In many cases, autonomous robot are required to make decisions repeatedly to select the best action plan among a set of alternatives just according to their indexes of gam and cost. A general robot controller model fo...
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ISBN:
(纸本)1889335193
In many cases, autonomous robot are required to make decisions repeatedly to select the best action plan among a set of alternatives just according to their indexes of gam and cost. A general robot controller model for such task is outlined. It is found that multi-dimensional monotone functions are sufficient for the comprehensive evaluation of plans. A new Evolutionary Decision Making (EDM) approach, based on evolutionary function approximation by Genetic Algorithms, is proposed to learn the core of such decision making strategy. An application instance on virtual exploring robot controller design is given, which validate the effectiveness of the proposed approach.
Standard crossover in genetic programming (GP) selects two parents independently, based on fitness, and swaps randomly chosen portions of genetic material (subtrees). The mechanism by which the crossover operator achi...
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Multiresolution representation of quadrilateral surface approximation (MRQSA) is a useful representation for progressive graphics transmission in networks. Based on two requirements: (1) minimum mean square error and ...
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It is widely accepted that use of an Application Specific Instruction Set Processor (ASIP) in an embedded system can provide a solution which is much more flexible than ASICs and much more efficient than standard proc...
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It is widely accepted that use of an Application Specific Instruction Set Processor (ASIP) in an embedded system can provide a solution which is much more flexible than ASICs and much more efficient than standard processors in terms of performance and power consumption. However a lack of an acceptable design methodology and supporting tools for ASIPs limits their use even today. We present in this paper a methodology for design space exploration of high performance VLIW ASIPs by modeling Application Specific Functional Units in Trimaran Compiler Infrastructure. To demonstrate the effectiveness of our strategy we consider two important applications FFT and Kalman Filter and perform compute intensive operations in these applications via special Functional Units. The results we obtain are very promising with up to 2× speed improvement.
SOAP (simple object access protocol) is a protocol that allows the access to remote objects independently of the computerarchitecture and the language. A client using SOAP can send or receive objects, or access remot...
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This paper analyses the application of multistage classifiers based on the k-NN rule to the automatic classification of handwritten digits. The discriminating capacity of a k-NN classifier increases as the size and di...
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ISBN:
(纸本)0769516920
This paper analyses the application of multistage classifiers based on the k-NN rule to the automatic classification of handwritten digits. The discriminating capacity of a k-NN classifier increases as the size and dimensionality of the reference pattern set (RPS) increases. This supposes a problem for k-NN classifiers in real applications: the high computational cost required. In order to accelerate the process of calculating the distance to each pattern of the RPS, some authors propose the use of condensing techniques. These methods try to reduce the size of the RPS without losing classification power. Our alternative proposal is based on hierarchical classifiers with rejection techniques and incremental learning that reduce the computational cost of the classifier. We have used 270,000 digits (160,000 digits for training and 110, 000 for the test) of the NIST Special Data Bases 19 and 3 (SD19 and SD3) as experimental data sets. The best non -hierarchical classifier achieves a hit rate of 99.50%. The hierarchical classifier achieves the same hit ratio, but with 24.5 times lower computational cost than best non-hierarchical classifier found in our experimentation and 6 times lower than Hart's Algorithm.
In many cases, autonomous robot are required to make decisions repeatedly to select the best action plan among a set of alternatives just according to their indexes of gain and cost. A general robot controller model f...
详细信息
In many cases, autonomous robot are required to make decisions repeatedly to select the best action plan among a set of alternatives just according to their indexes of gain and cost. A general robot controller model for such task is outlined. It is found that multi-dimensional monotone functions are sufficient for the comprehensive evaluation of plans. A new Evolutionary Decision Making (EDM) approach, based on evolutionary function approximation by Genetic Algorithms, is proposed to learn the core of such decision making strategy. An application instance on virtual exploring robot controller design is given, which validate the effectiveness of the proposed approach.
This paper describes an algorithm of PID-parameter tuning with correlation-coefficient identification, which is applied in the auto-tuner of PID-parameters based on an embedded MCU. We have optimized the algorithm acc...
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This paper describes an algorithm of PID-parameter tuning with correlation-coefficient identification, which is applied in the auto-tuner of PID-parameters based on an embedded MCU. We have optimized the algorithm according to the features of the MCU.
Maintenance and evolution of complex software systems (such as large telecom embedded devices) involve activities such as reverse engineering (RE) and software visualization. Although several RE tools exist, we found ...
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Maintenance and evolution of complex software systems (such as large telecom embedded devices) involve activities such as reverse engineering (RE) and software visualization. Although several RE tools exist, we found their architecture hard to adapt to the domain specific requirements posed by our current practice in Nokia. We present an open architecture which allows easy prototyping of RE data exploration and visualization scenarios for a large range of domain models. We pay special attention to the visual and interactive requirements of the reverse engineering process. The article describes the basic architecture of our toolkit, compares it to the existing RE environments and present several visualizations taken from real cases.
We describe methods used and some results in a study of schizophrenia in a population of affected and unaffected participants, called patients and controls. The subjects are characterized by diagnosis, genotype, brain...
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