RF-BBFT: a random forest based multimedia big data routing technique for social opportunistic IoT networks

The circular economy (CE) is gaining attention globally, given its potential to contribute significantly toward sustainable development. The demands for cleaner and safer water amid rising waterborne diseases and stringent environmental regulations are driving the need for reverse osmosis (RO) membrane desalination processes. RO membrane desalination processes are associated with extensive material and energy use, with resulting waste generation, and have ever-growing ecological footprints. Extensive theoretical knowledge on CE and sustainability exists, although it lacks the practical bridge to implementation. In this article, a structured and practical framework is developed and applied to an RO membrane desalination system. Features of this framework allowed breaking the RO membrane desalination system into phases of design (DP), manufacturing (MP), use (UP), and end-of-life (EoLP) and assessing it against both the 3R and 9R ladder strategic frameworks. The resulting CE and sustainability importance trend in the order of DP &amp;gt; MP &amp;gt; UP &amp;gt; EoLP allows for setting the initial implementation starting point, phase(s), or stage(s) for prioritization and maximization to overcome some of the initial implementation challenges. This opens the door for continuous improvements and incremental progress to take on an entire circular or sustainability project in the long term. CE broken into implementation clusters of circular business models (CBM), resource efficiency strategies (RES), and regenerative sustainability practices (RSP), assessed against each of DP, MP, UP, and EoLP phases, offered valuable insights into myriads of opportunities associated with RO membrane desalination system CE implementation. The framework provides step-by-step guidance to bridge the gap between CE and sustainability theoretical knowledge and practical implementations for industrial adoption to reap the countless opportunities. 

pdf/circular-economy-ce-implementation-framework-development-and-pb2d8a4a8qv9.pdf

Circular economy (CE) implementation framework development and application to reverse osmosis (RO) membrane desalination systems

Cloud computing is a well-known technology used for central resource allocation, which also provides the chance to avail resources through the internet. Being resource sensitive, it is also vulnerable to issues that arise due to the huge amount of resources; this can influence the overall system and reduce the efficiency altogether. To handle problems like these, optimization techniques are used. With the increase in the unprecedented growth of data and intelligent systems all around the world, optimization has become a necessary step to be followed for making the technologies more efficient and for meeting the demands of the consumers. On the other hand, computational intelligence is gaining a lot of importance all around the world. It is the science that completely focuses on developing mechanisms that are adaptive and can process intelligent behaviors in the surrounding, which is high in complexity. Focusing on computational intelligence, there are already many optimization algorithms used while developing the systems, but still, there is the need to develop other optimization techniques where different technologies, like Internet of Things, fog or edge computing, and cloud computing, can be used. Combining the concepts of other established fields can help improve the quality of the solution to a major extent. The aim is to offer insights to the scholars and encourage them to explore new exploration directions in their respective fields. Usually, complications related to optimization problems exhibit compound possessions that may not always be addressed by outdated optimization techniques. Computational intelligence entailing nature-inspired tactics has had great prospective lately in tackling newer challenges that are seen in the modern world regarding optimization difficulties. 

Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things

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Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things