In this study, a smartphone-based contact angle measurement instrument was developed. Compared with the traditional measurement instruments, this instrument has the advantage of simplicity, compact size, and portability. An automatic contact point detection algorithm was developed to allow the instrument to correctly detect the drop contact points. Two different contact angle calculation methods, Young-Laplace and polynomial fitting methods, were implemented in this instrument. The performance of this instrument was tested first with ideal synthetic drop profiles. It was shown that the accuracy of the new system with ideal synthetic drop profiles can reach 0.01% with both Young-Laplace and polynomial fitting methods. Conducting experiments to measure both static and dynamic (advancing and receding) contact angles with the developed instrument, we found that the smartphone-based instrument can provide accurate and practical measurement results as the traditional commercial instruments. The successful demonstration of use of a smartphone (mobile phone) to conduct contact angle measurement is a significant advancement in the field as it breaks the dominate mold of use of a computer and a bench bound setup for such systems since their appearance in 1980s.
The Internet of Things (IoT) enables the communication among smart objects promoting the pervasive presence around us of a variety of things or objects that are able to interact and cooperate jointly to reach common goals. IoT objects can obtain data from their context, such as the home, office, industry or body. These data can be combined to obtain new and more complex information applying data fusion processes. However, to apply data fusion algorithms in IoT environments, the full system must deal with distributed nodes, decentralized communication and support scalability and nodes dynamicity, among others restrictions. In this paper, a novel method to manage data acquisition and fusion based on a distributed service composition model is presented, improving the data treatment in IoT pervasive environments.
Abstract-Currently, virtual/remotes laboratories are often being built to improve learning and researching capabilities in some areas of knowledge. Generally these virtual/remotes laboratories are built from scratch again and again, instead of reusing software and hardware infrastructures. This paper presents a new framework, RVLab, to help developers building flexible and robust server-side virtual and remotes laboratories quickly. RVLab affords support for the basic requirements of these systems such as the user management or the resources (instruments and devices) reservation. Unlike other lab systems, RVLab is adapted to devices and instruments of any real laboratory due to a secure and robust mechanism that allows the remote execution of lab programs. Moreover, it improves the user interaction with real labs, providing a real-time visualization of experiments and lab instruments by means of the control of video camera placed into lab, and the transmission of video streaming with different quality to users.
Nowadays most of people have smartphones which can run complex application. Some kinds of experiments need several hours to finish. Using recent mobiles capabilities, anyone can monitor instruments and equipment efficiently from anywhere. Hence, alert services can prevent users from any incidence on supervised instruments and experiments. In this paper a new monitoring mechanism is proposed for the supervision of an experiment by improving the reception of messages in any case using mobile devices. Finally, a practice case of the implemented mechanism is presented for Android mobiles.
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