Informal communication is an essential resource in hospital work; it is used as a means to collaborate and coordinate the way in which work is performed, as well as to locate and gather the artifacts and human resources required for patient care. The need of physical proximity to establish and hold informal communications has motivated the development of tools that support remote informal interaction. However, this kind of technology has not been widely adopted in hospitals, where workers experience intense mobility. In this paper, we present the results of an observational study in a hospital aimed at understanding how local mobility changes the rules in the provision of support for informal communication, and how technology could improve this form of communication. We found that local mobility fosters opportunities for colocated communication; however, it faces some inconveniences related to the affordances of the physical environment. We address these issues through the design of SOLAR, a collaborative application that supports colocated interactions in hospital work through the implementation and integration of five services that form a ubicomp infrastructure. Additionally, we present a discussion about the perception of users related to the usefulness of this tool.
The optimization is essential in the engineering area and, in conjunction with use of meta-heuristics, has had a great impact in recent years; this is because of its great precision in search of optimal parameters for the solution of problems. In this work, the use of the Artificial Bee Colony Algorithm (ABC) is presented to optimize the values for the variables of a proportional integral controller (PI) to observe the behavior of the controller with the optimized Ti and Kp values. It is proposed using a robot built using the MINDSTORMS version EV3 kit. The objective of this work is to demonstrate the improvement and efficiency of the controllers in conjunction with optimization meta-heuristics. In the results section, we observe that the results improve considerably compared to traditional methods. In this work, the main contribution is the implementation of an optimization algorithm (ABC) applied to a controller (PI), and the results are tested to control the movement of a robot. There are many papers where the kit is used in various domains such as education as well as research for science and technology tasks and some real-world problems by engineering scholars, showing the acceptable result.
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