The information available to robots in real tasks is widely distributed both in time and space, requiring the agent to search for relevant information. In this work, we implement a solution that uses qualitative and q...
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This paper describes the use of UML to aid developing real time on-board software for satellites, as a safety-critical system. In order to expedite development, an Integrated-computer Aided Software Engineering-Enviro...
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In order to design a robust electrostatic discharge (ESD) protected microwave monolithic integrated circuits (MMICs) in GaAs HBTs, a comprehensive assessment of device vulnerability to ESD events is presented. The res...
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In this article proposal for solving the Discrete-Time Algebraic Riccati Equation (DARE) using a multilayer Recurrent Neural Network (RNN) approach is presented. Systems of coupled matricial nonlinear differential equ...
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The information available to robots in real tasks is widely distributed both in time and space, requiring the agent to search for relevant information. In this paper, we implement a solution that uses qualitative and ...
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The information available to robots in real tasks is widely distributed both in time and space, requiring the agent to search for relevant information. In this paper, we implement a solution that uses qualitative and quantitative knowledge to turn robot tasks able to be treated by reinforcement learning (RL) algorithms. The steps of this procedure include: 1) to decompose the overall task into smaller ones, using abstraction and macro-operators, thus achieving a discrete action space; 2) to use observation functions of the environment - here called features - to achieve both time and state space discretisation; 3) to use quantitative knowledge to design controllers that are able to solve the subtasks; 4) to learn the coordination of these behaviours using RL, more specifically Q-learning. The approach was verified on an increasingly complex set of robot tasks using a Khepera robot simulator. Two approaches for space discretisation were used, one based on features and the other on states. The learned policies over these two models were compared to a predefined hand-crafted one. It was found that the learned policy over the state-based discretisation leads quickly to good results, although it can not be applied to complex tasks, where the state space representation becomes computationally unfeasible.
This paper uses a set of 3D geometric measures with the purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, these measures are analyzed with a tec...
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The purpose of the present work is to compare three classifiers: Fisher's Linear Discriminant Analysis, Multilayer Perception and Support Vector Machine to diagnosis of lung nodule. These algorithms are tested on ...
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This paper presents design considerations and implementation of InGaP/GaAs HBT DC-20 GHz distributed amplifier with compact ESD protection circuits. The inherit benefits of both bandwidth and ESD robustness of distrib...
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ISBN:
(纸本)1585370630
This paper presents design considerations and implementation of InGaP/GaAs HBT DC-20 GHz distributed amplifier with compact ESD protection circuits. The inherit benefits of both bandwidth and ESD robustness of distributed amplifiers are first compared to those of single-ended feedback amplifiers. Next, novel on-chip ESD protection circuits are introduced, featuring low capacitance loading for wide bandwidth, low leakage, and good linearity under high RF power. This paper discusses the principle of operation and performance of the ESD protection circuits, and the RF loading to the distributed amplifier. The RF performance and ESD robustness of the distributed amplifier are also discussed.
Multitechnique observations may considerably improve our understanding of factors responsible for the generation, growth, and dynamics of the destabilized nighttime equatorial F region plasma irregularities. In order ...
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Multitechnique observations may considerably improve our understanding of factors responsible for the generation, growth, and dynamics of the destabilized nighttime equatorial F region plasma irregularities. In order to investigate the dynamics of plasma density irregularities of different scale sizes, a campaign of observations was conducted during 11-20 November 2001 at the Brazilian magnetic equatorial station São Luís (2.57°S, 44.21°W, dip latitude 1.73°S). We carried out observations using VHF coherent backscatter radar, two spaced GPS-based scintillation monitors, and one digisonde. Range type spread F on ionograms and radar plume signatures on range-time-intensity maps of the VHF radar started at similar times. In order to compare GPS L1 (1.575 GHz) scintillations and radar plumes we used the scintillation S4 index computed for the signal transmitted by the highest elevation satellite. GPS scintillations were not observed during the initial bottom-type layer shown by the radar;however, stronger scintillations (higher S4 values) were observed concurrently to stronger radar echoes. Although the time duration of GPS scintillation is longer than the duration of the plumes observed by the radar, ionosonde spread F is still much longer than scintillation occurrence, confirming that smaller scale-size irregularities decay faster. Zonal and vertical velocities of 5-m irregularities measured by the radar were analyzed jointly with the apparent zonal velocity of ∼400-m irregularities measured by the spaced-receiver scintillation method. Larger values of the zonal velocity measured by the scintillation technique were found during the explosive growth phase of radar plumes associated with large values of vertical drifts measured by the radar.
Work on agent communication languages has since long striven to achieve adequate speech act semantics;partly, the problem is that references to an agent's architecture (in particular a BDI-like architecture) would...
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