Böcker i SpringerBriefs in Electrical and Computer Engineering-serien

This book showcases recent trends in brain-computer interface development. It highlights fascinating results in areas such as language decoding, spinal cord stimulation to enable gait and to restore hand functions. The contributions are based on the 12 nominated brain-computer interface projects of the BCI Award 2022. Every year an international jury selects the most innovate BCI projects and nominates 12 projects before selecting the 1st, 2nd and 3rd place winners. In the book, each project is described in detail by the team of scientists behind it, and the editors provide a concluding discussion of the highlights and overall progress in the field.

This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods.The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods  for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data.The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.

The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints.

This brief focuses on the structural properties of nonlinear time-delay systems.

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing.

This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures.

This brief describes the basics of Riemannian optimization¿optimization on Riemannian manifolds¿introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields.To provide the reader with a smooth introduction to Riemannian optimization, brief reviews of mathematical optimization in Euclidean spaces and Riemannian geometry are included. Riemannian optimization is then introduced by merging these concepts. In particular, the Euclidean and Riemannian conjugate gradient methods are discussed in detail. A brief review of recent developments in Riemannian optimization is also provided. Riemannian optimization methods are applicable to many problems in various fields. This brief discusses some important applications including the eigenvalue and singular value decompositions in numericallinear algebra, optimal model reduction in control engineering, and canonical correlation analysis in statistics.

The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research.

This book provides a detailed description of network science concepts applied to power systems and electricity markets, offering an appropriate blend of theoretical background and practical applications for operation and power system planning.

The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research. Each article is authored by the group of researchers who developed the project, and articles have been updated with new progress achieved since 2018.

This book summarizes the latest research on cognitive network-layer methods and smart adaptive physical-layer methods in underwater networks.

This book presents a novel methodology for the computation of RCS of metallic structures using a parallelized version of NEC in conjunction with a finite element preprocessor which has been strategically incorporated for simplifying geometry modelling catering to NEC guidelines.

Using confluencity and relative optimization, the author classifies states as confluent or branching and shows how the under-selectivity issue of the long-run average can be easily addressed, multi-class optimization implemented, and Nth biases and Blackwell optimality conditions derived.

This Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment.

This book presents the theory, analysis, and design of multiband dual-function microwave and millimeter-wave CMOS radio frequency integrated circuit (RFIC) filter-switches capable of simultaneous switching and filtering, which are relevant for advanced multiband RF systems.

In turn, four typical convergence scenarios are studied in detail: the convergence of energy and communication, convergence of energy and computation, convergence of communication and computation, and convergence of energy, communication and computation.

This Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this concept for the publication of real-time statistics based on sensitive data.

This book provides a novel perspective on the concept of memetics as applied to the development and evolution of intelligent robots and robotic communities/cultures. It provides a framework for the emergence of a hybrid community of people and intelligent robots collaborating to realize mutual benefits and scientific objectives.

This book describes the development of an adaptive state observer using a mathematical model to achieve high performance for sensorless induction motor drives.

This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. Based on the lecture notes of eight courses taught by the authors, the book is also self-contained, with no theory needed beyond the lectures.

It starts with the derivative-free proof of conjugate matching, goes through the nonlinear, resistive maximum power theorem and its reversal, extension of the concept of equivalence in the case of nonlinear circuits, application of the nonlinear, and resistive maximum power theorem for diode measurement.

This book discusses the enhancement of efficiency in currently used solar cells. The authors have characterized different structures of the solar cell system to optimize system parameters, particularly the performance of the Copper-Tin-Sulphide solar cell using Solar Cell Capacitance Simulator (SCAPS). This research can help scientist to overcome the current limitations and build up new designs of the system with higher efficiency and greater functionality. The authors have investigated the corresponding samples from various viewpoints, including structural (crystallinity, composition and surface morphology), optical (UV-vis-near-IR transmittance/re¿ectance spectra) and electrical resistivity properties. Describes investigations on Cu2SnS3 solar cells and prospective low cost absorber layer of thin film solar cells;Discusses the potential device structure of Copper-Tin-Sulphide based on thin film technologies;Explains solar cell structure optimization to perform a higher conversion efficiency of Copper-Tin-Sulphide.

The purpose of this book is to distinguish the single-de-source multilevel inverter topologies and to teach their control, switching and voltage balancing. It includes new information on voltage balancing and control of multilevel inverters.The book answers some important questions about the revolution of power electronics converters:1- Why multilevel inverter are better than 2-level ones?2- Why single-de-source multilevel inverters are a matter of interest?3- What are the redundant switching states and what do they do?4- How to use redundant switching states in control and voltage balancing?5- What are the applications of single-de-source multilevel inverters?

Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario.

This SpringerBrief introduces the current research status on emerging multiple access schemes for mMTC, which provides an integrated reference for future research works.

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications.

This book describes Service-Oriented Architecture (SOA) and the significant factors which affect its adoption, such as governance, strategy, complexity, Return on Investment (ROI), business and IT alignment, culture and communication, costs, and security.

This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity.Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ¿scalable¿ means that the computational and implementation complexities do not grow rapidly with the network size.This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.

Each year, the Annual BCI Research Award recognizes the top new projects in brain-computer interface (BCI) research.