Ramon Perez – författare

Get all of the drama Degrassi High School has to offer in the second book of the Extra Credit series as Emma gets her groove back only to realize things with Peter might not be as great as they once were, and Jimmy faces tough decisions after a hazing incident on the basketball team. After a family trip to New York City and some helpful sessions of group therapy, Emma is convinced she has her groove back. But just as she returns to her old self, her relationship with Peter begins to suffer. She can’t figure out if Peter is helping her recover or just holding her back… At the same time, Jimmy finds himself dealing with the fallout of a huge hazing incident while coaching at basketball camp. He is unable to determine if the initiation disaster was just a prank or if the kids intentionally crossed the line…and when the police get involved, Jimmy is faced with a tough decision. This graphic novel takes fans beyond the hallways of the high school into the intense drama and tough decisions of their favorite characters in an expansion of the Teen Nick television series, Degrassi.

Family forward! The events of Absolute Power have left the Flash family reeling and in need of a desperate regroup. Where better to do so than Skartaris, in the center of the Earth! A brand new Flash story arc starts here. The Flash family must grapple with a new status quo thanks to the cataclysmic events of Absolute Power, and the tectonic shifts have left Wally West on the precipice of an evolution into a new form. Thankfully, these powers may be something he can share with his family! The Flash family is ALL IN and a can t-miss story arc starts here, kicking off a brand new chapter of Flash history. Collects The Flash #14-19.

This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees.The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain.The proposed approaches and tools cover:• decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow and pressure actuators—pumping stations and pressure regulation valves— and intermediate storage tanks to beoperated to meet demand using the most sustainable types of source and with minimum electricity costs;• decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection and diagnosis techniques and using information from hundreds of flow, pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators;• consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns, providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level.Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increasedpopulation, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources.

This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees.The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain.The proposed approaches and tools cover:• decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow and pressure actuators—pumping stations and pressure regulation valves— and intermediate storage tanks to beoperated to meet demand using the most sustainable types of source and with minimum electricity costs;• decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection and diagnosis techniques and using information from hundreds of flow, pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators;• consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns, providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level.Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increasedpopulation, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources.