Rita M. T. Ascenso

Greenhouse with Sustainable Energy for IoT

In order to support the intensive development of agricultural crops and, in particular the floricultural inside a greenhouse, with the perspective of a quick distribution in the market, increasing the economic benefits and supported on efficient and intelligent management systems energy, it is mandatory to conceive a model based on Cyber-Physical Systems (CPS) This implies, accordingly, increases in renewable primary energy sources utilization coupled with sensing technologies, include developments on Internet of Things (IoT) and Cloud Computing (CC), supported with Information and Communication Technologies (ICT) that will lead to new architectural approach applied to a proposed energy system, based on a sustainable and more engineering autonomous process. This work comes up with a new energy model that retrofits the system of a greenhouse supported with multiple sensors in one grid, to expand into CPS concept to manage sensors and controllers that will improve a profitable energy system.

Anthropometrics and Ergonomics in Pregnant Women

Pregnancy is a women life event that impacts her own and offspring’s life; surprisingly, few systematic and scientific maternal information is available in the literature for anthropometric and ergonomic purposes. Regarding ergonomics, some authors state that guidelines should be design for pregnant women. These guidelines may consider anthropometric issues such as changes in weight and distribution of mass, which influence mobility, home and labour performance, mood and cognition. Anthropometrics allows the body measurement, but in pregnancy women are sparingly characterized, besides Body Mass Index and few other parameters. Ergonomics not only aids in the design process of work or home layouts, but also contains several evaluation tools to determine the level of risk of musculoskeletal disorders of daily or labour tasks. Some of these tools are very specific and others have certain conditions that should be met before using them. The purpose of this study is to present an overview of guidelines and discuss which anthropometric and ergonomic evaluation tools may be used, and under which conditions can be implemented in pregnant women.

Potential defaults of anthropometric assessment parameters during pregnancy

Pregnancy is one of the most common life events, surprisingly little systematic and scientific information is available in the literature when considering anthropometrics. Studies regarding the pregnant’s body size variation, namely for the design of clothes during gestation are quit common. But anthropometrics is a lot more, it is also a science that aids in characterizing the body morphology and composition of humans. There are standard data of anthropometric parameters for specific populations, however, it doesn’t seem to exist any specific values or data for pregnant women. Neither the indication to use the standard values is mentioned or stated. Therefore, the main objective of this study is to evaluate if the default data and the current anthropometric tools are appropriate to be used on pregnant women. In this study, we analysed and evaluated the morphologic characterization and the body composition of pregnant women using existing anthropometric restricted profile methods. The tools considered in this study were: Body Mass Index, Somatotype, Conicity Index, AbdominalHip Ratio and Waist-Height Ratio. Some tools do not demonstrate efficiency in the anthropometric evaluation such as Body Mass Index by placing the pregnant women within risk levels that do not correspond to reality. However, other methods are plausible to be used, such as Conicity, Index Abdominal-Hip and Waist-Height Ratios were the values obtained within the expected range. In conclusion, the existing anthropometric tools need further study when characterizing pregnant women. DOI: https:/doi.org/10.24243/JMEB/2.5.176 2018. Published by Rational Publication. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Research Article