java 數據庫 功能強大 效率高
SmallSQL Database is a free DBMS library for the Java(tm) platform. It runs
on the Java 2 Platform (JDK 1.4 or later) and implements the JDBC 3.0 API.
SmallSQL Database is licensed under the terms of the GNU Lesser General
Public Licence (LGPL). A copy of the licence is included in the
Distribution.
Please note that SmallSQL Database is distributed WITHOUT ANY WARRANTY
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
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Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array
based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the
sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array
were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved Distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been renewed interest in simulation-based techniques. The basic idea behind
these techniques is that the current state of knowledge is encapsulated in a representative
sample from the appropriate posterior Distribution. As time goes on, the sample evolves and
adapts recursively in accordance with newly acquired data. We give a critical review of recent
developments, by reference to oil well monitoring, ion channel monitoring and tracking
problems, and propose some alternative algorithms that avoid the weaknesses of the current
methods.
Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification
Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely.
Using a small script, the cumulative Distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained
Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo
algorithm to sample from the Distribution P ~ EXP(-F), where F is the
first argument to HMC. The Markov chain starts at the point X, and
the function GRADF is the gradient of the `energy function F.
s file contains the Joone Distributed training Environment (DTE).
See http://www.jooneworld.com/docs/dte.html to learn more about it.
To learn more about Joone - Java Object Oriented Neural Engine: http://www.joone.org
Joone and the DTE are both released with the LGPL license
@2004 Paolo Marrone and the Joone team - All rights reserved
====================================================================
Credits
The Joone DTE uses the following external packages:
- SUN Jini Network Technology http://wwws.sun.com/software/jini/index.html
- Computefarm Framework http://computefarm.jini.org
- Spring Framework http://www.springframework.org
We want to thank all the authors and contributors of the above packages.
Please read the respective licenses contained in this Distribution.
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic Distribution point method and the chart depth first traversal the law two kinds.It can searches the shortest way to demonstrate automatically
This paper presents the results of the Finnish national "Technology Vision of the Future Distribution Network" project. The aim of the project was to create a technology vision of future Distribution networks. Because the life span of networks is very long, a long term vision is very important for guiding network investments and technology development.
