Both environment and human beings were menaced by the widespread application of radioactive uranium, high-performance and effective elimination of uranium from wastewater is of important meaning for development of env...
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In this paper, we focus on solving a distributed convex aggregative optimization problem in a network, where each agent has its own cost function which depends not only on its own decision variables but also on the ag...
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Scaled graphs offer a graphical tool for analysis of nonlinear feedback systems. Although recently substantial progress has been made in scaled graph analysis, at present their use in multivariable feedback systems is...
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The number of leaves at a given time is important to characterize plant growth and *** this work,we developed a high-throughput method to count the number of leaves by detecting leaf tips in RGB *** digital plant phen...
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The number of leaves at a given time is important to characterize plant growth and *** this work,we developed a high-throughput method to count the number of leaves by detecting leaf tips in RGB *** digital plant phenotyping platform was used to simulate a large and diverse dataset of RGB images and corresponding leaf tip labels of wheat plants at seedling stages(150,000 images with over 2 million labels).The realism of the images was then improved using domain adaptation methods before training deep learning *** results demonstrate the efficiency of the proposed method evaluated on a diverse test dataset,collecting measurements from 5 countries obtained under different environments,growth stages,and lighting conditions with different cameras(450 images with over 2,162 labels).Among the 6 combinations of deep learning models and domain adaptation techniques,the Faster-RCNN model with cycle-consistent generative adversarial network adaptation technique provided the best performance(R^(2)=0.94,root mean square error=8.7).Complementary studies show that it is essential to simulate images with sufficient realism(background,leaf texture,and lighting conditions)before applying domain adaptation ***,the spatial resolution should be better than 0.6 mm per pixel to identify leaf *** method is claimed to be self-supervised since no manual labeling is required for model *** self-supervised phenotyping approach developed here offers great potential for addressing a wide range of plant phenotyping *** trained networks are available at https://***/YinglunLi/Wheat-leaf-tip-detection.
In this paper a combination of distributed parameter systems and lumped parameter systems is investigated, also known as interconnected system. In particular, the heat distribution and the influence of single chips on...
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In this paper a combination of distributed parameter systems and lumped parameter systems is investigated, also known as interconnected system. In particular, the heat distribution and the influence of single chips on a base plate is of interest, here in context of insulated-gate bipolar transistors. Only temperature measurements on the base plate are available. A method is presented with which the temperature inside the chip can be estimated. A combination of model reduction and unknown input observer is utilized.
This paper deals with modeling and fitting for epedimic models and their applications to the field of plants disease. For this purpose, two models are proposed that are expressed as a blend of two functions which refl...
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Safety and cost are two important concerns for the development of autonomous driving technologies. From the academic research to commercial applications of autonomous driving vehicles, sufficient simulation and real w...
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We consider a linear control system, where the sensors communicate to the controller via a wireless network in which the probability of successful data transmissions is an increasing function of the selected radio sig...
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The paper describes the interaction between Tallinn University of Technology (TalTech, Tallinn, Estonia) and ITMO University (St. Petersburg, Russia) based on recently signed agreement. The purpose of the agreement is...
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Recently, there has been a surge of research on a class of methods called feedback optimization. These are methods to steer the state of a control system to an equilibrium that arises as the solution of an optimizatio...
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