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Languages : pt-BR
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Book Description
Este trabalho investiga métodos de detecção de falhas baseados em sistemasimunológicos artificiais, especificamente aqueles baseados no algoritmo deseleção negativa (NSA) e em outras técnicas de reconhecimento próprio/nãopróprio. Inicialmente, foi proposto um esquema de representação baseado emhiperesferas com centros e raios variáveis e três modelos capazes de gerardetectores, com esta representação, de forma eficiente. O primeiro modelo utilizaalgoritmos genéticos onde cada gene do cromossomo contém um índice para umponto de uma distribuição quasi-aleatória que servirá como centro do detector euma função decodificadora responsável por determinar os raios apropriados. Aaptidão do cromossomo é dada por uma estimativa do volume coberto atravésuma integral de Monte Carlo. O segundo modelo utiliza o particionamentoQuadtree para gerar o posicionamento dos detectores e o valor dos raios. Estemodelo pode realizar o particionamento a partir de uma função de detecção ouatravés de divisões recursivas de um detector inicial que ocupa todo o espaço. Oterceiro modelo é inspirado nas redes imunológicas. Neste modelo, as células Brepresentam os detectores e a rede formada por eles dá a posição e o raio de cadadetector. Experimentos com dados sintéticos e reais demonstram a capacidade dosalgoritmos propostos e que eles apresentam melhorias nos aspectos deescalabilidade e desempenho na detecção de falhas.
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ISBN:
Category :
Languages : pt-BR
Pages :
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Book Description
Este trabalho investiga métodos de detecção de falhas baseados em sistemasimunológicos artificiais, especificamente aqueles baseados no algoritmo deseleção negativa (NSA) e em outras técnicas de reconhecimento próprio/nãopróprio. Inicialmente, foi proposto um esquema de representação baseado emhiperesferas com centros e raios variáveis e três modelos capazes de gerardetectores, com esta representação, de forma eficiente. O primeiro modelo utilizaalgoritmos genéticos onde cada gene do cromossomo contém um índice para umponto de uma distribuição quasi-aleatória que servirá como centro do detector euma função decodificadora responsável por determinar os raios apropriados. Aaptidão do cromossomo é dada por uma estimativa do volume coberto atravésuma integral de Monte Carlo. O segundo modelo utiliza o particionamentoQuadtree para gerar o posicionamento dos detectores e o valor dos raios. Estemodelo pode realizar o particionamento a partir de uma função de detecção ouatravés de divisões recursivas de um detector inicial que ocupa todo o espaço. Oterceiro modelo é inspirado nas redes imunológicas. Neste modelo, as células Brepresentam os detectores e a rede formada por eles dá a posição e o raio de cadadetector. Experimentos com dados sintéticos e reais demonstram a capacidade dosalgoritmos propostos e que eles apresentam melhorias nos aspectos deescalabilidade e desempenho na detecção de falhas.
Author: Dipankar Dasgupta
Publisher: Springer Science & Business Media
ISBN: 364259901X
Category : Computers
Languages : en
Pages : 318
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Book Description
This is a pioneering work on the emerging field of artificial immune systems-highly distributed systems based on the principles of the natural system. Like artificial neural networks, artificial immune systems can learn new information and recall previously learned information. This book provides an overview of artificial immune systems, explaining its applications in areas such as immunological memory, anomaly detection algorithms, and modeling the effects of prior infection on vaccine efficacy.
Author: Jon Timmis
Publisher: Springer
ISBN: 9783540451921
Category : Computers
Languages : en
Pages : 0
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Book Description
In many ways, our immune systems are as complex as our brains. They learn, predict, remember and adapt, protecting us from the maelstrom of pathogens that infect us daily. Computer Science frequently takes inspiration from the seemingly endless capabilities of natural systems. It should therefore be no s- prise that, like the ?eld of Arti?cial Neural Networks inspired from brains, we now have a vigorous ?eld of research known as Arti?cial Immune Systems (AIS), inspired by our own immune systems. Although still relatively new, the previous 10 years has seen the paradigm of AIS rapidly establish itself as an important biological metaphor. Researchers all over the world fruitfully exploit “immunological ideas” in many di?erent ways to provide mechanisms for tackling a wide variety of applications. In this volume we present the proceedings of ICARIS 2003, the 2nd Int- national Conference on Arti?cial Immune Systems. This was the second int- national conference entirely dedicated to the ?eld, and followed the extremely successful ?rst conference held in Canterbury, UK in 2002. The number and - versityofpapersinthisyear’sconferenceisatributetotheever-growingnumber ofresearchersinthearea,andrepresentativeofthesolidfoundationofworkthat now exists in this area. The range of topics considered is wide. For example, at one end of the spectrum we see a selection of papers providing a necessary t- oretical grounding for the ?eld. At the other end, we have an exciting range of applications to real-world problems, covering, for example, job-shop scheduling and fault detection in refrigeration systems.
Author: Christian Jacob
Publisher: Springer
ISBN: 3540318755
Category : Computers
Languages : en
Pages : 511
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Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Artificial Immune Systems, ICARIS 2005, held in Banff, Alberta, Canada, in August 2005. The 37 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on conceptual, formal, and theoretical frameworks, immunoinformatics, theoretical and experimental studies on artificial immune systems, and applications of artificial immune systems.
Author: Mohammad Abdel Kareem Rasheed Jaradat
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid system approach consists of three main phases. In the first phasesignal separation is performed using the Fuzzy C-Means (FCM) algorithm. Subsequently a single (fused) signal based on the information provided from the sensor signals is generated by the fusion engine. The information provided from the previous two phases is used for fault detection in the third phase based on the Artificial Immune System (AIS) negative selection mechanism. The simulations and experiments for multiple sensor systems have confirmed the strength of the new approach for online fusing and fault detection. The hybrid system gives a fault tolerance by handling different problems such as noisy sensor signals and multiple faulty sensors. This makes the new hybrid approach attractive for solving such fusion problems and fault detection during real time operations. This hybrid system is extended for early fault detection in complex mechanical systems based on a set of extracted features; these features characterize the collected sensors data. The hybrid system is able to detect the onset of fault conditions which can lead to critical damage or failure. This early detection of failure signs can provide more effective information for any maintenance actions or corrective procedure decisions.
Author: Leandro Nunes de Castro
Publisher: Springer Science & Business Media
ISBN: 1852335947
Category : Computers
Languages : en
Pages : 380
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Book Description
Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites. Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.
Author: Giuseppe Nicosia
Publisher: Springer Science & Business Media
ISBN: 3540230971
Category : Computers
Languages : en
Pages : 455
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Book Description
This book constitutes the refereed proceedings of the Third International Conference on Artificial Immune Systems, ICARIS 2004, held in Catania, Sicily, Italy, in September 2004. The 34 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on applications of artificial immune systems; conceptual, formal, and theoretical frameworks; artificial immune systems for robotics; emerging metaphors; immunoinformatics; theoretical and experimental studies; future applications; networks; modeling; and distinguishing properties of artificial immune systems.
Author: Carlos A. Coello-Coello
Publisher: Springer
ISBN: 3642337570
Category : Computers
Languages : en
Pages : 309
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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Author: Ying Tan
Publisher: John Wiley & Sons
ISBN: 1119076285
Category : Computers
Languages : en
Pages : 202
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Book Description
This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)
Author: Santoshinee Mohapatra
Publisher:
ISBN: 9781805258902
Category : Computers
Languages : en
Pages : 0
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Book Description
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