搜索资源列表
java-application-development.RAR
- java与uml协同应用开发 java与uml协同应用开发-java application development java with uml and uml collaboration collaborative collaborative application development, application development, java and uml
Chord
- 本文的分析是基于麻省理工（MIT）的Chord-0.1 发布版本（2005-04-09-Chord-0.1.tar.gz）， Chord 0.1 的代码主要包括两个模块：Chord 和协作文件系统（Cooperative File System,CFS）,-This analysis is based on the Massachusetts Institute of Technology (MIT), Chord-0.1 release version (2005-04-09-Chord-
00099989898
- 协作分集的协作研究 通信 信道衰落 协作分集 协作协议 中断概率-Collaborative research cooperative diversity communication channel fading cooperation agreement cooperative diversity outage probability
rj1
- 软件项目风险管理的协同过程模型 软件工程-Collaborative software project risk management software engineering process model
wrw
- 体绘制中视点和光源的协同优化Volume Rendering collaborative optimization viewpoint and light source-Volume Rendering collaborative optimization viewpoint and light source
science
- 介绍水下目标识别系统，解决实际运用过程中识别过程-Underwater acoustic sensor network consists of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area.
node-of-optimizatin-algorithm-for-cr
- 协作频谱感知虽然可提高系统的感知性能， 但随着感知节点数目的增加， 系统资源的占用越来越多， 系统传输效率下降． 分析了协作频谱感知方法的感知性能， 得到协作频谱感知的感知性能与感知节点数目和接 收信噪比之间的关系， 提出了一种新的次级用户节点的选择方法， 该方法有效保证了所选择节点的感知性能， 仿真验证了该算法的有效性和可靠性．-Although the cooperative spectrum sensing can improve the perceived performan
davinci_comm
- TI的数字视频软件开发包（DVSDK）提供了Codec Engine这样一个软件模块来实现ARM和DSP或协处理器的协同工作。有很多工程师反馈这个软件模块非常好用，节省了很多开发时间，也有工程师认为TI提供的资料太多，不知如何快速上手。本文将从一个第一次接触Codec Engine的工程师角度出发，归纳TI提供的相关资源（文档，例程和网络资源）并介绍相关开发调试方法帮您快速入门Codec Engine。-TI' s digital video software development ki
cyphunk-depcb-fc62701
- Introduction dePCB.org project aims at helping people reverse engineer unknown electronic equipment faster and more easily. We plan to provide a collaborative platform where people can identify components, IC, annotate parts of a PCB an
three-basic-collaborativ
- AF，DF，CC,三种基本协作方式仿真程序-Simulation of three basic collaborative approach
PSO_CPP
- 微粒群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。微粒群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。-Particle Swarm Optimization (PSO) is a population based stochastic optimization technique by Eberhart and Kennedy ma
USB-data-transfer-module-instance
- MCU:PIC18F4550.实现了USB数据传输模块的设计，由于windows为HID提供了完整的类驱动程序及相应的API，因此开发PC端的HID应用只需调用API即可完成，作为嵌入式开发的工程师只要熟悉C++即可独立开发相关的上位机程序，无需在为协作开发中一人上位机、一人下位机的配合冲突而烦恼。-MCU: PIC18F4550. To achieve the USB data transfer module design, the windows to provide a complete
AF
- 协作通信的AF方式，完整得仿真程序，可作为初学者的参考-Collaborative communication AF Mode, get a complete simulation program can be used as a reference for beginners
1
- 对多AGENT条件下的POIMDP问题进行了研究，是协同的最新研究成果-MULTI-AGENT conditions for the POIMDP conducted a study, is the latest collaborative research
crm
- 客户关系管理系统实施合同基础上编制的。本文档的编写为下阶段的设计、开发提供依据，为项目组成员对需求的详尽理解，以及在开发开发过程中的协同工作提供强有力的保证。同时本文档也作为项目评审验收的依据之一。-Customer relationship management system implementation on the basis of the contract prepared. Preparation of this document for the next phase of the d
SOCR_CD
- This book was written to provide modern pedagogical perspective into technology- enhanced blended learning and instruction. It reflects the direction of amalgamation of knowledge from multiple disciplines with recent open networking and technolo
Lindo.tar
- 这是我写的使用Lindo库进行Java与Lindo协作编程求解数学问题的使用范例，可供想使用Lindo简化开发的编程人员提供借鉴。-This is my library written in Java using Lindo Lindo collaborative programming with the use of mathematical problem solving examples, available to simplify the development of the Lindo
PersonalizedRecommendationsEbusiness
- 简要介绍了电子商务推荐系统的概念、作用及组成构件,给出了推荐技术分类标准,系统综述了协同 过滤推荐、基于内容推荐、基于人口统计信息推荐、基于效用推荐、基于知识推荐和基于规则推荐等6 种主要的推 荐技术。对这些推荐技术的优缺点进行了比较,介绍了推荐评价技术。重点评述了电子商务个性化推荐领域中的 研究热点问题,并分析了目前国内电子商务个性化推荐理论研究和应用现状,最后提出了电子商务个性化推荐领 域所面临的挑战。-To make E- business system actively
Centralized-Sparse-Representation
- Sparse Representation or Collaborative Representation Which Helps Face Recognition
Tri-traing-by-myself
- 一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training