Jumat, 15 April 2016

1Bookcase - 9 books ready for downloading


1Bookcase - 9 books ready for downloading

Link to 1Bookcase

Advanced Intelligent Systems

Posted: 14 Apr 2016 01:37 PM PDT

Springer.Advanced.Intelligent.Systems

Advanced Intelligent Systems (Advances in Intelligent Systems and Computing).

Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrated and foundationally functional components. The book consists of 19 contributions that features social network-based recommender systems, application of fuzzy enforcement, energy visualization, ultrasonic muscular thickness measurement, regional analysis and predictive modeling, analysis of 3D polygon data, blood pressure estimation system, fuzzy human model, fuzzy ultrasonic imaging method, ultrasonic mobile smart technology, pseudo-normal image synthesis, subspace classifier, mobile object tracking, standing-up motion guidance system, recognition structure, multi-CAM and multi-viewer, robust Gaussian Kernel, multi human movement trajectory extraction, and fashion coordination. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and authorization.

The post Advanced Intelligent Systems appeared first on 1Bookcase.

Cloud Computing Basics

Posted: 14 Apr 2016 01:34 PM PDT

Springer.Cloud.Computing.Basics

Cloud Computing Basics (SpringerBriefs in Electrical and Computer Engineering).

Cloud Computing Basics covers the main aspects of this fast moving technology so that both practitioners and students will be able to understand cloud computing. The author highlights the key aspects of this technology that a potential user might want to investigate before deciding to adopt this service. This book explains how cloud services can be used to augment existing services such as storage, backup and recovery. Addressing the details on how cloud security works and what the users must be prepared for when they move their data to the cloud. Also this book discusses how businesses could prepare for compliance with the laws as well as industry standards such as the Payment Card Industry.

The post Cloud Computing Basics appeared first on 1Bookcase.

Cloud Data Management

Posted: 14 Apr 2016 01:31 PM PDT

Springer.Cloud.Data.Management

Cloud Data Management.

In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost.

Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.

The post Cloud Data Management appeared first on 1Bookcase.

Computational Intelligence in Image Processing

Posted: 14 Apr 2016 01:28 PM PDT

Springer.Computational.Intelligence.in.Image.Processing

Computational Intelligence in Image Processing.

Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems.

  • Part I of the book discusses several image preprocessing algorithms
  • Part II broadly covers image compression algorithms
  • Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes
  • Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing

The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and it is suitable as a reference for engineers, researchers and graduate students.

The post Computational Intelligence in Image Processing appeared first on 1Bookcase.

Engineering and Management of IT-based Service Systems

Posted: 14 Apr 2016 01:20 PM PDT

Springer.Engineering.and.Management.of.IT-based.Service.Systems

Engineering and Management of IT-based Service Systems: An Intelligent Decision-Making Support Systems Approach (Intelligent Systems Reference Library).

Intelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms.

This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii)  diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational.

The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: problems of selection of IT service providers, optimization of supply chain systems, IT governance decisions, clinical decision support, dynamic user-interface adaptation, re-engineering of processes, and generic decision problems. Advanced IT technologies used in some chapters are:  fuzzy multi-criteria mechanisms, semantic processing, data mining processing, and rough sets. Other chapters report traditional DSS mechanisms but used or suggested to be used in innovative mode for IT service engineering and management tasks.

The post Engineering and Management of IT-based Service Systems appeared first on 1Bookcase.

Human Computer Interaction Using Hand Gestures

Posted: 14 Apr 2016 01:15 PM PDT

Springer.Human.Computer.Interaction.Using.Hand.Gestures

Human Computer Interaction Using Hand Gestures (Cognitive Science and Technology).

Human computer interaction (HCI) plays a vital role in bridging the ‘Digital Divide’, bringing people closer to consumer electronics control in the ‘lounge’. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their ‘lounge.’ This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI.

The post Human Computer Interaction Using Hand Gestures appeared first on 1Bookcase.

Kernel Learning Algorithms for Face Recognition

Posted: 14 Apr 2016 01:12 PM PDT

Springer.Kernel.Learning.Algorithms.for.Face.Recognition

Kernel Learning Algorithms for Face Recognition.

This book discusses the advanced kernel learning algorithms and its application on face recognition. The book focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. This authors aim to solve the parameter selection problems endured by kernel learning algorithms, and presents kernel optimization method with the data dependent kernel. This text extends the definition of data-dependent kernel and applies it to kernel optimization. Included within are algorithms of kernel based face recognition and the feasibility of the kernel based face recognition method.

The post Kernel Learning Algorithms for Face Recognition appeared first on 1Bookcase.

Numerical Computations with GPUs

Posted: 14 Apr 2016 01:07 PM PDT

Springer.Numerical.Computations.with.GPUs

Numerical Computations with GPUs.

This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.

The post Numerical Computations with GPUs appeared first on 1Bookcase.

Text Analysis with R for Students of Literature

Posted: 14 Apr 2016 01:03 PM PDT

Springer.Text.Analysis.with.R.for.Students.of.Literature

Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences).

Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale "microanalysis" of single texts to large scale "macroanalysis" of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book's focus is on making the technical palatable and making the technical useful and immediately gratifying.

The post Text Analysis with R for Students of Literature appeared first on 1Bookcase.

Tidak ada komentar:

Posting Komentar