This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications. This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation. Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.
This book comprehensively introduces fundamentals and applications of fermentative hydrogen production from organic wastes, consisting of eight chapters, covering the microbiology, biochemistry and enzymology of hydrogen production, the enrichment of hydrogen-producing microorganisms, the pretreatment of various organic wastes for hydrogen production, the influence of different physicochemical factors on hydrogen production, the kinetic models and simulation of biological process of fermentative hydrogen production, the optimization of biological hydrogen production process and the fermentative hydrogen production from sewage sludge. The book summarizes the most recent advances that have been made in this field and discusses bottlenecks of further development. This book gives a holistic picture of this technology and details the knowledge through illustrative diagrams, flow charts, and comprehensive tables. It is intended for undergraduate and graduate students who are interested in bioenergy and wastes management, researchers exploring microbial fermentation process, and engineers working on system optimization or other bioenergy applications.
Fermentative Hydrogen Production: From Fundamentals and Processes is a comprehensive examination of the theoretical and operational aspects of dark fermentative production of hydrogen. The book presents the latest technological developments, analyzes advantages and challenges, and discusses the potential for the maturity of dark fermentation. Part One analyzes the various technologies for hydrogen production, purification, storage, applications, and safety. In Part Two, first to third generation feedstocks are reviewed, as well as co-fermentation and solid and liquid wastes. Part Three examines the typical hydrogen-producing microorganisms in both pure and mixed cultures, along with sequencing techniques, pretreatment considerations, and engineering options. Part Four discusses influencing factors such as operational parameters, promotors, inhibitors, and has a dedicated section on the effects of Iron. Finally, Part Five directly compares dark hydrogen with other hydrogen production technologies through life cycle environmental impact assessments, highlighting bottlenecks and challenges in scaling up these technologies. - Critically reviews the fundamentals and environmental impacts of biological hydrogen production technologies - Evaluates and compares various feedstocks for biohydrogen production, including co-fermentation of different feedstocks - Examines the use of pure and mixed cultures - Provides case studies with real-world applications of the technologies discussed in the book
This book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the overall situation of grassland in China in the context of global climate change and build a scenario for the driving force quantitative evaluation. It will be an essential reference to the terrestrial ecosystem carbon cycle and degraded grassland ecological restoration engineer implementation. Chapters are carefully developed to cover (1) situation of grassland in China; (2) spatial-temporal of grassland coverage in China;(3) net primary productivity evaluation; (4) carbon sink/source accounting and its carbon-hydrology effect;(5) grassland landscape pattern; (6) grassland degradation evaluation based on remote sensing;(7) Grassland degradation restoration and constructing green ecological protective screen. The new scenario and driving mechanism evaluation model make this book a valuable read for researcher of land ecosystem carbon cycle, ecosytem degradation remote sensing evaluation as well as organizations engaged in eco-restoration practices.
This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications. This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation. Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.
This book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the overall situation of grassland in China in the context of global climate change and build a scenario for the driving force quantitative evaluation. It will be an essential reference to the terrestrial ecosystem carbon cycle and degraded grassland ecological restoration engineer implementation. Chapters are carefully developed to cover (1) situation of grassland in China; (2) spatial-temporal of grassland coverage in China;(3) net primary productivity evaluation; (4) carbon sink/source accounting and its carbon-hydrology effect;(5) grassland landscape pattern; (6) grassland degradation evaluation based on remote sensing;(7) Grassland degradation restoration and constructing green ecological protective screen. The new scenario and driving mechanism evaluation model make this book a valuable read for researcher of land ecosystem carbon cycle, ecosytem degradation remote sensing evaluation as well as organizations engaged in eco-restoration practices.
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