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Java Application using EJB 3.0 for renting a car - Entities : Car, User, Renting Business Logic. needs Glassfish v2, mysql DB
標(biāo)簽：
Application
Business
Entities
Renting
上傳時(shí)間：
2017-07-27
上傳用戶：aa17807091
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The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
標(biāo)簽：
spectrum
direction-independent
i.e.
the
上傳時(shí)間：
2013-12-17
上傳用戶：watch100
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A certification path is an ordered list of certificates starting with a certificate issued by the relying
party s trust root, and ending with the target certificate that needs to be validated. Certification
path validation procedures are based on the algorithm supplied in ITU-T Recommendation X.509
and further defined in Internet Engineering Task Force (IETF) Request for Comments (RFC)
3280. Certification path processing verifies the binding between the subject distinguished name
and/or subject alternative name and the subject public key defined in the target certificate. The
binding is limited by constraints, which are specified in the certificates that comprise the path,
and inputs that are specified by the relying party. To ensure secure interoperation of PKI-enabled
applications, the path validation must be done in accordance with the X.509 and RFC 3280
specifications. This document provides the test assertions and the test cases for testing path
validation software against these specifications.
標(biāo)簽：
certification
certificates
certificate
starting
上傳時(shí)間：
2017-07-31
上傳用戶：清風(fēng)冷雨
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Mastering the Requirements Process, Second Edition, sets out an industry-proven process for gathering and verifying requirements with an eye toward today s agile development environments. In this total update of the bestselling guide, the authors show how to discover precisely what the customer wants and needs while doing the minimum requirements work according to the project s level of agility.
標(biāo)簽：
industry-proven
Requirements
Mastering
gatherin
上傳時(shí)間：
2013-12-08
上傳用戶：璇珠官人
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This book is intended as a thorough introduction to both PCI and PCI-X. Is as a “companion” to the specifications. If you’re designing boards or systems using offthe-shelf PCI interface silicon, this book together with the silicon vendor’s data sheets should be sufficient for your needs. On the other hand, if your goal is to design PCI silicon, motherboards or backplanes, you will undoubtedly need to reference the specifications for additional detail.
標(biāo)簽：
introduction
companion
intended
thorough
上傳時(shí)間：
2014-08-18
上傳用戶：hoperingcong
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This book describes and offers several solutions to many issues. It is geared to meet the immediate
and long-term needs of the professional network programmer.
標(biāo)簽：
describes
immediate
solutions
several
上傳時(shí)間：
2017-09-24
上傳用戶：playboys0
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This book is intended to be a complete and useful reference to the unified modeling language (UML) for the developer,architect,project manager,sysetem engineer,programmer,analyst,contracting officer,customer,and anyone else who needs to specify,design,build,or understand complex software system.
標(biāo)簽：
reference
intended
complete
modeling
上傳時(shí)間：
2017-09-24
上傳用戶：eclipse
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matlab有限元網(wǎng)格劃分程序
DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below.
One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods.
For the actual mesh generation, DistMesh uses the Delaunay triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by Delaunay. The boundary points are only allowed to move tangentially to the boundary by projections using the distance function. This iterative procedure typically results in very well-shaped meshes.
Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles.
To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more details see the documentation.
標(biāo)簽：
matlab有限元網(wǎng)格劃分程序
上傳時(shí)間：
2015-08-12
上傳用戶：凜風(fēng)拂衣袖
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Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
in
上傳時(shí)間：
2020-05-23
上傳用戶：shancjb
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Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
上傳時(shí)間：
2020-05-25
上傳用戶：shancjb
