Catálogo de publicaciones

En el siguiente documento se propone un análisis integrado de los fenómenos amenazantes por condiciones socio naturales comprendidos en el espacio geográfico que abarca la cuenca hidrográfica del río Totare, en correlación con la dinámica y evolución de las tendencias de variabilidad climática, presiones sobre el recurso hídrico y transformación del paisaje y ecosistema natural hacia elementos de destinación antrópica. El análisis fue realizado a través de la aplicación de técnicas y herramientas geoespaciales como la teledetección y los sistemas de información geográfica. Las variables meteorológicas de temperatura y precipitación fueron estimadas mediante el uso de sensores remotos y álgebra de mapas. Para los factores de transformación de la base ambiental se realizó una clasificación digital mediante técnicas no supervisadas y supervisadas, y el procesamiento digital de imágenes en distintas temporalidades respecto al cálculo del índice de vegetación (NDVI). La determinación de las condiciones hídricas se realizó mediante un balance hídrico espacial, así como el cálculo de la oferta hídrica neta, la valoración de la demanda de agua por usos económicos y la integración de estas condiciones a través del índice de escasez hídrica, aplicando para ello herramientas de superposición espacial y cálculos entre las bases de datos asociadas a las entidades espaciales. El capítulo final muestra los resultados encontrados en cada uno los anteriores procedimientos, y concluye con un análisis de correlación espacio temporal de las amenazas múltiples (multiamenaza) integradas con los factores climáticos, hídricos y ambientales, a partir del cual se pudo evidenciar vínculos de causa y efecto entre las alteraciones antropogénicas al ambiente, como por ejemplo la deforestación, con los resultados de escasez hídrica y fenómenos amenazantes de movimientos en masa, incendios forestales e inundaciones. Se logró establecer la diferenciación espacial de sectores al interior de la subzona hidrográfica del Totare con mayores presiones al ambiente, la calidad de vida de los pobladores y la propensión a eventos de amenaza socio natural. Estas condiciones reunidas muestran que para algunos lugares en el territorio existe una baja resiliencia frente a los retos del cambio climático, mientras otros espacios guardan aún capacidad basados en la oferta ambiental.

Wind Energy Systems: Modeling, Analysis and Control with DFIG provides key information on machine/converter modelling strategies based on space vectors, complex vector, and further frequency-domain variables. It includes applications that focus on wind energy grid integration, with analysis and control explanations with examples.

For those working in the field of wind energy integration examining the potential risk of stability is key, this edition looks at how wind energy is modelled, what kind of control systems are adopted, how it interacts with the grid, as well as suitable study approaches.

Not only giving principles behind the dynamics of wind energy grid integration system, but also examining different strategies for analysis, such as frequency-domain-based and state-space-based approaches.

• Focuses on real and reactive power control
• Supported by PSCAD and Matlab/Simulink examples
• Considers the difference in control objectives between ac drive systems and grid integration systems

Modelling and Precision Control of Systems with Hysteresis covers the piezoelectric and other smart materials that are increasingly employed as actuators in precision engineering, from scanning probe microscopes (SPMs) in life science and nano-manufacturing, to precision active optics in astronomy, including space laser communication, space imaging cameras, and the micro-electro-mechanical systems (MEMS). As smart materials are known for having hysteretic dynamics, it is necessary to overcome issues with a broadband range of frequencies.

This book offers both the mathematical tools for modeling the systems and applications, including complete case studies and source code for the experiments to help both academics and researchers in the industry to achieve precision in the control of Smart Actuator systems.

• Provides a comprehensive identification of typical complex hysteresis
• Presents control algorithm design for systems with hysteresis
• Contain numerous real life examples and two complete case studies
• Source code to examples are provided

Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems. It focuses on the theories, tools, applications and uses of modeling and simulation in order to effectively optimize networks. It describes methodologies for modeling and simulation of new generations of wireless and mobiles networks and cloud and grid computing systems.

Drawing upon years of practical experience and using numerous examples and illustrative applications recognized experts in both academia and industry, discuss:

• Important and emerging topics in computer networks and systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks
• Methodologies, strategies and tools, and strategies needed to build computer networks and systems modeling and simulation from the bottom up
• Different network performance metrics including, mobility, congestion, quality of service, security and more...

Modeling and Simulation of Computer Networks and Systems is a must have resource for network architects, engineers and researchers who want to gain insight into optimizing network performance through the use of modeling and simulation.

• Discusses important and emerging topics in computer networks and Systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks
• Provides the necessary methodologies, strategies and tools needed to build computer networks and systems modeling and simulation from the bottom up
• Includes comprehensive review and evaluation of simulation tools and methodologies and different network performance metrics including mobility, congestion, quality of service, security and more

Computational modeling is an important tool for understanding and improving food processing and manufacturing. It is used for many different purposes, including process design and process optimization. However, modeling goes beyond the process and can include applications to understand and optimize food storage and the food supply chain, and to perform a life cycle analysis. Modeling Food Processing Operations provides a comprehensive overview of the various applications of modeling in conventional food processing. The needs of industry, current practices, and state-of-the-art technologies are examined, and case studies are provided.

Part One provides an introduction to the topic, with a particular focus on modeling and simulation strategies in food processing operations. Part Two reviews the modeling of various food processes involving heating and cooling. These processes include: thermal inactivation; sterilization and pasteurization; drying; baking; frying; and chilled and frozen food processing, storage and display. Part Three examines the modeling of multiphase unit operations such as membrane separation, extrusion processes and food digestion, and reviews models used to optimize food distribution.

• Comprehensively reviews the various applications of modeling in conventional food processing
• Examines the modeling of multiphase unit operations and various food processes involving heating and cooling
• Analyzes the models used to optimize food distribution