ENGINEERING RESEARCH PAPERS

soft computing IEEE PAPER 2017


This volume is dedicated to Prof. Mario Fedrizzi, Full Professor at the Department of Industrial Engineering at the University of Trento, Italy, as a token of appreciation for his scientific and scholarly achievements, and his long time service to many communities,

Potential Applications of Soft - Computing Techniques for Human Socio-Cultural Behavior Modeling.
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Abstract: Human socio-cultural behavior (HSCB) modeling has received much attention in attempts to successfully understand the effects of social and cultural factors on human behavior. The principal aim of HSCB modeling is to better organize and control the human

SOFT COMPUTING FOR SMARTER OPERATION MANAGEMENT IN WATER DISTRIBUTION SYSTEMS
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Congreso de Métodos Numéricos en Ingeniería 3-5 julio 2017, Valencia, España SEMNI, 2017 SOFT COMPUTING FOR SMARTER OPERATION MANAGEMENT IN WATER DISTRIBUTION SYSTEMS Joaquín Izquierdo1, Manuel Herrera2, Idel Montalvo3 and David Ayala-Cabrera4 The series Advances in Intelligent Systems and Computing contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing . Virtually all disciplines such as engineering, natural sciences, computer and information 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

Modelling of input-output relationships of metal inert gas welding process using soft computing -based approaches
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Abstract: Input-output relationships of metal inert gas welding process were determined in both forward and reverse directions, which are required in order to automate the same. Various types of neural networks, namely multi-layer feed-forward network, counter-

Soft Computing Techniques to Estimate FIR Filter Weights in an Adaptive Channel Equalizer: A Comparative Study
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Abstract An adaptive channel equalizer is ubiquitous in combating the effect of Inter-Symbol Interference (ISI) and other impairments caused by cross talk, additive noise, electronic components present in transceivers and the nature of medium, on the digital data

Multi-Objective Soft Computing Techniques for Dynamic Deployment in WSN
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Abstract-WSN stands for Wireless Sensor Network. In WSN deployment, the nodes are deployed in such a way that they cover the maximum area. The sensor nodes have limited amount of energy. The lifetime of nodes cannot be increased. The main problem in WSN This volume contains a collection of carefully selected, peer-reviewed papers presented at the Advanced Computer System 2016 (ACS 2016) Conference organized by the Faculty of Computer Science and Information Technology, West Pomeranian University of Technology

Soft Computing Technique and PCA Based Unsupervised Change Detection Method in Multitemporal SAR Images
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ABSTRACT In order to get the change detection image. An unsupervised change detection algorithm context-sensitive technique multitemporal remote sensing images. Change detection analyze means that according to observations made in different times, the process

Unsupervised Change Detection Algorithm from VHR Satelite Images using Soft Computing Technique
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Abstract: The change detection algorithms, based on remotely sensed satellite imagery, can be applied to various applications, such as the hazard/disaster analysis and the land monitoring. However, unchanged areas sometimes detected as the changed areas due to

Multilevel Image Segmentation using Soft Computing Techniques
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Abstract Existing soft computing methodologies applied for the segmentation of multilevel and color images are jeopardized in several respects. The most notable among them is the selection of the class levels/transition levels of the different segments/classes. Researches

Soft computing method for modeling and optimization of air and water gap membrane distillation a genetic programming approach
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ABSTRACT An empirical genetic programming (GP) model is developed to predict the performance of air and water gap membrane distillation (AGMD and WGMD) processes. Feed temperature, Tf, feed concentration, Cfeed, feed flow rate, Qf, and coolant flow rate, Qc,

Analysis of Driver Drowsiness Detection System by using Soft Computing
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ABSTRACT This report presents an automatic drowsy driver recognition and accident prevention system that is based on facial expressions changes. The key reason of traffic incidents could be because of drowsiness due to the number of years driving. Examining the

INTELLIGENT AND EFFICIENT ROUTING FOR MANET: A SOFT COMPUTING TECHNIQUE
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Abstract:-Mobile Ad-hoc Network (MANET) is a dynamic infrastructure less wireless network. Each node of this network operated by battery with limited capacity. Thus, energy consumption is a vital issue in the design of new routing protocol. So in this paper, we

Review of Cognitive Spectrum Sensing Of Secondary User by Soft Computing
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Abstract: Subjective Radio innovation is being used to give a system for using the range more beneficially, range detecting is crucial to this application. The limit of Cognitive Radio frameworks to get the opportunity to spare zones of the radio range and to keep watching Currently, we are faced with many complex engineering systems that need to be manipulated. As they are usually not fully theoretically tractable, it is not possible to use traditional deterministic methods. Soft computing , as opposed to conventional deterministic

Optical Character Recognition Systems for Different Languages with 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

A Content Based Image Retrieval Using Soft Computing
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ABSTRACT The CBIR tends to index and retrieve images based on their visual content. CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years.

Soft Computing and Its Domains-An Overview
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ABSTRACT This paper presents a new perspective of Artificial Intelligence (AI). Although, it is not so easy to define Artificial Intelligence, but I tried my best for doing so. This is a review paper and in this paper Id made my efforts to describe soft computing and its domain having

A COMPARATIVE STUDY OF TRADITIONAL AND INTELLIGENCE SOFT COMPUTING METHODS FOR PREDICTING COMPRESSIVE STRENGTH OF SELF
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ABSTRACT This study investigates the prediction model of compressive strength of self compacting concrete (SCC) by utilizing soft computing techniques. The techniques consist of adaptive neuro based fuzzy inference system (ANFIS), artificial neural network (ANN) and

Special issue on soft computing and intelligent systems: Tools, techniques and applications
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This special issue is a selected collection of papers submitted to the Second International Symposium on Intelligent Systems Technologies and Applications (ISTA16), September 21 24, 2016, Jaipur, India. These papers have been reviewed and accepted for presentation at

Design of Secure Cryptographic Hash Function Using Soft Computing Techniques.
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Abstract Data integrity is a crucial part of any secure system. Cryptographic hash functions serve as a basic building block of information security for ensuring data integrity and data origin authentication. They are used in numerous security applications such as digital This edited book on recent advances in Multivalued Logic and Soft Computing was proposed as a Festschrift for the celebration of the 80th Birthday of Prof. Dr. Claudio Moraga, Department of Computer Science, University of Dortmund, Germany. The contributions of

Soft Computing Techniques in Mobile Adhoc network: A Technical Overview
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ABSTRACT Mobile ad-hoc network is widely used in various communications due to its easier deployment and cost effectiveness. In recent technological advancement, Manet is used in all types of environment including pervasive computing , Internet of Things, military

Application of Soft Computing Techniques in Water Resources Engineering
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Abstract In the present paper it has been concluded that the importance of various soft computing techniques in water resources problems. In this study, it presents that the four major techniques applicable to solve complex water resources problems like Fuzzy Logic,

Call for Paper of Special Issue on Advanced Soft Computing for Prognostic Health Management in Applied Soft Computing
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Prognostic health management (PHM), studying machine failure detection and management of its life-cycle, is a research area of growing interest because of the economic cost associated with undiagnosed machine failure [1]. A complex manufacturing plant usually

A Review of Clustering Technique Based on Different Soft Computing Approach
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Abstract: Grouping of data is major issue in current scenario of diverse data space. For the grouping of data data mining provides clustering and classification technique. the clustering technique is better than classification technique in case of unknown features of data. the The 11th International Workshop on Fuzzy Logic and Applications, WILF 2016, held in Naples (Italy) during December 19 21, 2016, covered all topics in theoretical, experimental, and application areas of fuzzy, rough, and soft computing in general, with the aim of bringing

A NOTE ON DECISION MAKING SOFT COMPUTING SYSTEM FOR MALARIA DIAGNOSIS USING FUZZY EXPERT SYSTEM
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Abstract: Todays hectic life has made humans time bounded. They need each and every decision at their table top. Malaria remains one of the worlds most deadly infectious diseases and arguably, the greatest menace to modern society in terms of morbidity and

TITLE: SOFT COMPUTING TECHNIQUES FOR BIG DATA ANALYSIS: A REVIEW
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ABSTRACT: Analysis on large scale data. i, e. Big Data has been proposed in four techniques in this research paper, namely Neural network, fuzzy Logic, Ant Colony Optimization and Genetic Algorithm. Sorting of large amount of data is a difficult and time

A SOFT COMPUTING INFORMATION SYSTEM FOR HUMAN BEHAVIOR ANALYSIS
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Abstract: This paper represents an improved system in the sphere of behavior identification using Soft computing techniques. The model planned in this work analyze the blogs or input text and divide the behavior into five major categories; Openness, Conscientiousness, Decision and optimization problems are ubiquitous in the current social and technological context. Our societies face several challenges (in health, transportation, energy, climate, etc.) which are clearly framed either as decision or optimization problems. Moreover,

STUDY IN SOLUTION OF INTRACTABLE PROBLEMS THROUGH SOFT COMPUTING
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Abstract-In theoretical computer science, solution of computational problems require suitable algorithms. In this context an important question arises how when an algorithm provides a satisfactory solution. The efficiency of an algorithm is measured on the basis of This proceedings book of the Mendel conference (http://www. mendel-conference. org) contains a collection of selected accepted papers which have been presented at this event in June 2016. The Mendel conference was held in the second largest city in the Czech

Performance Evaluation of Soft Computing using Clustering Techniques
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Abstract Soft Computing can be considered as a tool to handle inexactness and uncertainty. The main concept of soft computing is to exploit the forbearance for inexactness, uncertainty, fractional truth and approximation to accomplish tractability, robustness and inexpensive

Application of Soft - Computing techniques for analysis of external influential factors in the emotional interpretation of visual stimuli.
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Abstract As it is well known, in the real world, during the development of any activity every human is always under the influence of a set of external factors that can affect their performance. Therefore, all people know that aspects such as hour, accumulated fatigue, or

Mathematical Modeling and Performance Comparison of Overhead Cranes Using Soft - Computing Techniques
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Abstract n this paper an offline control of Overhead crane system has been proposed using fuzzy and ANFIS controllers. The mathematical model of the system has been derived which was further used to built a

Software Quality Estimation Using Soft Computing Techniques
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Abstract Now a daysSoftware Quality is more important in todays marketplaceandusersare looking foraneconomically good quality long lasting software product. In order to fulfill the expectation of customers and to produce economically good quality software is need to

Soft Computing Technique for Optimal Load Dispatching and Renewable Power Estimation using Probability Density Function
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Abstract-In this modern era, Economic Load Dispatch (ELD) plays an important role in power systems and planning. The main object of this problem is to diminish the cost of fuel of generator units. In this research, ELD problem is implemented and discussed with Cuckoo

A CRITICAL REVIEW ON TEST CASE PRIORITIZATION AND OPTIMIZATION USING SOFT COMPUTING TECHNIQUES
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ABSTRACT Software testing plays a crucial role in software quality assurance. It is a core phase of software development life cycle at a same time it is very expensive and time consuming process too. It becomes very inefficient for a tester to re-execute large number of

A New Switching Controller Based Soft Computing -High Accuracy Implementation of Artificial Neural Network
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Abstract Space vector modulation (SVM) controller is an advanced computation intensive pulse width modulation (PWM) technique. System performance can be accomplished by applying a proper switching technique. To obtain a sinusoidal AC output waveform, the SVM

Advanced Signal Processing and Soft Computing Techniques Based Islanding Detection: A Review
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Abstract: This paper represents an overview of different advanced signal processing and soft computing techniques for detection of islanding disturbances in distributed generation (DG) based interconnected power system. Various passive islanding techniques such as

A Review: Design of Active Power Filters using Soft Computing Techniques
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Abstract: Electrical power quality determines the fitness of a system. Major power quality issues nowadays are harmonics and reactive power. Non-linear loads are the main cause of introduction of harmonics in the system. To mitigate these harmonics, suitable filters are

Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method
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Abstract For mining groundwater ecosystems highly complex and non-linear, an ecological model of groundwater environment based on hybrid soft computing method (GE_HSC) was established from the point of view of algorithm optimization, and its includes the difference

Soft - Computing Based Trust Management Framework for Group Key Management in MANETs
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Abstract: We can realize instant joint group communication by forming Mobile Ad Hoc Networks without demanding any pre-plan or pre-existing infrastructure setup. Conversely, the curbs of these networks such as unreliable wireless medium, unpredictable topology, no

A REVIEW PAPER ON SOFT COMPUTING BASED CLUSTERING ALGORITHM
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ABSTRACT In past years the Wireless Sensor Network (WSN) has gained high attention in research area due to its different applications like health monitoring, precision diary, military, farming, environment monitoring, fire monitoring in forest, machine surveillance etc. A WSN

Analyzing musical expressivity with a soft computing approach
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Abstract In this paper we present our research on the design of a tool to analyze musical expressivity. Musical expressivity is a human activity difficult to model computationally because of its nature: implicitly acquired by musicians through a long process of listening

Soft computing based approaches for the prediction of compressive strength of lime-microsilica stabilized clayey soils
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Summary A range of stabilizers can be added to soil to stabilize it such as Lime, cement, microsilica, or a combination of these in order to improve the engineering properties of soil. Unconfined compressive strength (UCS) as a quality of stabilized soil is generally

A Soft - computing Assisted Tool to Detect and Analyse Brain Tumor
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Abstract Brain cancer is one of the deadliest diseases in the human community. Early detection is widely preferred to offer better treatment in order to save the patient. In the literature, considerable procedures are proposed and implemented by the researchers. In

Soft Computing Approach to Detecting Discontinuities: Seismic Analysis and Beyond
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Abstract Starting from Newton, the main equations of physics are differential equations which implicitly implies that all the corresponding processes are differentiable and thus, continuous. However, in practice, we often encounter processes or objects that change

Lung Cancer Image Segmentation And Classification Using Soft Computing Techniques
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Abstract-In this paper it shows current medical diagnosis, treatment, and surgery, medical imaging plays one of the most significant roles, since imaging devices such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and ultrasound diagnostics yield a

BFO AIS: AFrame WORK FOR MEDICAL IMAGE CLASSIFICATION USING SOFT COMPUTING TECHNIQUES
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ABSTRACT Medical images provide diagnostic evidence/information about anatomical pathology. The growth in database is enormous as medical digital image equipments like Magnetic Resonance Images (MRI), Computed Tomography (CT), and Positron Emission

Algorithms, Artificial Intelligence, Soft Computing and Informatics
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Exponentially Weighted Particle Filter for Simultaneous Localization and Mapping Based on Magnetic Field Measurements ... X. Wang, C. Zhang, F. Liu, Y. Dong, and X. Xu Training a New Instrument to Measure Cotton

ANALYSING LINGUISTIC ISSUES IN HINDI SPEECH RECOGNITION AND INTELLIGENT RESPONSE GENERATION USING A SOFT COMPUTING
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ABSTRACT Nature consists of infinite variations in which patterns are observable. Speech from a human being exhibits the property of infinite variations due to containing paralinguistic content such as gender, speaker, duration, accent, emphasis, emotions, etc.

Evaluating Optimal Clustering Techniques for Efficient Storage Retrieval Methods in Large Database Using Soft Computing Techniques
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Abstract Data storage is one of the universal acts in computer transactions in the world. With the advancement of technology, now computers are the affordable device to almost all the human beings especially in the urban areas. At the same time the data is now becoming

REVIE OF ACADEMIC PERFORMANCE USING SOFT COMPUTING TECHNIQUES
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ABSTRACT: This review paper gives as details and overall review of methodologies and present scenario related to students academic performance evaluation for the development of better understanding. The present paper elaborates several aspects of students

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