Our research aims to develop an intelligent control system for optimizing the operation of lighting systems in greenhouses with a high proportion of local renewable energy using adaptive control methods, artificial intelligence algorithms and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of local renewable energy production. Due to the level of complexity, in this paper, we have focused to integrate a climate controlled greenhouse and the solar energy system. In particular, their respective components were selected and integrated by means of a distributed control architecture. As a first approach, the estimation of the solar power production from the solar cell panels was done based on the solar irradiation registered by the solar irradiation sensor embedded in the outdoor climate sensor system from the greenhouse.
This research aims to develop an automatic unmanned aerial vehicle (UAV)-based indoor environmental monitoring system for the acquisition of data at a very fine scale to detect rapid changes in environmental features of plants growing in greenhouses. Due to the complexity of the proposed research, in this paper we proposed an off-board distributed control system based on visual input for a micro aerial vehicle (MAV) able to hover, navigate, and fly to a desired target location without considerably affecting the effective flight time. Based on the experimental results, the MAV was able to land on the desired location within a radius of about 10 cm from the center point of the landing pad, with a reduction in the effective flight time of about 28%.
Our research aims to develop an intelligent robot vehicle with multimodal locomotion capabilities for the forest monitoring purpose. Due to the complexity of the proposed research, in this paper, we proposed a visual-based control system; capable to detect fiducial markers and pose estimation even with limited capabilities and transmission losses, in order to hover, navigate and fly to the desired target location while remaining stable without adversely affecting the effective flight time due to additional sensors and computation. Based on the experimental results, the MAV was able to detect the fiducial markers with a success ratio of about 92.8% as well as to land on the desired location within a radius of about 10 cm from the center-point of the landing pad, with a reduction of the effective flight time of about 28%.
Energy storage system is important to use electricity effectively from PV solar cell system. One big problem is how to choose business model for setting of Energy storage system. For effective use of energy from PV solar cell and economical use, it is important to select appropriate parameter for setting and compare their cost. In this study, we aim to understand each setting for Energy storage system and calculate cost for each business model to optimize parameter setting. Three business model we tested in this study was Self consumption, Peak shaving and Peak shifting for 4 seasons. We built the simulator by Matlab and find the best parameter to reduce peak at highest mean hour for each month. From results of simulation and calculation, it is found that Peak shaving is best parameter for most seasons, but calculation method from another approach is needed for more detail discussion
Musical robotics is a multi- and trans-disciplinary research area involving a wide range of different domains that contribute to its development, including: computer science, multimodal interfaces and processing, artificial intelligence, electronics, robotics, mechatronics and more. A musical robot requires many different complex systems to work together; integrating musical representation, techniques, expressions, detailed analysis and controls, for both playing and listening. The development of interactive multimodal systems provides advancements which enable enhanced human-machine interaction and novel possibilities for embodied robotic platforms. This volume is focused on this highly exciting interdisciplinary field. This book consists of 14 chapters highlighting different aspects of musical activities and interactions, discussing cutting edge research related to interactive multimodal systems and their integration with robots to further enhance musical understanding, interpretation, performance, education and enjoyment. It is dichotomized into two sections: Section I focuses on understanding elements of musical performance and expression while Section II concentrates on musical robots and automated instruments. Musical Robots and Interactive Multimodal Systems provides an introduction and foundation for researchers, students and practitioners to key achievements and current research trends on interactive multimodal systems and musical robotics.