aimee_liu的博客

CONTENTS About the Editor . . . . . . . . . . . . . . . . . vii About the Authors . . . . . . . . . . . . . . . . ix Introduction . . . . . . . . . . . . . . . . . . . xv Ken Arnold Style Is Substance . . . . . . . . . . . . . . . . 1 Leon Bambrick Award for the Silliest User Interface: Windows Search . . . . . . . . . . . . . . . . 7 Michael Bean The Pitfalls of Outsourcing Programmers . . 9 Rory Blyth Excel as a Database . . . . . . . . . . . . . . 17 Adam Bosworth ICSOC04 Talk . . . . . . . . . . . . . . . . . 23 danah boyd Autistic Social Software . . . . . . . . . . . . 35 Raymond Chen Why Not Just Block the Apps That Rely on Undocumented Behavior? . . . . . . 47 Kevin Cheng and Tom Chi Kicking the Llama . . . . . . . . . . . . . . . 51 Cory Doctorow Save Canada’s Internet from WIPO . . . . . 53 ea_spouse EA: The Human Story . . . . . . . . . . . . . 59 Bruce Eckel Strong Typing vs. Strong Testing . . . . . . . 67 Paul Ford Processing Processing . . . . . . . . . . . . . 79 Paul Graham Great Hackers . . . . . . . . . . . . . . . . . 95 John Gruber The Location Field Is the New Command Line . . . . . . . . . . . . . . . . 111 Gregor Hohpe Starbucks Does Not Use Two-Phase Commit . . . . . . . . . . . . . . . . . . . . 119 Ron Jeffries Passion . . . . . . . . . . . . . . . . . . . . 125 Eric Johnson C++—The Forgotten Trojan Horse . . . . . 129 Eric Lippert How Many Microsoft Employees Does It Take to Change a Lightbulb? . . . . . . . 135 Michael “Rands” Lopp What to Do When You’re Screwed . . . . . 139 Larry Osterman Larry’s Rules of Software Engineering #2: Measuring Testers by Test Metrics Doesn’t . . . . . . . . . . . 151 Mary Poppendieck Team Compensation . . . . . . . . . . . . . 157 Rick Schaut Mac Word 6.0 . . . . . . . . . . . . . . . . 171 Clay Shirky A Group Is Its Own Worst Enemy . . . . . . 183 Clay Shirky Group as User: Flaming and the Design of Social Software . . . . . . . . . . 211 Eric Sink Closing the Gap, Part 1 . . . . . . . . . . . 223 Eric Sink Closing the Gap, Part 2 . . . . . . . . . . . 233 Eric Sink Hazards of Hiring . . . . . . . . . . . . . . 247 Aaron Swartz PowerPoint Remix . . . . . . . . . . . . . . 261 why the lucky stiff A Quick (and Hopefully Painless) Ride Through Ruby (with Cartoon Foxes) . . . . 267 Index . . . . . . . . . . . . . . . . . . . . . . 293 vi Contents

典型的车牌识别过程由图像采集、预处理、二 值化、车牌定位、字符分割和字符识别等过程组 成。车牌识别技术已成为图像处理和模式识别技 术研究中的热点。现有的车牌识别算法对于复杂 背景下的车牌识别仍有未尽如人意之处。本文提 出一种基于主动轮廓模型的精确定位车牌的方 法, 可以准确求出与车牌边框相符的矩形边界, 提 高切割字符矩形的准确率, 为随后的字符识别奠 定基础。 1　车牌区域的检测(车牌定位) 车牌区域检测需运用车牌区域所特有的属 性。通过分析知道, 保证在各种条件下获取车牌所 在图像区域稳定可靠的信息是具有丰富的边缘的 基础, 因此可以针对边缘信息分析为基础, 设计车 牌初始定位的算法。利用文献[1 ]中提到的自动扫 描识别算法, 即笔划间隔的像素稳定在某一个范 围内, 笔划数也存在下限, 因此, 可设定阈值, 通过 扫描确定车牌候选位置。最后利用车牌的字符布

Background: # wireless (mobile) phone subscribers now exceeds # wired phone subscribers! Computer nets: laptops, palmtops, PDAs, Internet-enabled phone promise anytime untethered Internet access Two important (but different) challenges Communication over wireless link Handling mobile user who changes point of attachment to network

基于Struts+JDBC的个人通讯录管理，适合初学入门， --配置文件 --数据库设计信息 ---java类 --JSp源码