Two thermoresponsive polymers based on alkyl modified poly-vinylpyrrolidone (PVP) that exhibit very sensitive and reversible temperature-dependant water solubility are described. The application of these polymers as Au nanocatalyst stabilizers leads to a "smart" thermoresponsive Au nanoparticle catalyst.

Intelligent adaptive systems are sensitive to their environment, which enables them to address the complexity of modern software systems. As a result, they are able to adapt to changes in the environment autonomously. Numerous algorithms are available to provide adaptivity to the system. However, formal methods have not been widely used for specification and verification of adaptive systems. Ou...

This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller e...

A lack of clean water is becoming a problem in Europe. There is a need to develop easily accessible, cheap and reliable microsystems for water pollution monitoring and early warning, which could be used in most water resources on our continent. The objective of the FP5 project SEWING is to create a system of continuous water pollution monitoring in real time. Small and cheap smart sensors are b...

Background: The University of Maine Stormwater Management and Research Team (SMART) program began in 2014 with the goal of creating a diverse science-technology-engineering-math (STEM) pathway with community water research. The program engages female and underrepresented minority high school students in locally relevant STEM research. It focuses on creating educational experiences that are acti...

The transition to the new generation power grid, or “smart grid”, requires novel ways of using and analyzing data collected from the grid infrastructure. Fundamental functionalities like demand response (DR), that the smart grid needs, rely heavily on the ability of the energy providers and distributors to forecast the load behavior of appliances under different DR strategies. This paper presen...

This paper presents a completely data-driven and machine-learning-based approach, in two stages, to first characterize and then forecast hourly water demand in the short term with applications of two different data sources: urban water demand (SCADA data) and individual customer water consumption (AMR data). In the first case, reliable forecasting can be used to optimize operations, particularl...

Inspired by the marine mussel adhesive protein, smart, magnetically controllable, oil adsorption nanofibrous materials were successfully fabricated in this research. Taking advantage of the properties of dopamine whose molecular structure mimics the single unit of the marine mussel adhesive protein and can be polymerized in alkaline solution forming a "glue" layer on many kinds of material surf...

Purpose: Worldwide water scarcity is one of the major problems to deal with. Smart Cities also faces this challenging problem due its ever-increasing population and limited sources natural water. Additionally, careless usage large wastage has made issues as a serious concern. Today are using advanced technical solutions with various problems, shortage uses Water Management System, an intelligen...