soft computing research papers 2015 IEEE PAPER





A Soft Computing Approach for Ranking Firms based on Experts' Valuation of Corporate Social Responsibility
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Abstract: In this work we focus on the obtaining of an integrative measure of Corporate Social Responsibility which does not require a unique precise definition of this concept. The proposed method will allow the ranking of firms based on this integrative measure which

Soft Computing Method Based on SVM-OVA for the Classification of Sleep Disorders
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Abstract-Intelligent computing and knowledge based methods have expressed an important role in medical domain. All these methods are widely used by various researchers for the diagnosis, detection and classification of various diseases and disorders. In this paper, a

Combining soft computing techniques and the finite element method to design and optimize complex welded products
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Abstract. One of the main objectives when designing welded products is to reduce strains and deformations. Strains can cause excessive angular distortion. This results in a welded product that does not meet acceptable tolerances. The geometry of the weld bead (height

Soft Computing Techniques for the Optimization of SAW Filters: A State-of-the-art Review
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ABSTRACT Surface Acoustic Wave (SAW) devices are an important class of piezoelectric devices, providing frequency control, frequency selection, and signal processing capabilities. The SAW devices, designed to handle complex signal processing functions,

Hybrid Soft Computing Approaches
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With the shortcoming and limitation of classical platforms of computation, particularly for tackling uncertainty and imprecision prevalent in our day-to-day life, Soft Computing as an alternative and extended computation paradigm has been making its presence felt,

Soft Computing Methods in Civil Engineering
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Demand for lightweight, efficient, and low cost structures seems mandatory because of growing realization of the rarity of raw materials and rapid depletion of convention energy sources. This requires engineers to be aware of optimization techniques. Designing,

Semi Physical Modeling and Control of Nonlinear System Using Soft ComputingTechnique
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ABSTRACT In Chemical industries level control of non linear interacting and non interacting systems is on huge demand due to multivariable process interactions. In this work a non linear liquid level process represented by a 40 liter four non interacting spherical tank was

Retrieving Queries by Applying Join Selectivity along with Various Join Mechanisms UsingSoft Computing Approach
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Abstract In heterogeneous multiple query processing environments, usually the query processors depend upon estimated database cardinalities when evaluating the cost of the query plans. In this paper it is being projected to retrieve query plans along with their costs

Software Reliability Modeling using Soft Computing Techniques: Critical Review
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Model Identification and Agitator Speed Optimization for Bioreactor Process Using Soft Computing Techniques
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Abstract In biochemical industry process variables such as pH, temperature, dissolved oxygen and speed are the main parameters that need to be controlled for optimal cellular activity. These control implementations are achieved via regulation of flow rate of acid/

Design of Soft Computing Based Nonlinear Model Predictive Controller for the CSTR Process
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Abstract: In this brief, a soft computing Least Square Support Vector Machines (LSSVM) based Nonlinear Model Predictive Controller (NMPC) is proposed for the Continuous Stirred Tank Reactor (CSTR) process. Model predictive control (MPC) is a digital control scheme

AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL SYSTEM USING SOFT COMPUTING TECHNIQUE
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Abstract:As the use of searching digital images has increased a lot in recent years, so a system is required which search images from large database on the bases of query image and return results in form of images which matched with query image. The present paper

Automatic Generation of Agents using Reusable Soft Computing Code Libraries to develop Multi Agent System for Healthcare
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Abstract:This paper illustrates architecture for a multi agent system in healthcare domain. The architecture is generic and designed in form of multiple layers. One of the layers of the architecture contains many proactive, co-operative and intelligent agents such as

Journal of Soft Computing and Decision Support Systems
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Abstract The purpose of this paper is to understand how social networks can be useful for the development of social networks. The capability of social network tools for setting up home businesses is highlighted. This objective is achieved through a literature review and

Soft Computing techniques for diagnostics and optimisation of building energetic behavior
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Since the 60s, Artificial Intelligence (AI) has been increasingly used in many applications both in academic and industry fields. In particular, Operative Research (OR) applications for monitoring industrial processes. In 1980s, with the increasing of computational capacity,

Modeling and optimization of parameters for minimizing surface roughness and tool wear in turning Al/SiCp MMC, using conventional and soft computing
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The application and use of metal matrix composites (MMC) in manufacturing industries have now become increased due to its improved properties viz., high strength, low weight, high wear resistance, low heat of thermal expansion, etc.[1]. The matrix phase and

Hybrid Soft Computing Algorithms for Collaborative Modeling and Simulation of Performance Prototype
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Abstract For the multidisciplinary coupling and multi-objective optimization problem of collaborative modeling and simulation in the process for performance prototype, a new performance digital Mock-Up multidisciplinary simulation and optimization models is

REVIEWAND ANALYSIS OF MACHINE LEARNING AND SOFT COMPUTINGAPPROACHES FOR USER MODELING
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ABSTRACT The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and

Improvement of Edge Detection Technique in Images Using Soft Computing
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ABSTRACT The digital image processing is an interested research field that involves knowledge from applied mathematical, computer science, engineering, biology and medical. The work develops an edge detection method which firstly calculated the bidirectional

PREDICTION OF SURFACE ROUGHNESS IN TURNING PROCESS USING SOFT COMPUTING TECHNIQUES
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Surface quality and dimensional precision will greatly affect parts during their useful life especially in cases where the components will be in direct contact with other elements during their application. This paper deals with three soft computing techniques namely

Journal of Soft Computing and Decision Support Systems
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Abstract Network traffics management and congestion control are becoming complex and critical issue due to the emergence of modern multimedia internet applications. Industries and universities are facing critical challenges of providing the required internet services Voltage security is recognized as a key issue for power systems operation. The continuous increase in loads, along with economic and environmental constraints, has led the systems to operate close to their limits, and this includes voltage security limits. Academicians as

Model-based test case prioritization using cluster analysis: a soft-computing approach
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Abstract: Model-based testing is related to the particular relevant features of the software under test (SUT) and its environment. Real-life systems often require a large number of tests, which cannot exhaustively be run due to time and cost constraints. Thus, it is necessary to

Soft Computing for Learner's Assessment in SoftLearn
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Abstract. This paper describes the contributions of the SoftLearn platform to key issues in learning analytics, as i) discovery of the learning path that students follow in a course and ii)

Soft Computing Techniques for Change Detection in remotely sensed images: A Review
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Abstract With the advent of remote sensing satellites, a huge repository of remotely sensed images is available. Change detection in remotely sensed images has been an active research area as it helps us understand the transitions that are taking place on the Earth's

An Effective Approach to Software Cost Estimation Based on Soft ComputingTechniques.
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Abstract: Employing estimation models in software engineering help in envisaging some essential traits of future entities like software development effort, software reliability and programmers productivity. Of these models, the one that supports the estimation of

Video meteor detection filtering using soft computing methods
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In this paper we present the current progress and results from the filtering of Croatian Meteor Network video meteor detections using soft computing methods such as neural networks and support vector machines (SVMs). The goal is to minimize the number of false-

Journal of Soft Computing and Decision Support Systems
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Abstract Enterprise Resource Planning (ERP) has been widely studied in the past. However, the effective deployment of ERP in order to achieve benefits in post-implementation stage has puzzled many organizations. Therefore, the objective of this paper is to introduce a

Journal of Soft Computing and Decision Support Systems
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Abstract In this paper, we develop CCR-(e-SVR) and CCR-(-SVR) models based on modified parameters for efficiency prediction of large DMUs to improve the accuracy and reduce the computation time using three normalization functions. CCR-(e-SVR) and CCR-(

ELIMINATION OF HARMONICS IN CASCADED MULTILEVEL INVERTER USING SOFT COMPUTING TECHNIQUE
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This paper presents the cuckoo optimization method for harmonic elimination in a cascaded multilevel inverter. The main objective is to eliminate 3rd, 5th, 7th, 13th harmonicsusing the Selective Harmonic Elimination Pulse Width Modulation strategy order by solving non

Soft Computing for Database Deadlock Resolution
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Abstract:Distributed nature of transactions arising at different sites and needing resources from diverse locations pose various operational problems, such as deadlocks, concurrency and data recovery. A deadlock may occur when a transaction enters into wait state that

Application of Statistical and Soft Computing techniques for the Prediction of Grinding Performance
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Abstract Thermal load in manufacturing processes is of special interest as it is closely connected with the surface integrity and life-cycle of the finished product. Especially in grinding, heat affected zones are created due to excessive heat dissipated within the

Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
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Abstract Over the last few decades, the characterisation of steel joints has been a highly active research topic thanks to its inherent complexity and utmost importance in the behaviour of a whole structure. The emergence of the semi-rigid concept provided Dear Readers, We introduce you to a series of carefully selected and reviewed, by independent scientists, papers presented during the 19th Advanced Computer Systems conference the most significant event for our Faculty of Computer Science and

PID Controller Optimization By Soft Computing Techniques-A
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Abstract PID controllers are widely used in industrial plants because it is simple and robust. So the control engineers are on look for tuning procedures. This paper gives the review of some soft computing techniques which are used for PID tuning. Soft computing techniques

Resource Management in Heterogeneous Parallel Computing Environments with Soft and Hard Deadlines
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Abstract Heuristic-based approaches are often used to perform the assignment and scheduling of parallel high-performance computing applications on machines (as it is an NP- hard problem). The timevarying importance of tasks has been represented using

Journal of Soft Computing and Decision Support Systems
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Abstract In addition to monitoring, analysis, plan and execution phases in self-healing cycle, represents the knowledge base consumed and produced by all four previously mentioned tasks. In proposed approach, by using genetic algorithm, the required knowledge is

Journal of Soft Computing and Decision Support Systems
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Iris recognition has obtained an incredible consideration in a variety of fields such as border areas, industrial areas, security susceptible areas and so on. In the eye, sclera and iris are utilized since the prior inputs employing to identify the eye with various systems such as

Proteins 2D Structure Prediction from 1D Sequence by Signal Processing and Soft Computing Methods.
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Molecular biologists have been fascinated with the possibility of obtaining a complete two- dimensional and three-dimensional picture of a protein by simply applying the proper algorithm to a known one dimensional amino acid sequence. Determining the protein algorithm to a known one dimensional amino acid sequence. Determining the protein

Journal of Soft Computing and Decision Support Systems
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Abstract This paper evaluates the effect of Frame-size, Code rate and Decoding iteration as efficient parameters on turbo code system performance. For this study, first a turbo code system was simulated by MATLAB software to study the effect of mentioned factors in



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