Human-in-the-loop simulation based system for more effective allocation and training of experimenters' groups in stimulation of biotechnological processes

In the case of biotechnological processes, a proper conduction of experiments requires particular attention and skills. This is due to possibilities of causing irreversible damages to living microorganisms when making wrong decisions. In the considered case, two experimenters are enough to conduct a single experiment, but when taking into account the maintenance of process continuity (there is no possibility of stopping the process), then it is necessary to involve more experimenters working in sequentially changing groups. Due to the need to eliminate possible errors, the choice of experimental groups is crucial. In this paper, it is proposed to use human-in-the-loop simulation procedure for selection of experimental groups and for their training before making experiments on real process. For simulation purposes, the process simulator and the collection of processing data were used. This allowed to perform the human-in-the-loop simulations, and then, based on the obtained simulation results, to choose the experimental groups including social conditioning of experimenters

Advances in Computational Social Science and Social Simulation

Aquesta conferència és la celebració conjunta de la "10th Artificial Economics Conference AE", la "10th Conference of the European Social Simulation Association ESSA" i la "1st Simulating the Past to Understand Human History SPUHH".Conferència organitzada pel Laboratory for Socio­-Historical Dynamics Simulation (LSDS-­UAB) de la Universitat Autònoma de Barcelona.Readers will find results of recent research on computational social science and social simulation economics, management, sociology,and history written by leading experts in the field. SOCIAL SIMULATION (former ESSA) conferences constitute annual events which serve as an international platform for the exchange of ideas and discussion of cutting edge research in the field of social simulations, both from the theoretical as well as applied perspective, and the 2014 edition benefits from the cross-fertilization of three different research communities into one single event. The volume consists of 122 articles, corresponding to most of the contributions to the conferences, in three different formats: short abstracts (presentation of work-in-progress research), posters (presentation of models and results), and full papers (presentation of social simulation research including results and discussion). The compilation is completed with indexing lists to help finding articles by title, author and thematic content. We are convinced that this book will serve interested readers as a useful compendium which presents in a nutshell the most recent advances at the frontiers of computational social sciences and social simulation researc

Human-in-the-loop simulation based system for more effective allocation and training of experimenters' groups in stimulation of biotechnological processes

In the case of biotechnological processes, a proper conduction of experiments requires particular attention and skills. This is due to possibilities of causing irreversible damages to living microorganisms when making wrong decisions. In the considered case, two experimenters are enough to conduct a single experiment, but when taking into account the maintenance of process continuity (there is no possibility of stopping the process), then it is necessary to involve more experimenters working in sequentially changing groups. Due to the need to eliminate possible errors, the choice of experimental groups is crucial. In this paper, it is proposed to use human-in-the-loop simulation procedure for selection of experimental groups and for their training before making experiments on real process. For simulation purposes, the process simulator and the collection of processing data were used. This allowed to perform the human-in-the-loop simulations, and then, based on the obtained simulation results, to choose the experimental groups including social conditioning of experimenters

Experimental Testing of TCP/IP/Ethernet Communication for Automatic Control

Abstract. The TCP/IP/Ethernet protocol is considered not suitable for use in real-time control systems. It deals with a lack of time determinism, which characterizes fieldbuses. Nevertheless several corporations propose networking based on the TCP/IP/Ethernet even for control purposes with some modifications of the standard however. This paper examines possibility of application of the TCP/IP/Ethernet communication without modifications (introducing also Internet as one of tested cases) for feedback control purposes. Experimental investigations have been performed in four stages. In the beginning tests of network properties, including tests of transmission time and packet loss measurements have been performed. Three following stages show experimental testing of feedback control, when TCP/IP transmission occurs between PI controller and control plant. Three representative platforms have been chosen for testing: LabVIEW, RSLogix and Simatic. The main and original contribution presented in this paper is design and construction of three test stands as well as methodology of testing experiments. Standard control over analog channel has been also presented as comparison. The results of testing show acceptable performance of control via TCP/IP/Ethernet networking