This book explains the principles of different types of Neural Networks such as Feed Forward, Cascade Feed Forward and Radial Basis Function Neural Networks. It also describes Fuzzy Logic concepts and Membership Functions. It is needed to mention that Neuron-Fuzzy Inference systems are come from Fuzzy Logic and Neural Network concepts; these are adaptive techniques that are given in detail in this book. Support Vector Machines are presented here as well. Applications such as direct current motors, student administration system, and electrical faults are employed to implement the above soft computing techniques.
Mobile computing research is expanding beyond the traditional approach on voice and data delivery to encompass new classes of rich mobile applications such as location based services, mobile social networks, crowd computing and sensory based applications. These classes of mobile applications have quantitative and qualitative criteria of growing importance like efficiency and performance, scalability, privacy and reliability. The next generation of mobile enterprise systems will monitor and analyze the mobile computing ecosystem and adapt their execution environments and resources accordingly. In this work I focus on orchestrating all components of such a complex system to have an optimal mobile cloud computing enterprise which meets users and providers' concerns.
Written by one of the few top internationally recognized experts in the field, this book concentrates on those topics that will remain fundamental, such as low power computing, reversible programming languages, and applications in thermodynamics. It describes reversible computing from various points of view: Boolean algebra, group theory, logic circuits, low-power electronics, communication, software, quantum computing. It is this multidisciplinary approach that makes it unique. Backed by numerous examples, this is useful for all levels of the scientific and academic community, from undergraduates to established academics.
The Internet-based security Soft-I-Robot is modelled using Soft computing paradigms for problem solving and decision-making in complex and ill-structured situations. Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. . These multiple features with hybrid Soft computing techniques depart the developed Soft-I-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation. The relatively powerful online robots available today provoke the simple question, in terms of two competing goals: recognition accuracy and computing time. Improved recognition accuracy and reduced computing time for face recognition of the intruder is obtained using Morphological Shared Weight Neural Network. To obtain a collision-free optimized path, Soft-i-Robot uses derivative free Genetic Algorithm. With rapid expansion of Robotics and Soft computing paradigms
Soft computing deals with imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Soft computing covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. Bioinformatics is the application of computer technology to the management and manipulation of biological information. Soft computing offers a promising approach to achieve efficient and reliable heuristic solution for the bioinformatics problem areas such as clustering, pattern recognition and prediction related domains. In this book, soft computing methodologies for cluster analysis of microarray data using Kohonen''s Self Organising Maps and prediction of genes using Back Propagation Network and Learning Vector Quantization Network are discussed.
This book is an extension of the Ph.D. dissertationentitled “Design of Intelligent Control System Basedon Soft Computing.” Three soft computing approachesbased lifelong learning control systems are presentedin this book. These systems can adapt variousenvironments through adjusting their own rule bases,such as fuzzy rule base or symbolic rule base,online. The adaptive mechanism emulates humanadaptive behaviors, and has capacities forintrospection, self-criticism and exploration. Thefirst two systems, i.e., SEICS (Self-Explorationprocess based Intelligent Control System) and mSEICS(multi-objective Self-Exploration process basedIntelligent Control System), are devoted to theadaptability with lifelong learning by means ofautomatically adjusting their fuzzy control rules.The third system, i.e., SCICS (Self- Creation processbased Intelligent Control System), concentrates onmimicking creative procedure of human via the fourstages: creative objectives, creative process,creativity measurement and knowledge transformation.
Nowadays, web is gaining importance as a platform which provides different services and applications for facilitating the users. Further what are the significant aspects in developing these applications for student''s perspective? How these services helps to gain maximum resources with less effort as Cloud computing offering to the users e.g. software as a service. Cloud computing means computing in remote locations as Google Apps presents Cloud computing as an idea for future to provide the web based services for the users. There are different types of cloud computing shapes, plate form as services, software as a service, and hardware as a service. Author evaluates the usability of one of cloud based application to find out its usability issues and advantages for users and particularly focused on interactivity, privacy, and reliability issues.
This fully revised edition offers comprehensive, up-to-date coverage of the language of computing, including hardware and software applications, programming languages, networks and communications, the Internet and e-commerce. - Over 10,000 terms clearly explained. - Examples show words used in context. - Includes quotations from computing magazines and journals. - Useful tables of codes and programming languages. - Ideal for the student or general user.
Cloud Computing is actually a very simple concept. The ability to deliver software applications and other services via the Internet.Cloud computing is the same stuff you do with your computer, such as office tasks or storing files, except done online.The term ‘cloud computing' comes from the visual image of a cloud of data that floats out on the Internet, and which can be accessed from anywhere there's an Internet connection, on any computing device.In this book describe the cloud model and comparison of conventional computing and cloud computing and describe the advantages of it.This book explain virtualization and cloud service and cost effect when we use cloud computing.
Soft computing techniques have emerged as the most popular and widely used techniques in the field of Software Engineering as they offer the advantages of reduced cost, time, maintenance and increased productivity. In this book, few soft computing techniques (i.e. Fuzzy-Logic (FL), Neural Network (NN) and Neuro-Fuzzy (NF)) have been proposed to automate the software development process and are found to be suitable at the various phases of software development. The book is organized into nine chapters according to the phases of Software Development Life Cycle (SDLC). Effective utilization of soft computing techniques should result in increased productivity and quality, reduced cycle time, and lesser costs in the long run. Therefore, this book is useful to further explore various emerging soft computing technologies, including neural computing techniques such as Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), hybrid soft computing models based on neural, fuzzy and evolutionary computation technologies.
Dr.Rega Rajendra did Bachelor and Master degrees in Mechanical Engineering with Specilization in Production Engineering at University College of Engineering, Osmania University, Hyderabad, India, and pursued PhD programme at Indian Institute of Technology Kharagpur, India. He main interests are in the field of manufacturing and metrology. He has keen interest in Soft Computing applications to Robotics. He is currently working in Osmania University, Hyderabad, India Prof. D.K. Pratihar received his Ph.D. from IIT Kanpur, India in 2000. He received University Gold Medal, A.M. Das Memorial Medal, Institution of Engineers’ (I) Medal, and others. He completed his post-doctoral studies in Germany under the AvH Fellowship Programme. He is working as a Professor of IIT Kharagpur, India. His research areas include robotics, soft computing and manufacturing science. He has published more than 150 papers. He has written a textbook on “Soft Computing”, co-authored another textbook on “Analytical Engineering Mechanics”, edited a book on “Intelligent and Autonomous Systems”, co-authored a reference book on “Modeling and Analysis of Six-legged Robots”. He is in editorial board of ten Internatio
I am inspired by the fact that modern control engineering deals with improving manufacturing processes, the efficiency of energy use, advanced automobile control, chemical processes, traffic control systems and robotic systems, among others. This book provides the first systematic application of Artificial Intelligence using Soft Computing Approaches. This book also aims at demystifying the concept of soft computing application by using step by step methods. This book would be useful for the researchers who are interested in carrying out their work on Soft Computing Methods.
Well-known security experts decipher the most challenging aspect of cloud computing-security Cloud computing allows for both large and small organizations to have the opportunity to use Internet-based services so that they can reduce start-up costs, lower capital expenditures, use services on a pay-as-you-use basis, access applications only as needed, and quickly reduce or increase capacities. However, these benefits are accompanied by a myriad of security issues, and this valuable book tackles the most common security challenges that cloud computing faces. The authors offer you years of unparalleled expertise and knowledge as they discuss the extremely challenging topics of data ownership, privacy protections, data mobility, quality of service and service levels, bandwidth costs, data protection, and support. As the most current and complete guide to helping you find your way through a maze of security minefields, this book is mandatory reading if you are involved in any aspect of cloud computing. Coverage Includes: Cloud Computing Fundamentals Cloud Computing Architecture Cloud Computing Software Security Fundamentals Cloud Computing Risks Issues Cloud Computing Security Challenges Cloud Computing Security Architecture Cloud Computing Life Cycle Issues Useful Next Steps and Approaches
Cloud computing employs on-demand resource provisioning to applications that share the computing infrastructures to increase the resource utilization and thus reduce the cost. Due to the dramatic variation of the application demand, dynamic resource management becomes the enabling technology for the success of cloud computing paradigm. For example, we need to decide where to deploy application instances and how to distribute client requests to the instance replicas dynamically in a global environment. Also, we need to allocate resources to applications as quickly as possible to absorb the increasing demand. This book gives great explanations and investigations for these problems.
Today’s fast moving online world demands that companies have the right Cloud computing performance testing solution to be successful. Creating a poor customer experience can be catastrophic. These events can result in lost revenue, failed customer retention, and a viral spread of poor brand visibility. Anyone involved in the performance of a cloud based site will find this information valuable, especially those involved in the decision making and operations of consumer facing applications. Effective testing of performance, capacity and stability of Cloud computing systems often requires significant and, at times, cost-prohibitive investment in equipment and computing resources. This book, therefore, provides an introducer highlight on cloud computing performance testing method. This attempt will try to improved cloud computing performance testing understanding in Industry as well in engineering students who are interested doing research in same area.