Revista de Engenharia Civil e Ambiental

The construction industry is one of the most dangerous industries due to its unique nature. A number of researches studied the safety aspect and showed a high number of injuries and deaths at project sites. This research objective is that the sources of dangers at project sites including falling from height and knowing the methods and the worthiness of personal protection to minimize such incidents as well as improve the safety methods used. To gather information, the study used a questioner that was distributed to 70 Construction Company .The study concluded that the most targeted class exposed to fall accident in the site were the workers. Most of the results fall from height was death or injury and the Safety Awareness responsibility is the safety engineer. The most dangerous element of projects was the scaffolding and Factors related to Human and Psychological Climate. Such incidents the effect of fall accidents is project cost increase. The research recommend providing a safe environment and implementing a safety guideline with a presence of a safety engineer at project site.

The Brain-Computer Interfaces can successfully help the healthy and disabled users, in performing various activities in their day to day life. But still such high expectations are yet to be fulfilled by the existing BCI designs due to their restricted reliability and less understanding of the brain mechanisms used in it. Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information transfer rate and require lesser training time than BCI systems using other paradigms. This work aimed to directly address the above problems by optimizing the BCI designs based on Steady-State Visual Evoked Potential (SSVEP) brain responses. The main goal of this work was to optimize the frequency to be used by the users and further enhance the information transfer rates and the reliability of multi-command SSVEP-based BCI systems. The BCI system is designed to allow control of a virtual ball in 2D space with more than 97% of average accuracy with different users.