In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero me...
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In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero mean imbalances;and, (2) Adaptive controller for non-zero mean intra-RTD imbalances using two-stage robust optimization. The result of applying these methods sequentially at the beginning of each RTD interval is the least-cost robust adaptation of RTD schedules in anticipation of the most likely non-zero mean imbalances. We illustrate how this proposed predictive adaptive intra-RTD dispatch can be implemented for a typical hour. Second, only hard-to-predict near-zero-mean imbalances are compensated using automatic Generation control (AGC). The basic conclusion is that a combination of predictive adaptive intra-RTD and recently proposed Enhanced-AGC (E-AGC) should be used for the least cost on-line balancing of non-zero mean and zero mean imbalances, respectively.
The aim of the present study is to investigate the neurophysiological basis of the cognitive functions underlying the execution of joint actions, by means of the recent technique called hyperscanning. Neuroelectrical ...
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ISBN:
(纸本)9781424479276
The aim of the present study is to investigate the neurophysiological basis of the cognitive functions underlying the execution of joint actions, by means of the recent technique called hyperscanning. Neuroelectrical hyperscanning is based on the simultaneous recording of brain activity from multiple subjects and includes the analysis of the functional relation between the brain activity of all the interacting individuals. We recorded simultaneous high density electroencephalography (hdEEG) from 16 pairs of subjects involved in a computerized joint action paradigm, with controlled levels of cooperation. Results of cortical connectivity analysis returned significant differences, in terms of inter-brain functional causal links, between the condition of cooperative joint action and a condition in which the subjects were told they were interacting with a PC, while actually interacting with another human subject. Such differences, described by selected brain connectivity indices, point toward an integration between the two subjects' brain activity in the cooperative condition, with respect to control conditions.
The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System (FMS) producing multi-type parts where for material handl...
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The dynamical and uncertain environments of domestic service robots, which includehumans, require rethinking of the benchmarking principles for testing these robots. Since 2006 RoboCup@Home has used statistical proced...
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Falling film evaporators and condensers have demonstrated a good performance in air-conditioning and refrigeration. A study of falling film evaporation and condensation models is presented in this document. Two differ...
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Falling film evaporators and condensers have demonstrated a good performance in air-conditioning and refrigeration. A study of falling film evaporation and condensation models is presented in this document. Two different evaporator models and a condenser model are being developed considering a trade-off between efficiency and accuracy. These models are based on classical Newton's viscosity law and Nusselt falling film theory. Two libraries, with evaporator and condenser components, compatible with Modelica. Fluid, Modelica. Thermal and Modelica. Media have been implemented. The presented simulations have the expected behaviour. These models will be used to complete a model of a heat pump.
This paper presents an algorithm to optimize the size of the components of a photovoltaic pumping installation, composed of photovoltaic panels and a battery bank. The decision is made on the basis of the measured Pho...
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ISBN:
(纸本)9781479914630
This paper presents an algorithm to optimize the size of the components of a photovoltaic pumping installation, composed of photovoltaic panels and a battery bank. The decision is made on the basis of the measured Photovoltaic Panel Generation, the required power for the load, the needed water quantity for the crops and the correct operation of the battery. The algorithm aims to ensure the system autonomy, minimize the unused energy and fulfill the water demand. Some tests of the algorithm are shown in order to demonstrate that the approach fulfills these objectives.
In this paper we deal with retrieving the spectral factor for an autocorrelation polynomial with only a few nonzero elements. The algorithm is based on the representation of polynomials using sparse bases. We search i...
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In this paper we deal with retrieving the spectral factor for an autocorrelation polynomial with only a few nonzero elements. The algorithm is based on the representation of polynomials using sparse bases. We search in a greedy way for a basis by removing elements from the basis of the autocorrelation polynomial and extracting the spectral factor, using a semidefinite program. The algorithm stops when no other solution can be obtained with a smaller basis. Our algorithm appears to be faster and can be more accurate than previous methods.
Present paper presents an application designed to help paramedics or other intervention personal to diagnose and monitor the state of victims in remote or difficult to access areas using Windows 8 tablet computers. Th...
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Present paper presents an application designed to help paramedics or other intervention personal to diagnose and monitor the state of victims in remote or difficult to access areas using Windows 8 tablet computers. The application is written in Visual C# and uses the latest programming technologies and security features. It will help measure the Glasgow Coma Scale, respiration, pulse, blood pressure of victims and pass on data to a remote centralized management system using wireless signals, such as wireless internet and Bluetooth.
Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the ...
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Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the low accessibility in the human brain. Therefore, the establishment of a correct diagnosis based on angiographies is of paramount importance. Enhanced visualization of blood vessels by separating veins and arteries from background can help, in many cases, in giving a more accurate diagnosis. In this article, three methods for arteries and veins classification and enhanced visualization are presented. From our study, it results that, using coefficients of wavelet transform as parameters for the classification, a better visual representation of small vessels is achieved.
This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information t...
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This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information technology students to some fundamental concepts, through the use of simulation, experiments on real robots and design of robotic creatures in virtual environments. Course objectives, methodological aspects and the main technical solutions are presented in detail. A survey has been proposed in order to evaluate the impact of this course, and parts of it are presented and commented.
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