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These proceedings contain research presented at the 6th International Conference on Dynamics in Logistics, held in February 2018.The integration of dynamics within the modeling, planning and control of logistic processes and networks has shown to contribute massively to the improvement of the latter. Moreover, diversification of markets and demand has increased both the complexity and the dynamic changes of problems within the area of logistics. To cope with these challenges, it must become possible to identify, describe and analyze such process changes. Moreover, logistic processes and networks must be revised to be rapidly and flexibly adaptable to continuously changing conditions. This book presents new ideas to solve such problems, offering technological, algorithmic and conceptual improvements. It primarily addresses researchers and practitioners in the field of industrial engineering and logistics.
Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
This book introduce neurourology as an emerging interdisciplinary area that covers the basic and clinical studies of the neural control on the normal lower urinary tract and the lower/upper urinary tract dysfunction due to neuropathy disorders. It systematically describes all aspects of neurourology from the epidemiology of the neurogenic bladder; to the pathology and pathophysiology of the lower urinary tract; to the diagnosis and treatment of the neurogenic bladder by conservative therapies or surgeries. This book provides a useful resource for medical doctors, nurses and students in the field of neurourological conditions. All the topics are written by internationally recognized specialists in their field.
These proceedings of the SAI Intelligent Systems Conference 2016 (IntelliSys 2016) offer a remarkable collection of chapters on a wide range of topics in intelligent systems, artificial intelligence and their applications to the real world. Authors hailing from 56 countries on 5 continents submitted 404 papers to the conference, attesting to the global importance of the conference’s themes. After being reviewed, 222 papers were accepted for presentation, and 168 were ultimately selected for these proceedings. Each has been reviewed on the basis of its originality, novelty and rigorousness. The papers not only present state-of-the-art methods and valuable experience from researchers in the related research areas; they also outline the field’s future development.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
This book explains to physical therapists, occupational therapists, speech therapists, interested physicians and clinicians the theoretical and practical applications of single- to multi-channel functional electrical stimulation for a wide range of neurological symptoms. The targeted electrical stimulation of several muscle groups, timed to each other, can initiate and support a complete movement sequence and thus improve motor learning. Renowned experts from research and practice have compiled numerous application examples based on the available evidence in this comprehensive form for the first time. In addition, the reader will find exciting and informative contributions to the current stu...
These conference proceedings include the specialized academic lecture and brief contributions presented at the Humans and Computers 2015 conference in Stuttgart. It provides multiple perspectives from research that collectively provide a kaleidoscope of ideas, theories, and methodologies. The conference bridges the gap between theory and practical implementation with numerous application-oriented essays.
This book presents selected articles from the Second International Workshop on Vehicular Adhoc Networks for Smart Cities, 2016 (IWVSC’2016). In order to promote further research activities and challenges, it highlights recent developments in vehicular networking technologies and their role in future smart cities.
Smart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system. This title discusses how artificial intelligence (AI) may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention....
SCI needs management by a team comprising of doctors, physiotherapists, occupational therapists, nurses, vocational counsellor, psychologist, assistive technologist, orthotist and social worker. Since the available textbooks did not address the requirements of all disciplines, the need for the proposed textbook was reinforced.