ResiDI: An Intelligent Decision Platform for Residential Infrastructure Using Wireless Sensors and Actuators

Author(s):  
Geraldo P. R. Filho ◽  
Jo Ueyama ◽  
Bruno S. Faical ◽  
Daniel L. Guidoni ◽  
Leandro A. Villas
Author(s):  
Marzieh Khakifirooz ◽  
Mahdi Fathi ◽  
Yiannis Ampatzidis ◽  
Panos M. Pardalos

Ambient Intelligence (AmI) is built using sensors and actuators connected through real-time networks for smart systems. The data and signals captured from sensors are ambiguous for both human and machine. Artificial Intelligence (AI) is merged into an ambient environment to translate data and signals into a language understandable by human users and to transform an operational setting from machine-centered to human-centered. However, the implementation of AI technology into an ambient environment requires quantitative modeling approaches to emphasize system requirements. This article aims to give a clear snapshot of the design and structure of advanced AmI technology for an AmI-based decision support system (Am-IDSS). The proposed approach explores the basic principles of an Am-IDSS structure concerning the role of the Internet, data, Industrial robotics, and other AI technologies for smart manufacturing. To supplement this research, the study is concluded by proposing managerial suggestions for systems development and observations about future trends in implementing Am-IDSS.


2021 ◽  
Vol 13 (24) ◽  
pp. 13655
Author(s):  
Kaylee Marie Meyers ◽  
Keat Ghee Ong

Advances in cell and tissue therapies are slow to be implemented in the clinic due to the limited standardization of safety and quality control techniques. Current approaches for monitoring cell and tissue manufacturing processes are time and labor intensive, costly, and lack commercial scalability. One method to improving in vitro manufacturing processes includes utilizing the coupled magnetic and mechanical properties of magnetoelastic (ME) materials as passive and wireless sensors and actuators. Specifically, ME materials can be used in quantifying cell adhesion, detecting contamination, measuring biomarkers, providing biomechanical stimulus, and enabling cell detachment in bioreactors. This review outlines critical design considerations for ME systems and summarizes recent developments in utilizing ME materials for sensing and actuation in cell and tissue engineering.


2019 ◽  
Vol 8 (4) ◽  
pp. 7848-7854

This paper is dedicated on economical and safe accomplishment of lightweight cruciform scientific discipline primordial for reserve guarded devices like wireless sensors and actuators that are usually organize in distant locality. During this setting, scientific discipline algorithms should consume few machine resources and face up to an oversized sort of attacks, as well as side channel attacks. The foremost part of this paper cares with economical software package implementations of lightweight cruciform algorithms on eight, 16, and 32 bit microcontrollers. a primary contribution of this half is that the development of FELICS, benchmarking framework that facilitates the extraction of comparative performance Tables from implementations of lightweight ciphers. mistreatment FELICS, we tend to conducted a good analysis of the implementation properties of five light weight block ciphers within the context of completely different usage situations, that are representatives for common security services within the web of Things (IoT). This study provides new insights into the link between the structure of a scientific discipline formula and therefore the performance it are able to do on embedded microcontrollers. The contributions of this half are considerably valuable for designers of mildweight ciphers, software bundle and protection engineers, moreover as standardization businesses.


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