A few distinct cortical operations have been postulated over the past few years, suggested by experimental data on nonlinear neural response across different areas in the cortex. Among these, the energy model proposes...
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A few distinct cortical operations have been postulated over the past few years, suggested by experimental data on nonlinear neural response across different areas in the cortex. Among these, the energy model proposes the summation of quadrature pairs following a squaring nonlinearity in order to explain phase invariance of complex VI cells. The divisive normalization model assumes a gain-controlling, divisive inhibition to explain sigmoid-like response profiles within a pool of neurons. A gaussian-like operation hypothesizes a bell-shaped response tuned to a specific, optimal pattern of activation of the presynaptic inputs. A max-like operation assumes the selection and transmission of the most active response among a set of neural inputs. We propose that these distinct neural operations can be computed by the same canonical circuitry, involving divisive normalization and polynomial nonlinearities, for different parameter values within the circuit. Hence, this canonical circuit may provide a unifying framework for several circuit models, such as the divisive normalization and the energy models. As a case in point, we consider a feedforward hierarchical model of the ventral pathway of the primate visual cortex, which is built on a combination of the gaussian-like and max-like operations. We show that when the two operations are approximated by the circuit proposed here, the model is capable of generating selective and invariant neural responses and performing object recognition, in good agreement with neurophysiological data.
Background: PSAIA (Protein Structure and Interaction Analyzer) was developed to compute geometric parameters for large sets of protein structures in order to predict and investigate protein-protein interaction sites. ...
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Background: PSAIA (Protein Structure and Interaction Analyzer) was developed to compute geometric parameters for large sets of protein structures in order to predict and investigate protein-protein interaction sites. Results: In addition to most relevant established algorithms, PSAIA offers a new method PIADA (Protein Interaction Atom Distance Algorithm) for the determination of residue interaction pairs. We found that PIADA produced more satisfactory results than comparable algorithms implemented in PSAIA. Particular advantages of PSAIA include its capacity to combine different methods to detect the locations and types of interactions between residues and its ability, without any further automation steps, to handle large numbers of protein structures and complexes. Generally, the integration of a variety of methods enables PSAIA to offer easier automation of analysis and greater reliability of results. PSAIA can be used either via a graphical user interface or from the command-line. Results are generated in either tabular or XML format. Conclusion: In a straightforward fashion and for large sets of protein structures, PSAIA enables the calculation of protein geometric parameters and the determination of location and type for protein-protein interaction sites. XML formatted output enables easy conversion of results to various formats suitable for statistic analysis. Results from smaller data sets demonstrated the influence of geometry on protein interaction sites. Comprehensive analysis of properties of large data sets lead to new information useful in the prediction of protein-protein interaction sites.
This book constitutes the joint refereed proceedings of the 11th International Workshop on Approximation algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomiza...
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ISBN:
(数字)9783540853633
ISBN:
(纸本)9783540853626
This book constitutes the joint refereed proceedings of the 11th International Workshop on Approximation algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomization and Computation, RANDOM 2008, held in Boston, MA, USA, in August 2008. The 20 revised full papers of the APPROX 2008 workshop were carefully reviewed and selected from 42 submissions and focus on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM 2008 is concerned with applications of randomness to computational and combinatorial problems and accounts for 27 revised full papers, also diligently reviewed and selected out of 52 workshop submissions.
A force control device with high power and high resolution is developed. It consists of a spring and a small force actuator which are connected in parallel between the base plate and the output plate. By installing th...
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ISBN:
(纸本)9781424420575
A force control device with high power and high resolution is developed. It consists of a spring and a small force actuator which are connected in parallel between the base plate and the output plate. By installing this device into a tip of a high power industrial robot, large forces with high resolution can be achieved under the existence of static friction. In this paper, the principle of force control device is verified by using a simple two d.o.f. experimental setup. From experimental results, the effectiveness of the developed control device and its control algorithm is verified.
This paper proposes a control algorithm for a robotic swarm based on the center of gravity of the local swarm. In order to be compatible with maintaining a high stability of the whole swarm and advancing to the goal, ...
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ISBN:
(纸本)9784907764302
This paper proposes a control algorithm for a robotic swarm based on the center of gravity of the local swarm. In order to be compatible with maintaining a high stability of the whole swarm and advancing to the goal, virtual forces; local forces and an advancing force which are produced by the algorithm, are applied to multiple autonomous mobile robots. Local forces such as an attraction and a repulsion, are applied to each robot for increasing the stability of the local swarm. Overlapping each local swarm partially increases the stability of the whole swarm. The advancing force is applied to each robot for advancing to the goal while maintaining the stability of the local swarm. Since obstacles which prevent the robot advancing are considered as a disturbance from the viewpoint of the stability of the whole swarm, an effectiveness of the algorithm in obstacle space is evaluated using a dynamics simulation. As a result, it is found that the algorithm is able to maintain the high stability of the whole swarm advancing to the goal.
A new approach for formation flight control of multiple aircraft is presented. Constraint forces are used to derive the dynamics of a constrained, multi-body system. A stable, distributed control algorithm is designed...
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ISBN:
(纸本)9781424420780
A new approach for formation flight control of multiple aircraft is presented. Constraint forces are used to derive the dynamics of a constrained, multi-body system. A stable, distributed control algorithm is designed based on the information flow graph for a group of aircraft. The aircraft will achieve a particular formation while ensuring accurate navigation of the entire group. It is assumed that uncertainty exists in the drag coefficient of each aircraft. An adaptation algorithm is developed to compensate for the uncertainty and estimate the drag coefficient. The advantage of the proposed distributed control algorithm is that it allows the addition/removal of other aircraft into/from the formation seamlessly with simple modifications of the control input. Furthermore, the algorithm provides inherent scalability. Simulations were conducted to verify the proposed approach.
This paper shows the advantages of having a modular system with 3-DoF spherical actuator in the base module to perform tasks that require displacement and object manipulation. Having 3-DoF actuator improves the comple...
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ISBN:
(纸本)9781424420575
This paper shows the advantages of having a modular system with 3-DoF spherical actuator in the base module to perform tasks that require displacement and object manipulation. Having 3-DoF actuator improves the complexity of coordination patterns and control algorithms of the modular system more relevantly as compared to having only 1 or 2DoF actuator in the module. Nevertheless, modules with actuators of only 1 or 2DoF require more modules to be assembled together in order to achieve complex tasks. Experiments performed with RobMAT modular system proves that a 3DoF actuator in the module is better, because tasks such as displacement, obstacle climbing and object manipulation, can be efficiently carried out with systems of 2 modules, 4 modules and 6 (maximum) modules connected together.
An increasing number of distributed generation units (DG units) are connected to the distribution network. These generators affect the operation and coordination of the distribution network protection. The influence f...
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An increasing number of distributed generation units (DG units) are connected to the distribution network. These generators affect the operation and coordination of the distribution network protection. The influence from DG units that are coupled to the network with a power electronic converter (PEC) is different from that of conventional DG units with an electrical machine directly coupled to the network. This contribution shows that PEC-based DG units can be controlled in such a way that the negative influence on the distribution network protection is limited. A decision tree and a flow-chart are presented that show how a PEC-based DG should respond to network faults. The flow-chart can be used in real time to bring the proper control algorithm in operation during a fault.
In this paper, we propose a new car transportation system referred to as iCART(intelligent cooperative autonomous robot transporters). This system consists of two robots for the car transportation. Each robot is contr...
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ISBN:
(纸本)9781424420575
In this paper, we propose a new car transportation system referred to as iCART(intelligent cooperative autonomous robot transporters). This system consists of two robots for the car transportation. Each robot is controlled by using a decentralized control algorithm for transporting the car in coordination. A trajectory for transporting the car is given to one of robots, and another robot estimates the trajectory through the interaction force between two robots. This car transportation system could transport any size of cars, and is available for any kinds of car transportation tasks such as parking, ballet parking, tow away service, and the transportation of cars at a factory, ferry, parking area, etc. The proposed car transportation system are developed and the control algorithm is experimentally applied to them. The experimental results illustrate the validity of the proposed system.
The goal of this paper is to present a novel configuration for a three-rotor mini Unmanned Aerial Vehicle (UAV). The proposed design incorporates advantageous structural features which enhance the maneuverability of t...
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ISBN:
(纸本)9781424420780
The goal of this paper is to present a novel configuration for a three-rotor mini Unmanned Aerial Vehicle (UAV). The proposed design incorporates advantageous structural features which enhance the maneuverability of the rotorcraft. The detailed mathematical model of the vehicle's attitude is obtained through the Newton-Euler formulation. In terms of control, we propose a control law which is robust with respect to dynamical couplings and adverse torques. The vehicle tilts simultaneously the three rotors to stabilize the yaw dynamics. The resulting control algorithm is simple for embedded purposes. A customized low-cost embedded system was developed to test an autonomous stabilized-attitude flight, obtaining satisfactory results.
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