N-grams are a building block in natural language processing and information retrieval. It is a sequence of a string data like contiguous words or other tokens in text documents. In this work, we study how N-gram can b...
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N-grams are a building block in natural language processing and information retrieval. It is a sequence of a string data like contiguous words or other tokens in text documents. In this work, we study how N-gram can be computed efficiently using a MapReduce for distributed data processing and a distributed database named Hbase This technique is applied to construct the training and testing processes using Hadoop MapReduce framework and Hbase. We proposed to focus on the time cost and storage size of the model and exploring different structures of Hbase table. By constructing and comparing a different table structures on training 100 million words for unigram, bigram and trigram models we suggest a table based on half ngram structure is a more suitable choice for distributed language model. The results of this work can be applied in the cloud computing and other large scale distributed language processing areas.
To verify and evaluate the performance of a space robot controller,kinematics and dynamics of the system have to be formed beforehand for computer *** paper is devoted to develop a new kinematic notation for space rob...
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ISBN:
(纸本)9781479947249
To verify and evaluate the performance of a space robot controller,kinematics and dynamics of the system have to be formed beforehand for computer *** paper is devoted to develop a new kinematic notation for space robots and to come up with an open source of Matlab subroutines for the propose of obtaining the proper dynamics equations of space robots in symbolic forms *** the new kinematic notation,we will present the general form and two special *** is then demonstrated through an example the advantages such as flexible assignment of frames on space robots,being able to describe multi-DOF joint and achieve a consistent description for multi-arm space *** the second part,we adopt the Lagrangian Formulation for forming the procedures to automatically generate the dynamics equations of space robots in symbolic *** example is then provided to demonstrate the effectiveness of closed-loop simulation adopting the obtained symbolic equations.
The paper considers nonlinear nD discrete and continuous systems described by a state-space model of the Roesser form where the property of exponential stability is characterized by use of a vector Lyapunov function. ...
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ISBN:
(纸本)9781479978878
The paper considers nonlinear nD discrete and continuous systems described by a state-space model of the Roesser form where the property of exponential stability is characterized by use of a vector Lyapunov function. The property of exponential dissipativity is defined and a particular case of this property, termed exponential passivity, is used, together with a vector storage function, to develop a new method for output based control law design. An example of a system with nonlinear actuator dynamics is given to demonstrate the application effectiveness of the new results.
This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariance...
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The paper considers nonlinear discrete and differential stochastic repetitive processes using the state-space model setting. These processes are a particular case of 2D systems that have their origins in the modeling ...
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ISBN:
(纸本)9781479978878
The paper considers nonlinear discrete and differential stochastic repetitive processes using the state-space model setting. These processes are a particular case of 2D systems that have their origins in the modeling of physical processes. Using a vector Lyapunov function method sufficient conditions for stability in the mean square are obtained in the stochastic setting, where the vast majority of the currently known results are for deterministic dynamics. Based on these results the property of stochastic dissipativity in the second moment is introduced and then a particular case of this property, termed exponential passivity in the second moment, is used, together with a vector storage function, to develop a new method for output feedback based control law design. An example of a system with nonlinear actuator dynamics and state-dependent noise is given to demonstrate effectiveness of the new results.
Genome assembly is a prerequisite step for analyzing next generation sequencing data and also far from being solved. Many assembly tools have been proposed and used extensively. Majority of them aim to assemble sequen...
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Genome assembly is a prerequisite step for analyzing next generation sequencing data and also far from being solved. Many assembly tools have been proposed and used extensively. Majority of them aim to assemble sequencing reads into contigs; however, we focus on the assembly of contigs into scaffolds in this paper. This is called scaffolding, which estimates the relative order of the contigs as well as the size of the gaps between these contigs. Pheromone trail-based genetic algorithm (PGA) was previously proposed and had decent performance according to their paper. From our previous study, we found that family competition mechanism in genetic algorithm is able to further improve the results. Therefore, we propose family competition pheromone genetic algorithm (FCPGA) and demonstrate the improvement over PGA.
This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter(ATKF) is designed with two reduce-order filters ...
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ISBN:
(纸本)9781479947249
This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter(ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter(DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.
We have recently proposed a robustified ratio consensus algorithm which achieves asymptotic convergence to the global average in a distributed fashion in static strongly connected digraphs, despite the possible presen...
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ISBN:
(纸本)9781467360890
We have recently proposed a robustified ratio consensus algorithm which achieves asymptotic convergence to the global average in a distributed fashion in static strongly connected digraphs, despite the possible presence of bounded but otherwise arbitrary delays. In this work, we propose a protocol which reaches asymptotic convergence to the global average in a distributed fashion under possible changes in the underlying interconnection topology (e.g., due to component mobility), as well as time-varying delays that might affect transmissions at different times. More specifically, we extend our previous work to also account for the case where, in addition to arbitrary but bounded delays, we may have time varying communication links. The proposed protocol requires that each component has knowledge of the number of its outgoing links, perhaps with some bounded delay, and that the digraphs formed by the switching communication topologies over a finite time window are jointly strongly connected.
As a result of this reported research, a simulation model to analyse the behaviour of carbon nanotube field effect transistors (CNTFETs) under non-ballistic conditions is explained and the effect of gate dielectric on...
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This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration.
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