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Description: Purpose of this White Paper
This white paper describes a collection of standards, conventions, and guidelines for writing solid Java
code. They are based on sound, proven software engineering principles that lead to code that is easy to
understand, to maintain, and to enhance. Furthermore, by following these coding standards your
productivity as a Java developer should increase remarkably – Experience shows that by taking the time to
write high-quality code right from the start you will have a much easier time modifying it during the
development process. Finally, following a common set of coding standards leads to greater consistency,
making teams of developers significantly more productive.-Purpose of this White Paper This white pape r describes a collection of standards, conventions, and guidelines for solid writing Java code. The y are based on sound, proven software engineering principles that l perf to code that is easy to understand, to maintain, and to enhance. Furthermore, by following these coding standards your produ ctivity as a Java developer should increase poise arkably - Experience shows that by taking the ti me to write high-quality code right from the sta rt you will have a much easier time modifying it d uring the development process. Finally, following a common set of coding standards lead s to greater consistency. making teams of developers significantly more productive.
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Size: 393781 |
Author: 许任 |
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Description: Purpose of this White Paper
This white paper describes a collection of standards, conventions, and guidelines for writing solid Java
code. They are based on sound, proven software engineering principles that lead to code that is easy to
understand, to maintain, and to enhance. Furthermore, by following these coding standards your
productivity as a Java developer should increase remarkably – Experience shows that by taking the time to
write high-quality code right from the start you will have a much easier time modifying it during the
development process. Finally, following a common set of coding standards leads to greater consistency,
making teams of developers significantly more productive.-Purpose of this White Paper This white pape r describes a collection of standards, conventions, and guidelines for solid writing Java code. The y are based on sound, proven software engineering principles that l perf to code that is easy to understand, to maintain, and to enhance. Furthermore, by following these coding standards your produ ctivity as a Java developer should increase poise arkably- Experience shows that by taking the ti me to write high-quality code right from the sta rt you will have a much easier time modifying it d uring the development process. Finally, following a common set of coding standards lead s to greater consistency. making teams of developers significantly more productive.
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Size: 393216 |
Author: 许任 |
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Description: RT-LAB是加拿大Opal-RT公司开发的一套基于模型的实时仿真软件包,广泛应用于航空航天、武器研制、汽车等各个领域,因而对基于该平台的设备驱动程序的需求也越来越多,在简单介绍了RT-LAB软件包工作原理之后,分析了RT-LAB环境下PCI板卡驱动程序的实现方法,以NI6230多功能数据采集卡的驱动程序开发为例,介绍了驱动程序开发的方法及编程要点,给出了RT-LAB下驱动程序的基本框架,从逻辑上将驱动程序分为命令站程序和目标机程序两部分,并提供了部分关键代码 在某导弹半实物仿真系统中的运行结果表明该驱动程序运行稳定、可靠-Programming of A PCI Board Driver Based on RT-LAB
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Size: 275456 |
Author: hudejun |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv
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Description: c++的程序，举得很有用，我也不知道说什么好了，非要-qw fg fg 7 fgk dy opln ry l et er er fd d4 4b 6b rt 54 t
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Size: 568320 |
Author: err |
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Description: 它是把四声道立体声在录制时通过特定的编码手段合成为两声道，即将原来的左声道（L）、右声道（R）、中置声道（C）、环绕声道（S）的4个信号，经编码后合成为LT、RT复合双声道信号，重放时通过解码器将已编码的双声道复合信号LT和RT还原为编码的左、右、中、环绕四个互不干犹的独立信号，经放大后分别输入左音箱、右音箱、中置音箱和环绕音箱。(It is the four track stereo recording by means of encoding specific synthesis is two channel, to the left and right channel (L) (R), middle channel (C), surround channel (S) of the 4 signals, after encoding for the synthesis of LT, RT double channel signal playback when the decoder will have encoding two channel composite signal LT and the reduction of RT to encoding the left and right, surrounded by four mutually independent signals and stem, enter the left speaker, right speakers, speakers and surround speakers after amplification.)
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Size: 39936 |
Author: 悠悠晓景
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Description: 455 单载波的调试 vccvcvcvcvtestokokokkkkkoookokokkookokokokokoko
rt l p lp lp lp lp lp lp lp lp lp v lpc lp lp lp lp lp lp lp p l pl pl p l p(4545 vccvcvcvcvtestokokokkkkkoookokokkookokokokokoko
rt l p lp lp lp lp lp lp lp lp lp v lpc lp lp lp)
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Author: oceanocean
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Description: 测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St\ FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)
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Author: 朱朱521 |
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