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按分类查找All 行业发展研究(38) 

[行业发展研究] China_The_Edifuce_Complex

空头大鳄查诺斯Wine Country Conference上,用一份19页的PPT对诱发中国金融危机的一些因素做出解释,声称中国金融危机势必发生,只是或早或晚的区别。查诺斯表示中国的金融危机已经开始,而多米诺骨牌似乎已经开始倒塌。
Short predators search Northrop Wine Country Conference, with a 19-page PPT induced financial crisis, a number of factors to explain the claim that China' s financial crisis is bound to occur, but sooner or later the difference. Chanos said China' s financial crisis has already begun, and seem to have started a domino collapse. (2013-04-24, WORD, 1128KB, 下载1次)

http://www.pudn.com/Download/item/id/2214888.html

[行业发展研究] Computer_Architecture_5th_edition

在计算机系统结构领域,《计算机系统结构——量化研究方法》这本书被公认是“圣经”。其撰写者之一是斯坦福大学的校长。目前这本书已经出版了第五版(2012年出版),中文版的暂时还没出来。第五版对第四版的排版做了修改,很多章节也增加了新的内容,删掉了“Storage System”这一章。本资源是这本书的英文文字版,不是扫描版的。大家有需要可以下载。
Computer Architecture- a Quantitative Approach (5th Edition) (2013-04-12, Visual C++, 7048KB, 下载6次)

http://www.pudn.com/Download/item/id/2196939.html

[行业发展研究] release.tar

斯坦福大学计算机系Andrew N.G教授于2011年CVPR发表文章Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis,文件是实现的code,很有用哦
Andrew NG, Professor of the Department of Computer Science at Stanford University published in 2011 CVPR article Learning hierarchical spatio-temporal features for action recognition with independent Sbspaces are analysis, file implementation code very useful oh (2012-11-07, matlab, 29730KB, 下载117次)

http://www.pudn.com/Download/item/id/2039359.html

[行业发展研究] ontrol-technology

:本文首先介绍了月球车自主导航技术的研究背景.对二十世纪90年代前后行星探测车自 主导方训空制技术的发展进行了综述,并重点介绍了JPL和CMU在行星探测车导航技术方面的研 究成果.最后得出结论,目前,遥操作加半自主的导航控制模式,是普遮来用并较为有效的导航 拉制方式
: This paper first introduces the the lunar rover autonomous navigation technology research background. Reviewed before and after the 1990s, planetary rover air system technology development training from leading party, and highlights the JPL and CMU planetary rover navigation technology Finally, the results of research. concluded teleoperation plus semi-autonomous navigation control mode, Pu cover to use and more effective navigation drawn (2012-10-25, Windows_Unix, 561KB, 下载6次)

http://www.pudn.com/Download/item/id/2026655.html

[行业发展研究] Power-system-risk-assessment

电力系统风险评估方法和应用实例研究,介绍一种新的可用于电力系统规划、设计、运行及维护领域风险评估的方法。该方法强调工程应 用, 探讨电力系统的实际问题。根据规划、运行、维修和资产管理方面的不同要求, 发展特定的概念、针 对性的方法和实施步骤, 如提出元件老化失效模型、共因停运的分离模型及元件组停运模型等新概念。通 过对加拿大某城市电力系统扩建规划实例的分析, 说明如何进行具体工程的可靠性概率评估, 以达到资源 的最佳配置, 使系统风险保持在目标水平。
Power system risk assessment methodologies and case studies to introduce a new can be used for power system planning, design, operation and maintenance of the field of risk assessment approach. The approach emphasizes engineering applications to explore the practical problems of the power system. According to the different requirements of the planning, operation, maintenance and asset management, development of specific concepts, and the targeted approach and implementation steps, such as component aging failure model, the outage model and a new concept common cause outage separation models and components group . Instance of the power system expansion planning of Canadian cities shows how the reliability of the probability of a specific project assessment, in order to achieve the optimal allocation of resources, so that the system risk is maintained at the target level. (2012-08-17, matlab, 818KB, 下载91次)

http://www.pudn.com/Download/item/id/1969091.html

[行业发展研究] biyesheji

微型惯性测量组合包括微型陀螺仪和微型加速度计,是MEMS技术在惯性技术领域成功应用。与传统的惯性器件相比,MIMU在设计、材料和制造等方面都采用了全新的、革命性的工艺和方法,使其具有前所未见的小体积和重量、商业级的低价格、极高的可靠性和寿命。MIMU的这些特点使得惯性测量技术的应用从不计成本的军事领域扩展到市场广阔的民用、商用领域。
Micro inertial measurement units, including micro-gyroscopes and micro-accelerometers, MEMS technology is successfully applied in the field of inertial technology. Compared with the traditional inertial devices, MIMU in design, materials and manufacturing are adopting a new, revolutionary technology and methods, it has the unprecedented small size and weight, commercial-grade, low price high reliability and life. MIMU of these features make the inertial measurement technology from the military in the field regardless of cost to market a vast expansion of civil, commercial area. (2012-05-17, Others, 595KB, 下载11次)

http://www.pudn.com/Download/item/id/1873662.html

[行业发展研究] acmfudaojiaocheng

问题规模化是近来信息学竞赛的一个新趋势,它意在通过扩大数据量来增加算法设计和编程实现的难度,这就向信息学竞赛的选手提出了更高层次的要求,本文试图探索一些解决此类问题的普遍性的策略。开始,本文给出了“规模化”一词的定义,并据此将其分为横向扩展和纵向扩展两种类型,分别进行论述。在探讨横向扩展问题的解决时本文是以谋划策略的“降维”思想为主要对象的;而重点讨论的是纵向扩展问题的解决,先提出了两种策略——分解法和精简法,然后结合一个具体例子研究“剪枝”在规模化问题中的应用。问题规模化是信息学竞赛向实际运用靠拢的一个体现,因此具有不可忽视的意义。
The scale of the problem is the recent informatics competition is a new trend, it intended to achieve by expanding the amount of data to increase the algorithm design and programming difficulty, which a higher level of requirements to the Olympiad players, this article attempts to explore some of thegeneral strategy to solve such problems. The paper gives the definition of the term "scale", which will be divided into horizontal expansion and vertical expansion of the two types, were discussed. Solution to explore the problem of horizontal expansion when this article is to plan strategy, "dimensionality reduction" ideology as the main object focus on the scale of problems, the first two strategies- decomposition and streamline the law, and then combined with a specific example of "pruning" in the large-scale problems. The scale of the problem is the the informatics race closer to the practical application of an embodiment and therefore can not be ignored significance. (2012-02-19, Visual C++, 412KB, 下载2次)

http://www.pudn.com/Download/item/id/1775044.html

[行业发展研究] Web-Data-Mining.Bing-Liu

Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰 刘兵(BingLiu),伊利诺伊大学芝加哥分校(UIC)教授,他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家,在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣,他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑,也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。 本书旨在阐述web数据挖掘的概念及其核心算法,使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题,而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容,这些内容在已有书籍中没有提及过,但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分:第一部分包括第2章到第5章,介绍数据挖掘的基础;第二部分包括第6章到第12章,介绍Web相关的挖掘任务。
Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee. This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms (2012-01-14, Java, 3277KB, 下载45次)

http://www.pudn.com/Download/item/id/1756798.html

[行业发展研究] 23.SQL

SQL 简史 SQL 的诞生于 IBM 公司在加利福尼亚 San Jose 的试验室中 在七十年代 SQL 由这里 开发出来 最初它们被称为结构化查询语言 Structured Query Language 并常常简称为 sequel 开始时它们是为 IBM 公司的 DB2 系列数据管理系统 RDBMS — — 关系型数据库 管理系统 而开发的 您在今天仍可以买到在不同平台下运行的该系统 事实上 是 SQL 造就了 RDBMS 它是一种非过程语言 与第三代过程语言如 C 和 COBOL 产生于同一时 代
A Brief History of SQL, SQL was born in San Jose, California IBM' s laboratory in the SQL from here in the seventies they were originally developed in the structured query language called Structured Query Language and is often referred to as the sequel to the start of IBM, they are The DB2 family of data management system RDBMS-- relational database management system developed you can still buy today running on different platforms is the fact that the system created a SQL RDBMS it is a non-procedural language with third-generation process languages ​ ​ such as C and COBOL generated at the same time (2011-11-16, SQL, 1981KB, 下载2次)

http://www.pudn.com/Download/item/id/1700944.html

[行业发展研究] liuxinggaishu

:流形学习是一种新的非监督学习方法,近年来引起越来越多机器学习和认知科学工作者的重视. 为了加深 对流形学习的认识和理解,该文由流形学习的拓扑学概念入手,追溯它的发展过程. 在明确流形学习的不同表示方 法后,针对几种主要的流形算法,分析它们各自的优势和不足,然后分别引用Isomap 和LL E 的应用示例. 结果表明, 流形学习较之于传统的线性降维方法,能够有效地发现非线性高维数据的本质维数,利于进行维数约简和数据分 析. 最后对流形学习未来的研究方向做出展望,以期进一步拓展流形学习的应用领域.
As a new unsupervised learning met hod , manifold learning is capt uring increasing interest s of re2 searchers in the field of machine learning and cognitive sciences. To under stand manifold learning bet ter , t he topology concept of manifold learning was presented firstly , and t hen it s development history was t raced. Based on different representations of manifold , several major algorit hms were int roduced , whose advantages and defect s were pointed out respectively. Af ter that , two kinds of typical applications of Iso2 map and LL E were indicated. The result s show that compared wit h t raditional linear method , manifold learning can discover t he int rinsic dimensions of nonlinear high2dimensional data effectively , helping re2 searchers to reduce dimensionality and analyze data bet ter . Finally t he prospect of manifold learning was discussed , so as to extend t he application area of manifold learning. (2011-09-23, PDF, 660KB, 下载26次)

http://www.pudn.com/Download/item/id/1653027.html

[行业发展研究] demand

涉众(Stakeholder)指受到 系统影响的人或组织。把系统看作是涉 众利益交锋的结果,刷新了以前的“客 户” 、 “用户”等概念,给需求带来了新的 视界。接着第9期的“从涉众利益改善需 求质量” 一文, 这次我们来探讨如何获取 涉众的真正需求,本文将着重以案例的 形式讲解
Stakeholders (Stakeholder) refers to people affected by the system or organization. The system as a result of stakeholder interests clash, breaking the previous " client" , " user" and so on, to bring a new vision needs. Then No. 9 " From the interests of stakeholders needs to improve the quality of" article, this time to explore how we get the real needs of stakeholders, this article will focus on explaining the form of case (2011-08-23, Windows_Unix, 97KB, 下载2次)

http://www.pudn.com/Download/item/id/1629123.html

[行业发展研究] image_processing_websites

这里面包含很多关于图像处理方面的网站链接,清华计算机图形图像,北邮资料,各种图像工作室,俄罗斯视频测量软件,剑桥大学,华盛顿大学,卡内基梅隆大学,加州大学,MIT,微软计算机视觉。。。。。
image processing websites (2010-11-01, HTML, 25KB, 下载5次)

http://www.pudn.com/Download/item/id/1333065.html

[行业发展研究] sift4

:提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构 建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配
: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, feature library building goals, and then use the K-dimensional tree based feature matching algorithm for real-time image sequences extracted SIFT features and characteristics of the target database accurately match (2010-04-09, Others, 258KB, 下载91次)

http://www.pudn.com/Download/item/id/1117860.html

[行业发展研究] A_new_Encryption_Technology

刘涛涛在2008中国软件安全技术峰会上演讲用的PPT,关于软件加解密的技术趋势,提出了一种新的软件加密方式——扭曲变换加密技术(内详)。
Liu Taotao security technology at the 2008 China Summit presentation software used in PPT, on software encryption and decryption technology trends, proposed a new software encryption method (2010-03-22, Asm, 153KB, 下载12次)

http://www.pudn.com/Download/item/id/1095035.html

[行业发展研究] dfbfdvbfdbfgbfgb153351bgfb

: 条形码识别,直接运行程序即可; pdf417lib:二维条形码打印(输出为ps格式的文件),在书中第6章二维条形码打印部分有程序使用的说明; 条形码生成器源程序:生成一维条形码,直接运行程序即可; [8位数字频率计.rar] - 数字频率计~ VHDL 实现 可以实现频率的测量和现实的功能 8位 [hot.rar] - 图像分割是数字图像处理中的关键技术之一。图像分割是将图像中有意义的特征
tiaoxingma.rar]- barcode: barcode recognition, you can run the program directly pdf417lib: two-dimensional bar code printing (output ps format), in the book, Chapter 6, two-dimensional bar code printing part of a program using the instructions barcode generation device source: Build a one-dimensional bar code, you can run the program directly [8-bit digital frequency meter. rar]- digital frequency meter ~ VHDL implementation can be achieved and actual measurement of the frequency function of 8 [hot.rar]- Image Segmentation digital image processing of the key technologies. Image segmentation is the image characteristics of a meaningful (2009-11-18, Visual C++, 1062KB, 下载21次)

http://www.pudn.com/Download/item/id/974979.html

[行业发展研究] The_Status_Quo_of_Machine_Learning_of_Artificial_I

机器学习是人工智能的一个子领域,是人工智能中非常活跃且范围甚广的主要核心研究领域之一,也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果,主要关注于开发一些让计算机可以自动学习的技术,并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展,以及各种机器学习方法,包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等,并简单叙述了机器学习的相关算法,包括决策树算法、随机森林算法、人工神经网络算法、SVM算法、Boosting与Bagging算法、关联规则算法、贝叶斯学习算法以及EM算法等,最后还指出了机器学习的应用及其发展趋势。
Machine learning is a subset of the field of Artificial Intelligence,is very active in Artificial Intelligence and a wide range of research in the field of one of the main core, is the key and the bottleneck of a modern intelligent system.Machine Learning has absorbed the results of Artificial Intelligence, Probability and Statistics, Computational Complexity Theory, Cybernetics, Information Theory, Philosophy, Physiology and Neurobiology, and other disciplines.It concerns mainly about how to develop some of technology which can make the computer auto-learning,and through experiences to improve the performance of the system itself.This paper introduces the concept,the basic structure and development of machine learning, and a variety of machine learning methods,including machine learning, inductive learning, learning by analogy, explanation-based learning,based on neural network learning and knowledge discovery, and so on. And briefly descrip the algorithms of machine learning,includin (2009-06-13, Others, 32KB, 下载43次)

http://www.pudn.com/Download/item/id/805253.html

[行业发展研究] PSO

粒子群算法在三维空间机器人路径规划中的应用
PSO at three-dimensional space robot path planning (2009-03-27, Visual C++, 322KB, 下载171次)

http://www.pudn.com/Download/item/id/690530.html

[行业发展研究] AI

人工智能(Artificial Intelligence,AI)一直都处于计算机技术的最前沿,经历了几起几落…… 长久以来,人工智能对于普通人来说是那样的可望而不可及,然而它却吸引了无数研究人员为之奉献才智,从美国的麻省理工学院(MIT)、卡内基-梅隆大学(CMU)到IBM公司,再到日本的本田公司、SONY公司以及国内的清华大学、中科院等科研院所,全世界的实验室都在进行着AI技术的实验。不久前,著名导演斯蒂文斯皮尔伯格还将这一主题搬上了银幕,科幻片《人工智能》(A.I.)对许多人的头脑又一次产生了震动,引起了一些人士了解并探索人工智能领域的兴趣。
err (2009-01-06, Others, 10KB, 下载6次)

http://www.pudn.com/Download/item/id/625841.html
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