This paper presents a shunt active power filter based on the concept of open-end winding (OEW) transformers. The proposed configuration is constituted of two converters with three legs each series connected throughout...
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ISBN:
(纸本)9781479903375
This paper presents a shunt active power filter based on the concept of open-end winding (OEW) transformers. The proposed configuration is constituted of two converters with three legs each series connected throughout a three-phase OEW transformer. Model PWM strategy and control scheme are presented as well. The main advantage of the proposed system lies on the multi-level waveform generation, which allows reduction of either harmonic distortions or switching losses. This proposed topology is suitable for medium voltage (MV) distribution systems. Simulation and experimental results validate the theoretical study.
Educational robotics classes consist of the use of robots in classes that involve interdisciplinary or social themes, creating innovative learning environments involving the use of such technology. In the usually know...
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ISBN:
(纸本)9781479934775
Educational robotics classes consist of the use of robots in classes that involve interdisciplinary or social themes, creating innovative learning environments involving the use of such technology. In the usually known approach, educational robotics uses robotics kits. We developed a robotic simulator, called S-Educ, which can be used as an alternative or in association with robotics kits in classes involving the use of robotics. Simulators are not replacements of robotics kits, but an alternative for cases where the kits can not be used or they are not appropriate. Tests were carried out to analyze the use of the simulator, obtaining good results on the application of this simulator in educational robotics classes.
This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons th...
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This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons that offers an effective solution to modeling non-linear systems. As such, we propose the use of GMDH to approximate the forward and inverse dynamic behaviors of MR dampers. We also introduce two enhanced GMDH-based solutions. Firstly, a two-tier architecture is proposed whereby an enhanced GMD model is generated by the aid of a feedback scheme. Secondly, stepwise regression is used as a feature selection method prior to GMDH modeling. The proposed enhancements to GMDH are found to offer improved prediction results in terms of reducing the root-mean-squared error by around 40%.
In order to operate a public transportation system, it is necessary to plan the grounded fleet lines among the various origin/destination spread all over the city to better attend population displacement during the da...
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In order to operate a public transportation system, it is necessary to plan the grounded fleet lines among the various origin/destination spread all over the city to better attend population displacement during the day, which uses the bus transportation system. To improve planning operation of the public transportation system, it is proposed a linear programming model to optimize the overall performance of transit systems, by setting the optimum buses fleet for every bus line of each company constrained to an accepted delay between any two bus stop on the bus circuit but with a minimum profit for the companies. As the routes are different for time to time during the day such as rush hour. The proposed model can cope with all the kinds of patterns during the day and the propose is to optimise the whole transportation system. It is discussed also the complexity of the nature of the dynamic of the transportation system. The mathematical modelling can show us correctly a way to qualify and quantify the routes, what helps to understand the dynamic behavior of the population through time, different situations and epochs. Simulations present the viability of implantation for real time system to estimate the transportation system as it changes.
Multi-hole defect (MHD) photonic crystal cavities functionalized with in situ synthesized DNA bioreceptors are demonstrated for biosensing applications. By significantly increasing light interaction with target biomol...
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For an automatic chromosome classification, band resolution information is required in order to perform diagnosis on numerical and structural abnormalities. Metaphases with low band resolution are normal used for nume...
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For an automatic chromosome classification, band resolution information is required in order to perform diagnosis on numerical and structural abnormalities. Metaphases with low band resolution are normal used for numerical abnormality analysis while metaphases with high band resolution are used for structural abnormality analysis. In our work, we classify metaphases into low and high band resolution groups using chromosome shape. This band classification task can automatically perform without human intervention leading to faster the diagnosis process. The results showed that chromosome shape information is able to classify metaphases into low and high band resolution groups with the accuracy of 73.08% and 95.24%, respectively.
The amount of data generated in different knowledge areas has made it necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most imp...
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ISBN:
(纸本)9781479904532
The amount of data generated in different knowledge areas has made it necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most important tasks in data mining and can be defined as the process of partitioning objects into groups or clusters, such that objects in the same group are more similar to one another than to objects belonging to other groups. In this context, this paper aims to propose an adaptation of a bee-inspired optimization algorithm so that it is able to solve data clustering problems. The algorithm was run for different datasets and the results obtained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically determined.
We created an online development environment, specifically for educational robotics applications, in which it is possible to register programming languages associated with different robotic platforms, so that the user...
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We created an online development environment, specifically for educational robotics applications, in which it is possible to register programming languages associated with different robotic platforms, so that the user program a robot using the registered language or the language R-Educ, developed for teaching programming. To validate the platform, we conducted a series of tests divided into six steps to verify that the complete cycle was satisfied - registering a language, program in R-Educ, compile to the registered language, compile to machine code and send the code for the robot.
In this paper we describe an extension to the MATLAB Phased Array Toolkit that adds a configurable clutter object to model clutter signals returned along a specified signal path. The clutter model is based on the Simk...
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We report on a nearly 8-fold increase in multi-hole defect photonic crystal biosensor response by incorporating insitu synthesis of DNA probes, as compared to the conventional functionalization method employing pre-sy...
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We report on a nearly 8-fold increase in multi-hole defect photonic crystal biosensor response by incorporating insitu synthesis of DNA probes, as compared to the conventional functionalization method employing pre-synthesized DNA probe immobilization.
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