This book presents original results on the leading edge of computer science research. The first chapter begins by presenting several supervised machine learning methods and their applications in analysing microarray and genotyping data to classify and predict sample phenotypes. Chapter two presents the design and implementation of the EstiNet cloud, and evaluates its performance. Chapter three proposes a simple high switching power supply designed especially for large battery charging. Chapter four studies the constant control of temperature, with the microcontroller PIC, by iterative adjustments of the temperature on a thermal sensor from the heat source. Chapter five proposes two types of pinning control protocols to ensure group consensus regardless of the magnitude of the coupling strengths among the agents. Chapter six describes how point clouds are constructed, and provides a brief discussion on the currently available software that is used for the processing of point clouds. The final chapter reviews the metamodels used to approximate computationally expensive simulations.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include weighted fusion of shape descriptor for robust shape classification; metaheuristics for curve and surface reconstruction; stream-based parallel computing methodology and development environment for high performance many core accelerators; h-infinity recursive wiener fixed-interval smoother based on innovation approach in linear discrete-time stochastic systems; and virtual supercomputers as the basis of scientific computing.

In this compilation, the values for the website features, such as number of errors in HTML code, content readability score, page load time, bounce rate, etc. were collected with a specially developed web intelligence miner from available linked open data sources, the accuracy of which was investigated. Usability and similarity evaluations were obtained from 100+ international users interacting with 21 websites of selected German and Russian universities. Next, the authors discuss the application of data mining and machine learning methods in basic research, clinical diagnosis, and treatment of ALS, hoping that this chapter will provide useful resources for people who are interested in applying big data analysis of human disease research. The authors also introduce the Network-on-Chip paradigm to effectively communicate between on-chip cores, providing a basic introduction to WiNoC architectures and a comprehensive review of recent research efforts. A systematic methodology for modeling and control of flexible manufacturing networks for mass customization is presented, especially focusing on formal representation and control synthesis aspects. Manufacturing networks are formed out of complex interconnections amongst various manufacturing and service facilities, from supply chains located in geographically different places, in a global manufacturing and distribution communication network to machine control systems in a factory. Following this, a study was conducted on agricultural land use planning in Guangdong Province, which aims to make agricultural land use planning and management of information in Guangdong Province scientific and systematic. Specific studies include: basic concepts of geographic information systems and agricultural planning studies; exploration of the space content digitizing method; building the relevant geographic information database; and agricultural land use planning GIS. The authors give a brief overview of ArcGIS and elaborates on the survey study for GIS technology at home and abroad, as well as its purpose and significance. Using ArcGIS, they conduct and edit the geographic information, construct an electronic map, and build up a meteorological system database using SQL Server. After that, the meteorological information system of Guangdong Province is developed with inquiry and display functions. The final chapter presents a detailed faults/defects analysis and an effcient reliability assessment method to approximate the lifetime reliability of a NoC system. Also, this chapter presents an architecture and hardware design of a fault-tolerant TSV based 3D-NoC system which can handle major failures (i.e., hard-faults, soft-errors and TSV-defects) that can occur in TSV-based 3D-NoC systems.

In the first chapter of this book, Jose M. Chaves-Gonzalez discusses DNA sequence design and proposes a multi-objective approach using swarm intelligence to solve optimisation issues. In the second chapter, Alina Andreica suggests the significance of using systematically applied mathematical algorithms to design and implement software. Additionally, she proposes specific mathematical models of problems of equivalence and simplification. Next, Galina M. Antonova provides a supplement of findings presented in the book Pattern Recognition: Practices, Perspectives and Challenges (D B Vincent; Nova Science Publishers Inc, 2013) in the third chapter. In the fourth chapter, Mohammed Blej and Mostafa Azizi propose the use of fuzzy logic in order to efficiently schedule in real-time systems. Following this, in the fifth chapter Jose F L Naranjo, Julio C B Torres, and Roberto A Tenenbaum explore an advantageous configuration for spatial interpolation of Head Related Impulse Responses, or HRIRs, through artificial neural networks, making this appropriate for auralisation systems. Marcia Horn, Sandro Sawicki, Fabricia Roos-Frantz, Rafael Z Frantz, and Igor G Haugg examine the performance of application integration solutions through the development of formal models of simulation established on Markov chains in the sixth chapter. Next, the seventh chapter by Alexsandro Q Lencina, Roberto S Cargnin, Fabricia Roos-Frantz, Rafael Z Frantz, and Sandro Sawicki presents a case study on an integration solution to a real-world problem of integration in managing research results. Following this, the eighth chapter by Seiichi Nakamori explores continual temperature regulation in a closed space using the Arduino program. In the ninth and final chapter, Jonghoek Kim discusses the building of an information (sensor) network through numerous robots setting out information nodes.

This book presents original results on the leading edge of computer science research. Chapter One reviews a framework for high-dimensional optimization problems. Chapter Two proposes the use of Stable Logical Infrastructures (SLI) for the effective and strategic reuse of architectural designs. Chapter Three discusses the control system design problems for autonomous intelligent robot systems from the viewpoint of a Petri net approach. Chapter Four studies predation tactics on grouping prey via individual-based computational models. Chapter Five defines a rating contribution ratio and quantifies it from the perspective of a collaborative filtering algorithm; discusses a method of efficiently improving the recommendation accuracy by performing several simulations experiments; and defines and formulates the rating contribution ratio based on a user-based collaborative filtering algorithm. Chapter Six proposes a conceptual bilateral Cloud Forensic-as-a-Service model where both consumers and providers can independently collect, verify the equity of the forensic analysis process and try to resolve potential disputes emerging from the independently collected results. Chapter Seven develops a cellular and iridium network based blood pressure and body temperature remote measurement platform for mobile healthcare education.

This book presents original results on the leading edge of computer science research. Chapter One discusses motion planning for robots with rigid bodies. Chapter Two provides an overview of handheld/mobile computing devices, pathology applications, social media in the context of pathology, and novel mobile-driven technologies like wearables and mixed reality tech, and discusses their potential impact in pathology. Chapter Three focuses on reliability and accessibility issues of a distributed cloud service based on Semi-Markov modeling. Chapter Four examines parallel dynamic programming for large-scale date applications. Chapter Five presents the ensemble of both texture and color features for reliable person re-identification. Chapter Six provides an overview of common techniques and commercial products used in tracking people and objects within indoor environments. Chapter Seven analyses quadratic programming formulation for controlling the emissions of air pollution point sources.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include telecommunication network security; application of cloud computing in preclinical radiation treatment planning; computational cryptography based on phase encoding and intensity pattern superposition via optics theory; an agent-based optimised cloud service discovery system; computing network reliability with diameter constraints; a survey on the open source tools for modelling and implementing enterprise application integration solutions; a technology proposal to realise enterprise application integration.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include coverage and intrusion detection in wireless sensor networks; computer networks, the internet, and green IT; security in wireless sensor networks; performance of a tree routing topology for wireless sensor networks using different platforms; location estimation in modern mobile computing environments; towards a gender-focused programming performance model; methodologies and processes language for the software industry; design of Luria memory test for older adults on mobile devices; synchronizing nods of a computer-generated character and a speaker using thermal image processing; evaluation of effective parameters of energy consumption in wireless sensor networks; computer aided-thermal module design; and a high performance hybrid FAT32 file system.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include the deformation of materials from macro- to nanoscale and numerical modeling; enabling end-to-end QoS guarantees in the next generation internet with service overlay networks; neuro-fuzzy systems for autonomous mobile robots; semantic technologies to model and control the composability of complex systems; load-distribution algorithm for grid computing with heterogeneous tasks; a hybrid approach for robot policy adaptation; using mobile web applications as a multi-platform mechanism to communicate users with embedded devices; genetic programming as a solver to challenging reinforcement learning problems; design and implementation of a system for interactive high-dimensional vector field visualization; and Routley-Star and informational interpretation.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include online impairment aware routing and wavelength assignment in WDM optical networks; data fusion in ad-hoc networks; NCTUns distributed network emulator; wireless mesh sensor networks and fully adaptive wormhole router design for network-on-chips.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed in this compilation include contemporary DRAM memories using predictors; database management in risk analysis for nuclear reactors; simulating load balancing in a distributed service architecture; ViER and VaSER analyses of logic circuits in advanced CMOS processes; VLSI circuit design for fuzzy C-means algorithm in reconfigurable hardware; scheduling in WiMAX mesh networks and performance evaluation of configurable multiprocessors.

This compilation opens with a review of the applications of several anomaly-based methods under the computational intelligence umbrella for the detection of DDoS attacks. Following this, a study is carried out to reveal the effects of a device developed to enable visually-impaired people to read any document in the Braille alphabet. The performance of the Artificial Bee Colony (ABC) algorithm on CEC2010 benchmark problems is also studied, with the goal of increasing the performance of the algorithm changes presented in large-scale optimization problems. Later, the opportunities and limitations of present waste management techniques are highlighted, and some future research proposals are discussed. The authors provide an overview of the field of motion capture focusing on methods, systems, and applications. More information about the motion processing and motion reconstruction technologies applied in the most prevalent optical and inertial systems is presented. In closing, a partially-manual method for using images to measure body poses is presented and discussed.

Horizons in Computer Science Research. Volume 18 first discusses intermittently connected networks, a form of the delay tolerant network, where there never exists a complete end-to-end path between two nodes wishing to communicate. The authors provide an overview of the current algorithms (both analytic and iterative) for the generation of tomographic images, including comparisons of the basic characteristics of image quality. An intelligent scheduling framework is proposed to alleviate the problems encountered in modern job scheduling. The challenges of high performance computing scheduling and state-of-art scheduling methods to overcome these challenges are investigated. The state of art developments in quantum cryptography are presented, as well as the fundamental laws of quantum physics that quantum key distribution is based on. Subsequently, three main protocols of key distribution are introduced which enable users to share a secret between them. Three iterative methods for dose reconstruction in protoacoustics are discussed, including: gradient-descent algorithm, SART and MLEM, which are widely used in other medical imaging modalities such as PET, SPECT and CT. Additionally, the authors evaluate the behaviour of the concurrent execution of tasks in different implementations by Java virtual machines. The performance measurements were analysed by rigorous statistical techniques: analysis of Variance and HSD comparison test of Tukey averages. A mathematical model for finding the distribution of threads in local pools that minimises the makespan in integration processes is also presented. Makespan is a metric that calculates the average time a message takes to be executed by an integration process. In closing, varied knowledge sources for aspect clustering are explored a new method, OpCluster-PT, is proposed. To support this research, annotated corpora and some related resources that are publicly available to the interested reader have been included.

This compilation opens with a study wherein state of the art publications on Big Data Analytics are analyzed in order to create an updated classification scheme with several orthogonal dimensions of classification. These dimensions include stages of application, challenges, solution origins, specialization of technologies, purpose, ownership, data processing, data types applied and intended user types. The authors propose that we need an effective data extraction method to gather required data and present it in a meaningful form for further analysis. Next generation interactive data analysis with real time responses requires scalable complex data processing methods to generate meaningful insights. Thus, powerful visualization methods should be designed to allow users to generate reports based on various parameters in a comprehensible way. The authors also outline highly modular framework for the generation and realization of multimodal natural communication incorporating embodied conversational agents, male or female. The personification of the machine responses is achieved through automatic generation and visualization of co-verbal behavior, based on the behavior generation engine, and the physical realization via behavior realization engines based on Unity Game engines core. When a designer is confronted with multi-stakeholders scenarios of use in which the needs of one user group may clash with, compete or be orthogonal to others, the responsibility of sorting, prioritising and including user needs in the user interface solely remains within designers domain. As such, this collection proposes that in an integrated technology ecosystem, user interface designers must have the ability to to uncover user needs that may make an impact on peoples digital experience. The following paper analyzes the basic forms of the legal protection of graphical user interfaces in the European Union, describing the basic principles of protecting registered community designs. The authors deal with the copyright protection of graphical user interfaces, highlighting the advantages and disadvantages of such regimes of protection and their possible overlap. The penultimate chapter outlines the need, terminology, features, types, architecture, uses, and security tools available for data warehouse. The importance of security tools for data warehouse is greater than ever before, so the strategies, and economics of security measures are discussed and the types and effectiveness of security measures are evaluated. Lastly, the authors consider the problem of auto speed scaling scheme optimization for elastic cloud computing platforms. It is observed that there is a tradeoff between performance and cost, i.e., the highest performance and the lowest cost cannot be achieved simultaneously. To analyze this, a queueing model to study a vertically scalable cloud platform, i.e., a multiserver system with variable speed, where both the performance and cost can be characterized effectively.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include e-science machine learning and knowledge discovery in databases; intuitive human-robot interaction; virtual laboratories in physics education; linear dimensionality reduction and feature selection for visual object recognition; and a distributed infrastructure for monitoring network resources.

This book presents original research results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum.

This volume presents original research results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum.

This book presents original research results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum.

This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed in this compilation include multi-path routing protocols for ad hoc networks; development of software to characterise particulate matter in air pollution; web-based software infrastructure for service-oriented science; clinical applications of wearable monitoring systems; distributed computing; and, encryption software and computer science firewalls.

Volume 19 first describes the principles, materials and processes in 2.5D printing and post-press enhancement based on the authors' research. This compilation goes on to discuss Hadoop, a pioneering open source framework that has revolutionized the big data world due to its ability to process vast amounts of unstructured and semi-structured data by distributing a massive amount of data across clusters. A new tool that uses general and query-based summarization to analyze students' log files at the Academic Center for Tutoring at Columbus State University, a small state university in Georgia, USA, is introduced. The concept of a Vehicle Accident Prediction System is presented using accident datasets based on actual vehicle accident data extracted from open-source datasets. The current problem of rapid data increase throughout the year is discussed, along with the available options for gaining useful insight from World Wide Web created data. A review of different methods for Audio-Visual Speech Recognition using Random Forest is presented, and a strategy based on the combination of Wavelet multiresolution analysis and Random Forest is proposed. The authors review six recent applications of autoencoders in cryo-EM and cryo-ET data analysis, discussing the autoencoders' strength and weaknesses to provide potential directions for future research. In closing, an algorithm is presented which uses ensembles of metamodels and classifiers to predict which candidate designs for computer simulations are expected to cause failures and to divert the search accordingly.