for unmanned vehicles
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CNX PSU Bank Index Prediction Using Soft Computing-A Study
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ABSTRACT Stock markets are incredible systems wherein thousands of stocks, ETFs and bonds are traded by millions of traders every day, around the world, in a never-ending battle to make money. Predicting stock markets has been one of the biggest challenges of the AI

Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems
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Among such changes, the most visible are those that relate to what is popularly referred to as the information revolution. The artifacts of this revolution are all around us: the e-mail, the world wide web, the cellular phone; the fax; and the desktop computer, among many

Edge detection techniques for image segmentation a survey of soft computing approaches
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ABSTRACT Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found wide applications. One of the most important applications is edge detection for

Soft computing for control of non-linear dynamical systems
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Oscar Castillo Patricia Melin Soft Computing for Control of Non-Linear Dynamical Systems With 112 Figures and 13 Tables Physica-Verlag A Springer-Verlag Company Page 2. Contents Chapter 1 Introduction to Control of Non-Linear Dynamical Systems 1

Soft computing approaches to fault diagnosis for dynamic systems: a survey
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ABSTRACT Recent approaches to fault detection and isolation for dynamic systems using methods of integrating quantitative and qualitative model information, based upon soft computing (SC) methods are surveyed. In this study, the use of SC methods is considered

A soft computing method for detecting lifetime building thermal insulation failures
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The detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform

Tuning algorithms for pid controller using soft computing techniques
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Summary PID controllers are widely used in industrial plants because it is simple and robust. Industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. So the control engineers are on look

Fuzzy cognitive maps: a soft computing technique for intelligent control
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Abstract. This paper describes a soft computing technique for modelling and controlling systems, Fuzzy Cognitive Maps. The description, representation and models of FCM are examined thoroughly, a FCM model is proposed and their characteristics and advantages

Soft computing for greenhouse climate control
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ABSTRACT The methodology proposed in the paper applies ar-tificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in

Test suite for the special issue of soft computing on scalability of evolutionary algorithms and other metaheuristics for large scale continuous optimization
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Abstract In this document, we provide the description of the 21 test functions (F1-F21) that should be used for the experimental study for the Special Issue of Soft Computing on Scalability of Evolutionary Algorithms and other Metaheuristics for Large Scale

Studies in Fuzziness and Soft Computing, Volume 188
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This book is written in two major parts. The first part includes the introductory chapters consisting of Chapters 1 through 6. In part two, Chapters 7-26, we present the applications. This book continues our research into simulating fuzzy systems. We started with

Soft computing and the bullwhip effect
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ABSTRACT We consider a series of companies in a supply chain, each of which orders from its immediate upstream members. Usually, the retailer's order do not coincide with the actual retail sales. The bullwhip effect refers to the phenomenon where orders to the supplier

Studies in Fuzziness and Soft Computing, Volume 251
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This monograph is the first in Fuzzy Approximation Theory. It contains mostly the authoros research work on fuzziness of the last ten years and relies a lot on [10]([32] and it is a natural outgrowth of them. It belongs to the broader area of Fuzzy Mathematics. Chapters are self

Parallel Soft Computing Control Optimization Algorithm for Uncertainty Dynamic Systems
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Abstract This research contributes to the on-going research effort by exploring alternate methods for soft computing optimization the highly nonlinear and uncertain systems. This research addresses two basic issues related to the control of an uncertain system;(1)

Knowledge processing with interval and soft computing
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Modern technologies have collected massive datasets from observations, experiments, and scientific simulation. Although progress has been made, it still remains a challenge to effectively and efficiently discover knowledge from such massive datasets. This is mainly

Advances of soft computing methods in edge detection
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Abstract Artificial Intelligence (AI) techniques are now commonly used to solve complex and ill-defined problems. AI a broad field and will bring different meanings for different people. John McCarthy would probably use AI as computational intelligence , while Zadeh

Special issue on emerging trends in soft computing: memetic algorithms
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In the last few decades, evolutionary algorithms (EAs) have gradually established a strong foothold as powerful search methods in many complex disciplines ranging from arts design, business finance to science engineering. Although well established as

Soft computing for intelligent robotic systems
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The tremendous growth in the use of soft computing techniques in the last few years can be attributed to the advances in hardware, software and sensor technology tools. Today, we have at our disposal these very powerful tools for building intelligent systems. The main

Exploiting soft computing for increased fault tolerance
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ABSTRACT Traditionally, fault tolerance researchers have made very strict assumptions about program correctness. Such strict notions of correctness are appropriate for workloads that are numerically oriented. However, a growing number of important workloads produce


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