Nowadays, we have to deal with a large quantity of unstructured, heterogeneous data, produced by an increasing number of sources. Clustering heterogeneous data is essential to getting structured information in respons...
详细信息
ISBN:
(纸本)9781424473359
Nowadays, we have to deal with a large quantity of unstructured, heterogeneous data, produced by an increasing number of sources. Clustering heterogeneous data is essential to getting structured information in response to user queries. In this paper, we assess the results of a new clustering technique - clustering by compression - when applied to metadata associated with heterogeneous sets of data. The clustering by compression procedure is based on a parameter-free, universal, similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pair-wise concatenation). Experimental results show that using metadata could improve the average clustering performances with about 20% over clustering the same sample data set without using metadata.
The problem of identification of linear quasi-periodically varying systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It is shown that accuracy of system pa...
详细信息
In this paper we consider the problem of noncausal identification of nonstationary, linear stochastic systems, i.e., identification based on prerecorded input/output data. We show how several competing weighted least ...
详细信息
This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obt...
详细信息
ISBN:
(纸本)1889335215
This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obtained dynamic model, an integrated predictive control algorithm is proposed to position precisely with either stationary or moving obstacle avoidance. This objective is achieved automatically by introducing distant constraints into the open-loop optimization of control inputs. Simulation results demonstrate the feasibility of such control strategy for the deduced dynamic model.
automatic guided vehicles are increasingly used in factories. It is obvious that wireless communication with this type of devices is necessary. By default, transmissions are not based on time-deterministic behavior. H...
详细信息
This paper tries to define mechanisms which insure the right functionality for systems based on the Volunteer Grid concept and propose a new framework for Volunteer Grid computing management. Volunteer Grid systems al...
详细信息
ISBN:
(纸本)9781424473359
This paper tries to define mechanisms which insure the right functionality for systems based on the Volunteer Grid concept and propose a new framework for Volunteer Grid computing management. Volunteer Grid systems allow setting up high performance computer networks, easily, rapidly and at low costs, the main characteristic of their nodes being the volunteer participation. Thus, a supercomputer is created, able to perform most complex calculations in a relatively short period of time. This volunteering itself is a weakness of the system, because not only physical faults must be taken into consideration, but also sabotages through which participants could try to increase their rating.
The optimization problems of nonlinear model predictive control are generally non-convex and their convergence to global optima can hardly be assured. In mis paper, interval analysis is applied to such non-convex opti...
详细信息
The current trend in processor's design is to add multiple cores to increase the system's overall performance but this is not a solution to increasing the performance of serial applications. Due to its potenti...
详细信息
ISBN:
(纸本)9781424473359
The current trend in processor's design is to add multiple cores to increase the system's overall performance but this is not a solution to increasing the performance of serial applications. Due to its potential to greatly accelerate a wide variety of serial applications, reconfigurable computing has become a subject of a great deal of research. Its key feature is the ability to perform computations in hardware in order to increase performance, while retaining much of the flexibility of a software solution. In this paper, we address the problem of fully automating the process of selecting the code to be used for hardware acceleration. We present a software-hardware partitioning system that transforms Impulse C source code into blocks of C and VHDL code. The resulting C code wiD be run on the CPU, while the VHDL code will be implemented on a reconfigurable hardware, e.g. a FPGA.
In this paper we present a new constraint-based design of visual predictive architectures. An analytical study over the properties of a local model based predictor and its open loop behavior is detailed. Constraint-ba...
详细信息
Analysis of NMR spectra is a multi-stage computational process performed with the use of appropriately chosen sequence of algorithms. Initial stages of this process, called pre-processing, including filtering, baselin...
详细信息
ISBN:
(纸本)9789897580697
Analysis of NMR spectra is a multi-stage computational process performed with the use of appropriately chosen sequence of algorithms. Initial stages of this process, called pre-processing, including filtering, baseline correction, phase correction and removal of unwanted components, are aimed at improving the quality of NMR spectral signal by rejection of noise, removing unnecessary spectral components and irregularities. After pre-processing the basic operations on NMR spectra are aimed at estimation of levels of certain metabolites by analysis of appropriate structural properties of NMR spectral signals. In this paper authors present design and implementation of two signals modelling methods. The first one is based on singular value decomposition of the induction decay signal. The second is done with use of mixture model constructed for frequency spectrum. Authors present all assumption that need to be satisfied and processing steps that must be performed before final analysis. The methods studied in the paper are implemented under the black-box assumption;i.e., prior knowledge of parameters of metabolites in the spectra is not used. As a second part of the project authors present a comparison of obtained result with popular modelling techniques and software LCmodel and Tarquin, based on experimental phantom dataset. Comparisons between different methods are based on the commonly used quality indexes, mean squared errors corresponding to levels of detected metabolites and specificities and sensitivities of the process of detection of metabolites. Using the presented comparisons we authors are able to characterize advantages and drawbacks of the studied approaches.
暂无评论