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Dissertations / Theses on the topic 'SOFT COMPUTING TECHNIQUE'

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1

Machaka, Pheeha. "Situation recognition using soft computing techniques." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11225.

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Includes bibliographical references.<br>The last decades have witnessed the emergence of a large number of devices pervasively launched into our daily lives as systems producing and collecting data from a variety of information sources to provide different services to different users via a variety of applications. These include infrastructure management, business process monitoring, crisis management and many other system-monitoring activities. Being processed in real-time, these information production/collection activities raise an interest for live performance monitoring, analysis and report
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Fernando, Kurukulasuriya Joseph Tilak Nihal. "Soft computing techniques in power system analysis." Thesis, full-text, 2008. https://vuir.vu.edu.au/2025/.

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Soft computing is a concept that has come into prominence in recent times and its application to power system analysis is still more recent. This thesis explores the application of soft computing techniques in the area of voltage stability of power systems. Soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and approximation. Its methods are based on the working of the human brain and it is commonly known as artificial intelligence. The human brain is capable of arriving at valid conclusions based on incompl
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Fernando, Kurukulasuriya Joseph Tilak Nihal. "Soft computing techniques in power system analysis." full-text, 2008. http://eprints.vu.edu.au/2025/1/thesis.pdf.

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Soft computing is a concept that has come into prominence in recent times and its application to power system analysis is still more recent. This thesis explores the application of soft computing techniques in the area of voltage stability of power systems. Soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and approximation. Its methods are based on the working of the human brain and it is commonly known as artificial intelligence. The human brain is capable of arriving at valid conclusions based on incomplet
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Esteves, João Trevizoli. "Climate and agrometeorology forecasting using soft computing techniques. /." Jaboticabal, 2018. http://hdl.handle.net/11449/180833.

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Orientador: Glauco de Souza Rolim<br>Resumo: Precipitação, em pequenas escalas de tempo, é um fenômeno associado a altos níveis de incerteza e variabilidade. Dada a sua natureza, técnicas tradicionais de previsão são dispendiosas e exigentes em termos computacionais. Este trabalho apresenta um modelo para prever a ocorrência de chuvas em curtos intervalos de tempo por Redes Neurais Artificiais (RNAs) em períodos acumulados de 3 a 7 dias para cada estação climática, mitigando a necessidade de predizer o seu volume. Com essa premissa pretende-se reduzir a variância, aumentar a tendência dos dado
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Erman, Maria. "Applications of Soft Computing Techniques for Wireless Communications." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17314.

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This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented. Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current t
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Perez, Ruben E. "Soft Computing techniques and applications in aircraft design optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63122.pdf.

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Wang, Lijuan. "Multiphase flow measurement using Coriolis flowmeters incorporating soft computing techniques." Thesis, University of Kent, 2017. https://kar.kent.ac.uk/63877/.

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This thesis describes a novel measurement methodology for two-phase or multiphase flow using Coriolis flowmeters incorporating soft computing techniques. A review of methodologies and techniques for two-phase and multiphase flow measurement is given, together with the discussions of existing problems and technical requirements in their applications. The proposed measurement system is based on established sensors and data-driven models. Detailed principle and implementation of input variable selection methods for data-driven models and associated data-driven modelling process are reported. Thre
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Yang, Yingjie. "Investigation on soft computing techniques for airport environment evaluation systems." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/35015.

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Spatial and temporal information exist widely in engineering fields, especially in airport environmental management systems. Airport environment is influenced by many different factors and uncertainty is a significant part of the system. Decision support considering this kind of spatial and temporal information and uncertainty is crucial for airport environment related engineering planning and operation. Geographical information systems and computer aided design are two powerful tools in supporting spatial and temporal information systems. However, the present geographical information systems
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Amina, Mahdi. "Dynamic non-linear system modelling using wavelet-based soft computing techniques." Thesis, University of Westminster, 2011. https://westminsterresearch.westminster.ac.uk/item/8zwwz/dynamic-non-linear-system-modelling-using-wavelet-based-soft-computing-techniques.

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The enormous number of complex systems results in the necessity of high-level and cost-efficient modelling structures for the operators and system designers. Model-based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Soft computing based models in particular, can successfully be applied in cases of highly nonlinear problems. A further reason for dealing with so called soft computational model based techniques is that in real-world cases, many times only partial, uncertain and/or inaccurate data is available. Wavelet-Based soft computing techniques a
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Chen, Mingwu. "Motion planning and control of mobile manipulators using soft computing techniques." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266128.

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Zhao, Yisu. "Human Emotion Recognition from Body Language of the Head using Soft Computing Techniques." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23468.

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When people interact with each other, they not only listen to what the other says, they react to facial expressions, gaze direction, and head movement. Human-computer interaction would be enhanced in a friendly and non-intrusive way if computers could understand and respond to users’ body language in the same way. This thesis aims to investigate new methods for human computer interaction by combining information from the body language of the head to recognize the emotional and cognitive states. We concentrated on the integration of facial expression, eye gaze and head movement using soft com
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Merchán-Cruz, Emmanuel Alejandro. "Soft-computing techniques in the trajectory planning of robot manipulators sharing a common workspace." Thesis, University of Sheffield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419281.

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Soufian, Majeed. "Hard and soft computing techniques for non-linear modeling and control with industrial applications." Thesis, Manchester Metropolitan University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273053.

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Khalid, Fakhar. "Use of soft computing pattern recognition techniques to analyse tropical cyclones from meteorological satellite data." Thesis, University of Greenwich, 2013. http://gala.gre.ac.uk/11887/.

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Tropical cyclones are potentially the most destructive of all natural meteorological hazards. When these cloud systems make landfall, they cause significant amounts of human death and injury as well as extensive damage to property, therefore reliable cyclone detection and classification form important weather forecasting activities. The work carried out in this research has focused on developing a unique fuzzy logic based patter recognition algorithm for identifying key recognisable structural elements of North Atlantic basin hurricanes. Due to vaguely defined boundaries and cloud patterns ass
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Teixeira, Rafael Luís. "Projeto, construção e caracterização de um amortecedor ativo controlado por atuador piezoelétrico." Universidade Federal de Uberlândia, 2007. https://repositorio.ufu.br/handle/123456789/14796.

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Fundação de Amparo a Pesquisa do Estado de Minas Gerais<br>This thesis presents the design methodology, the construction of a prototype and the experimental validation of an active vibration damper witch is controlled by a piezoelectric actuator. The proposed device has two flexible metallic bellows connected to a rigid reservoir filled with a viscous fluid. When one of the bellows is connected to a vibrating structure a periodic flow passes through a variable internal orifice and the damping effect is produced. The size of the orifice is adjusted by a piezoelectric control system that positio
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Owa, Kayode Olayemi. "Non-linear model predictive control strategies for process plants using soft computing approaches." Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3031.

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The developments of advanced non-linear control strategies have attracted a considerable research interests over the past decades especially in process control. Rather than an absolute reliance on mathematical models of process plants which often brings discrepancies especially owing to design errors and equipment degradation, non-linear models are however required because they provide improved prediction capabilities but they are very difficult to derive. In addition, the derivation of the global optimal solution gets more difficult especially when multivariable and non-linear systems are inv
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Mistry, Pritesh. "A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14440.

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This multidisciplinary thesis is concerned with the prediction of drug formulations for the reduction of drug toxicity. Both scientific and computational approaches are utilised to make original contributions to the field of predictive toxicology. The first part of this thesis provides a detailed scientific discussion on all aspects of drug formulation and toxicity. Discussions are focused around the principal mechanisms of drug toxicity and how drug toxicity is studied and reported in the literature. Furthermore, a review of the current technologies available for formulating drugs for toxicit
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Cakit, Erman. "Investigating The Relationship Between Adverse Events and Infrastructure Development in an Active War Theater Using Soft Computing Techniques." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5777.

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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 understand the effects of social and cultural factors on human behavior. There are different kinds of modeling approaches to the data that are being used in this field and so far none of them has been widely accepted. HSCB modeling needs the capability to represent complex, ill-defined, and imprecise concepts, and soft computing modeling can deal
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Izza, Yacine. "Informatique ubiquitaire : techniques de curage d'informations perverties On the extraction of one maximal information subset that does not conflit with multiple contexts Extraction d'un sous-ensemble maximal qui soit cohérent avec des contextes mutuellement contradictoires On computing one max-inclusion consensus On admissible consensuses Boosting MCSes enumeration." Thesis, Artois, 2018. http://www.theses.fr/2018ARTO0405.

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Cette thèse étudie une approche possible de l'intelligence artificielle pour la détection et le curage d'informations perverties dans les bases de connaissances des objets et composants intelligents en informatique ubiquitaire. Cette approche est traitée d'un point de vue pratique dans le cadre du formalisme SAT; il s'agit donc de mettre en œuvre des techniques de filtrage d'incohérences dans des bases contradictoires. Plusieurs contributions sont apportées dans cette thèse. Premièrement, nous avons travaillé sur l'extraction d'un ensemble maximal d'informations qui soit cohérent avec une séri
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VINODIA, DEEPAK KUMAR. "APPLICATION OF SOFT COMPUTING TECHNIQUES FOR SOFTWARE RELIABILITY PREDICTION." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15872.

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Background: Software reliability prediction has become a key activity in the field of software engineering. It is the process of constructing models that can be used by software practitioners and researchers for assessing and predicting the reliability of the software product. This activity provides significant information about the software product such as “when to stop testing” or “when to release the software product” and other important information. Thus, effective reliability prediction models provide critical information to software stakeholders. Method: In this paper, we have conducted
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Hsieh, Son-Chin, and 謝松慶. "The Study of Soft Computing Technique to Assist PI Controller Design." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/55073384499876653447.

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碩士<br>大葉大學<br>電機工程學系碩士班<br>93<br>Soft computing techniques such as fuzzy logic(FL), neural network(NN) learning and genetic algorithms(GA) are used for DC motor control problem in this study. Firstly, mathematical model of the motor is predicted. A basic PI type controller is designed for the position control problem. A fuzzy logic controller(FLC) is tried for the outer position-loop control without velocity feedback loop. A new structure in which a NN is assisted to the PI control is investigated. Finally, scaling factors are searched by GA. The final result is promising. Comparisons of contr
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Chang, Tsi-Chow, and 張智超. "An Investigation on Soft Computing Technique Applied to the Controller Design and Simulation of Control Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/83992920971292461426.

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碩士<br>大葉大學<br>電機工程學系<br>95<br>An inverted pendulum system is an unstable one. However, its mechanical structure is not too complicated, so it is generally used as a benchmark identification of every control system design. The Twin-Rotor MIMO system (TRMS) is also an unstable system. Due to the complex mechanism and control, due to the server coupling effect between the pitch main control and yaw tail control, additionally, due to the nonlinearity in the mechanical structure, these make the precise mathematical model inappropriate or impossible. The difficulty of controller design on TRMS s
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Bagwan, Manish. "Prediction of adhesive strength, deposition efficiecny and wear behaviour of plasma spray coating of low grade mineral on mild steel and copper Substrate by soft computing technique." Thesis, 2013. http://ethesis.nitrkl.ac.in/5391/1/211MM1359.pdf.

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Currently emerging technologies contains some of the most prominent ongoing advances, innovations and developments in a variety of engineering field to advance surface property by using modern technology. Because for higher productivity and efficiency across the entire spectrum of manufacturing and engineering industries has ensured that most modern day components/ parts are subjected to day by day increasing harsh environments in routine operations. All the Critical industrial components of the machines are, therefore, prone to more rapid degradation as the parts fail to withstand
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Schmidt, S. "A trust-aware framework for service selection and service quality review in e-business ecosystems." Thesis, 2008. http://hdl.handle.net/10453/37705.

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University of Technology, Sydney. Faculty of Information Technology.<br>As e-Business has moved from a niche market to a decisive contributor for the success of most companies, some issues need to be solved in order to assist the continued success of e-Business. The challenge, to deploy fully autonomous business service agents which undertake transactions on behalf of their owners, often fails due to lack of trust in the agent and its decisions. Four aspects can overcome this challenge. Firstly, intelligent agents need to be equipped with self-adjusting reputation, trustworthiness and credibil
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Kumari, Smita. "Web Service Selection Using Soft Computing Techniques." Thesis, 2015. http://ethesis.nitrkl.ac.in/7152/1/Web_Kumari_2015.pdf.

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Web service selection is one of the important aspects of SOA. It helps to integrate the services to build a particular application. Web services need to be selected using appropriate interaction styles i.e., either Simple Object Access Protocol (SOAP) or Representational State Transfer Protocol (REST) because choosing web service interaction pattern is a crucial architectural concern for developing the application, and has an impact on the development process. In this study, the performance of web services for Enterprise Application based on SOAP and REST are compared. Since web services opera
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Mohammad, Naseem. "Use of Soft Computing Techniques for Transducer Problems." Thesis, 2008. http://ethesis.nitrkl.ac.in/29/1/20607029.pdf.

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In many control system applications Linear Variable Differential Transformer (LVDT) plays an important role to measure the displacement. The performance of the control system depends on the performance of the sensing element. It is observed that the LVDT exhibits the same nonlinear input-output characteristics. Due to such nonlinearities direct digital readout is not possible. As a result we employ the LVDTs only in the linear region of their characteristics. In other words their usable range gets restricted due to the presence of nonlinearity. If the LVDT is used for full range of its nonline
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Ranjan, Ankit Raj. "Modeling Capacity of Roundabouts Using Soft Computing Techniques." Thesis, 2017. http://ethesis.nitrkl.ac.in/8756/1/2017_MT_AR_Ranjan.pdf.

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The roundabout is a very common solution to the stop controlled intersections and is an increasingly common form of road junction all over the world and widely used in urban and some rural areas of India. For the effective design of roundabouts a detailed analysis of maximum vehicle throughput capacities is required termed as capacity prediction. In India the nature of traffic is heterogeneous but most of the studies related to critical gap evaluation and capacity prediction have been carried out in developed countries having homogeneous nature of traffic flow and strictly followed lane discip
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Panigrahi, N., and S. Tripathy. "Application of Soft Computing Techniques to RADAR Pulse Compression." Thesis, 2010. http://ethesis.nitrkl.ac.in/1693/1/Application_of_Soft_Computing_Techniques_to_Radar_Pulse_Compression.pdf.

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Soft Computing is a term associated with fields characterized by the use of inexact solutions to computationally-hard tasks for which an exact solution cannot be derived in polynomial time. Almost contrary to conventional (Hard) computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Effectively, it resembles the Human Mind. The Soft Computing Techniques used in this project work are Adaptive Filter Algorithms and Artificial Neural Networks. An adaptive filter is a filter that self-adjusts its transfe
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Hsu, Chin-Yuan, and 許志遠. "An Intelligent Image Filter based on Soft-Computing Techniques." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/20772033919820675234.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>92<br>In this paper, we propose an intelligent image filter based on soft-computing techniques including a genetic based fuzzy image filter (GFIF) and a multilayer genetic based fuzzy image filter (MGFF) to remove impulse noise from highly corrupted images. GFIF consists of a fuzzy number construction process, a fuzzy filtering process, a genetic learning process, and an image knowledge base. First, the fuzzy number construction process will receive a sample image or the noise-free image, then construct an image knowledge base for the fuzzy filtering process. Seco
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Teixeira, C. A. "Soft-computing techniques applied to artificial tissue temperature estimation." Doctoral thesis, 2008. http://hdl.handle.net/10400.1/237.

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Tese dout., Engenharia electrónica e computação - Processamento de sinal, Universidade do Algarve, 2008<br>Safety and efficiency of thermal therapies strongly rely on the ability to quantify temperature evolution in the treatment region. Research has been developed in this field, and both invasive and non-invasive technologies have been reported. Till now, only the magnetic resonance imaging (MRI) achieved the hyperthermia/diathermia gold standard value of temperature resolution of 0.5oC in 1cm3, in an in-vivo scenario. However, besides the cost of MRI technology, it does not enable a bro
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Dash, Rudra Narayan. "Fault Diagnosis in Induction Motor Using Soft Computing Techniques." Thesis, 2010. http://ethesis.nitrkl.ac.in/2809/1/608EE302.pdf.

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Induction motors are one of the commonly used electrical machines in industry because of various technical and economical reasons. These machines face various stresses during operating conditions. These stresses might lead to some modes of failures/faults. Hence condition monitoring becomes necessary in order to avoid catastrophic faults. Various fault monitoring techniques for induction motors can be broadly categorized as model based techniques, signal processing techniques, and soft computing techniques. In case of model based techniques, accurate models of the faulty machine are essentiall
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Sadri, Sara. "Frequency Analysis of Droughts Using Stochastic and Soft Computing Techniques." Thesis, 2010. http://hdl.handle.net/10012/5198.

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In the Canadian Prairies recurring droughts are one of the realities which can have significant economical, environmental, and social impacts. For example, droughts in 1997 and 2001 cost over $100 million on different sectors. Drought frequency analysis is a technique for analyzing how frequently a drought event of a given magnitude may be expected to occur. In this study the state of the science related to frequency analysis of droughts is reviewed and studied. The main contributions of this thesis include development of a model in Matlab which uses the qualities of Fuzzy C-Means (FCMs) clust
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K, GAYATHRI DEVI. "SCHEDULING IN FLEXIBLE MANUFACTURING SYSTEM (FMS) USING SOFT COMPUTING TECHNIQUES." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20197.

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In today's highly competitive and fast-paced manufacturing industry, companies are increasingly turning to flexible manufacturing systems (FMS) to improve their efficiency and productivity. FMS is an automated manufacturing system that includes transport vehicles, automated storage, and a comprehensive computer control system, all working together to produce a wide variety of parts quickly and efficiently. FMS is a critical component of Industry 4.0, the fourth industrial revolution characterized by the integration of advanced technologies making it smart manufacturing process. S
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Nayak, Debasish. "Novel Techniques for SRAM Based Memory Performance Enhancement." Thesis, 2017. http://ethesis.nitrkl.ac.in/8676/1/2017_PhD_512EC1017_DNayak.pdf.

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Digital computation has penetrated diversity of applications such as audio visual communication, biomedical applications, industrial application, defense application, entertainment industries, remote sensing and control etc. Electrical systems having digital computing capability have become an integral part of daily life. This puts a thrust to design the systems with utmost portability. Portability of an electronic system not only depends on the physical size of computation blocks embedded inside it but also on the energy consumption by it. Thus, reduction of size of computing block along with
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Chen, Jin-Liang, and 陳金亮. "Development of Soft-computing Techniques And Their Applications to Pattern Recognition." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/06254278758259677564.

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碩士<br>國立海洋大學<br>電機工程學系<br>88<br>In the thesis, three soft-computing techniques are proposed to tackle the two most important tasks in pattern recognition, namely, clustering and classifier design. First, a novel technique (ECT) is presented for exploiting cluster''s terrain. By using ECT, one can improve the clustering performance and exploit terrain of each cluster. Description of cluster''s terrain involves the use of a novel prototype matrix and Mahalanobis distance. Two update equations are derived from an objective function based on the prototype matrix. Then, the covariance matrix of a c
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Yadav, Basant. "Application of soft computing techniques for water quantity and quality modeling." Thesis, 2017. http://localhost:8080/iit/handle/2074/7306.

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Nanda, Santosh Kumar. "Noise Impact Assessment and Prediction in Mines Using Soft Computing Techniques." Thesis, 2012. http://ethesis.nitrkl.ac.in/4560/1/PhD50405001revised.pdf.

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Mining of minerals necessitates use of heavy energy intensive machineries and equipment leading to miners to be exposed to high noise levels. Prolonged exposure of miners to the high levels of noise can cause noise induced hearing loss besides several non-auditory health effects. Hence, in order to improve the environmental condition in work place, it is of utmost importance to develop appropriate noise prediction model for ensuring the accurate status of noise levels from various surface mining machineries. The measurement of sound pressure level (SPL) using sound measuring devices is not accu
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Chen, Ying-Hsu, and 陳盈旭. "An Ontology Construction Approach Based on Episode Net and Soft Computing Techniques." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/12673436025321244242.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>92<br>The Ontology is increasingly important for many information systems and SemanticWeb, while the cost of constructing ontology is too much. In this thesis, we propose anautomatic approach for ontology construction to assist the knowledge engineers toconstruct the specific domain ontology. We hope to raise the automation level to makecorrectly and efficiently build the ontology while applying the method to different domains.For different domains, we propose an approach to extract new Chinese terms from thespecific corpus automatically. And we use information re
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Choudhury, Debasis. "Characterization of Power Quality Disturbances using Signal Processing and Soft Computing Techniques." Thesis, 2013. http://ethesis.nitrkl.ac.in/4745/1/210EE2101.pdf.

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The power quality of the electric power has become an important issue for the electric utilities and their customers. In order to improve the quality of power, electric utilities continuously monitor power delivered at customer sites. Thus automatic classification of distribution line disturbances is highly desirable. The detection and classification of the power quality (PQ) disturbances in power systems are important tasks in monitoring and protection of power system network. Most of the disturbances are non-stationary and transitory in nature hence it requires advanced tools and techniques
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Teella, Sreedhar Kumar. "Modeling of Breakdown voltage of Solid Insulating Materials Using Soft Computing Techniques." Thesis, 2013. http://ethesis.nitrkl.ac.in/5329/1/211EE2140.pdf.

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The voids or cavities within the solid insulating material during manufacturing are potential sources of electrical trees which can lead to continuous degradation and breakdown of insulating material due to Partial Discharge (PD). To determine the suitability of use and acquire the data for the dimensioning of electrical insulation systems breakdown voltage of insulator should be determined. A major field of Artificial Neural Networks (ANN) and Least Square Support Vector Machine (LS-SVM) application is function estimation due to its useful features, they are, non-linearity and adaptively. In
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Jog, Adwait, and Avijit Mohapatra. "Financial Forecasting Using Evolutionary Computational Techniques." Thesis, 2009. http://ethesis.nitrkl.ac.in/230/1/Thesis_Adwait.pdf.

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Financial forecasting or specially stock market prediction is one of the hottest field of research lately due to its commercial applications owing to high stakes and the kinds of attractive benefits that it has to offer. In this project we have analyzed various evolutionary computation algorithms for forecasting of financial data. The financial data has been taken from a large database and has been based on the stock prices in leading stock exchanges .We have based our models on data taken from Bombay Stock Exchange (BSE), S&P500 (Standard and Poor’s) and Dow Jones Industrial Average (DJIA).
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Chou, Hsin-Chuan, and 周新川. "Discover Drug Utilization Knowledge Using Soft Computing Techniques An Example of Cardiovascular Disease." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/42592142546564406968.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>93<br>Cardiovascular disease is becoming the major cause of death in many industrialized countries. People who receive long-term treatments usually ignore the progress of the disease states. Therefore, it is critical and necessary to evaluate drug utilization and laboratory test in order to discover the knowledge that is beneath and can be extracted from those raw data. This paper utilizes techniques of unsupervised networks and rough set theory to discover drug utilization knowledge. The result of the proposed SOM-SOM-RST process shows more advantages than that o
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Lai, Chia Liang, and 賴佳良. "Application of Soft Computing Techniques with Fourier Series to Forecast Monthly Electricity Demand." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/23171218166774438081.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>104<br>The information from electricity demand forecasting helps energy generation enterprises develop an electricity supply system. This study aims to develop a monthly electricity forecasting model to predict the electricity demand for energy management. Given that the influence of weather factors, such as temperature and humidity, is diluted in the overall monthly electricity demand, the forecasting model uses historical electricity consumption data as an integrated factor to obtain future prediction. The proposed approach is applied to a monthly electricity d
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Sudhakarapandian, R. "Application of Soft Computing Techniques for Cell Formation Considering Operational Time and Sequence." Thesis, 2007. http://ethesis.nitrkl.ac.in/11/1/sudh-phd-2008.pdf.

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In response to demand in market place, discrete manufacturing firms need to adopt batch type manufacturing for incorporating continuous and rapid changes in manufacturing to gain edge over competitors. In addition, there is an increasing trend toward achieving higher level of integration between design and manufacturing functions in industries to make batch manufacturing more efficient and productive. In batch shop production environment, the cost of manufacturing is inversely proportional to batch size and the batch size determines the productivity. In real time environment, the batch size of
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Ghosh, S., and A. B. Swer. "Modelling of the Breakdown Voltage of Solid Insulating Materials using Soft Computing Techniques." Thesis, 2010. http://ethesis.nitrkl.ac.in/1972/1/btech_project_online.pdf.

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The aim of the project is to use Soft Computing Techniques (SCT) in order to model the breakdown voltage of solid insulating materials. Since the breakdown voltage behaviour is non-linear, it can be best modeled using SCT such as Artificial Neural Network (ANN), Radial Basis Function (RBF) Network, Fuzzy Logic (FL) Techniques etc. In order to obtain the experimental data on the breakdown voltage, experiments are conducted under AC and DC conditions and then all the SCT model are applied on it. The prediction of the breakdown voltage of solid insulating materials is indeed a challenging task.
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Sahu, Sitanshu Sekhar. "Analysis of Genomic and Proteomic Signals Using Signal Processing and Soft Computing Techniques." Thesis, 2011. http://ethesis.nitrkl.ac.in/3005/1/Thesis_Sitanshu_Sekhar_Sahu_-_50709001.pdf.

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Bioinformatics is a data rich field which provides unique opportunities to use computational techniques to understand and organize information associated with biomolecules such as DNA, RNA, and Proteins. It involves in-depth study in the areas of genomics and proteomics and requires techniques from computer science,statistics and engineering to identify, model, extract features and to process data for analysis and interpretation of results in a biologically meaningful manner.In engineering methods the signal processing techniques such as transformation,filtering, pattern analysis and soft-com
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Sarkar, S. "Power quality disturbance detection and classification using signal processing and soft computing techniques." Thesis, 2014. http://ethesis.nitrkl.ac.in/6149/1/E-66.pdf.

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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 customer’s sites. Therefore, detection of PQ disturbances, and proper classification of PQD is highly desirable. The detection and classification of the PQD in distribution systems are important tasks for protection of power distributed network. Most of the disturbances are non-stationary and transitory in nature hence it requires advanced tools and
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Pandey, Anish. "Mobile Robot Navigation in Static and Dynamic Environments using Various Soft Computing Techniques." Thesis, 2016. http://ethesis.nitrkl.ac.in/8038/1/2016_PhD_APandey_512ME119.pdf.

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The applications of the autonomous mobile robot in many fields such as industry, space, defence and transportation, and other social sectors are growing day by day. The mobile robot performs many tasks such as rescue operation, patrolling, disaster relief, planetary exploration, and material handling, etc. Therefore, an intelligent mobile robot is required that could travel autonomously in various static and dynamic environments. The present research focuses on the design and implementation of the intelligent navigation algorithms, which is capable of navigating a mobile robot autonomously in
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Dutta, Abhijeet. "Application of Soft Computing Techniques for Prediction of Slope Failure in Opencast Mines." Thesis, 2016. http://ethesis.nitrkl.ac.in/8284/1/2016_MT_711MN1172_Application_of_soft.pdf.

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One of the most arduous jobs in the industry is mining which involves risk at each working stage. Stability is the main focus and of utmost importance. FOS when calculated by traditional deterministic approach cannot represent the exact state at which the slope exists, though it gives a rough idea of the conditions and overall safety factor. Various approaches like numerical modelling, soft computing techniques allow us with the ease to find out the stability conditions of an unstable slope and the probability of its failure in near-by time. In this project, the stability conditions of some of
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Chakraborty, Abhishek. "Evaluation of Urban Street Service Quality in Developing Countries Using Soft-Computing Techniques." Thesis, 2017. http://ethesis.nitrkl.ac.in/8766/1/2017_MT_A_Chakraborty.pdf.

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Indian road traffic characteristic is mostly heterogeneous in nature. Heterogeneousor mixed traffic means presence of non-motorized vehicle in a large proportion comparedto motorized vehicles simultaneously on the road, which is very unlikely to the developed countries. This study also tries to define the ALOS score ranges to categorize the perceived and predicted ALOS scores. First, several factors which plays significant role in determination of ALOS are short-listed based on previous research study. For example, traffic volume, width of the road, pavement condition, land use pattern and so
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