Lecture Notes IIS Prof. Dehan Luo

1. Lecture Notes IIS Prof. Dehan Luo Intelligent Instrumentation System（IIS） For M&C 2006 智能仪器系统 （测控技术与仪器2006级用） From 1 Sept. 2008 To 18 Feb. 2009 By Dr. Dehan Luo Intelligent Sensors System 1-1 School of Information Engineering

2. Chapter 1 Introduction Prof. Dehan Luo 第 1 章Introduction (引言) 1 Course name，prerequisites （先修课）& textbook(教材） 2 Course objective (课程任务） 3 Course outcome (课程目的） 4 Lecture outline (内容概要） 5Test & grading (考核与记分） 6Reference recommended (参考书目） 7 Contact information（联系方式） Intelligent Sensors System 1-2 School of Information Engineering

3. Chapter 1 Introduction Prof. Dehan Luo 1 Course name，prerequisites（先修课）& textbook(教材） （1）Course name: Intelligent Instrumentation system, or Intelligent Sensor System (智能传感器系统), or Smart Sensors （2）Prerequisites （先修课）: The students are expected to have basic knowledge on each of the following areas: (a)Computer Science: programming in a high- level language (b)Statistics: mean value（均值）, variance（方差）, probability function（概率函数） (c) Circuit Analysis: voltage, current, RLC circuits （3）Textbook:(教材） (a) Intelligent Sensor System (智能传感器系统 Chinese version and English version ) are required. (b) Bilingual Lecture Notes(双语讲义electronic version) will be handed round on the course when available Intelligent Sensors System 1-3 School of Information Engineering

4. Chapter 1 Introduction Prof. Dehan Luo • 2 Course objective (课程任务): • (1) Introduce the fundamentals of sensors, instrumentation, pattern analysis（模式分析）and intelligent sensor systems • (2) Provide the students with an integrative（综合的）and multidisciplinary（多学科的）experience by building a complete multi-sensor intelligent system。 • (3) Allow the students to develop instrumentation, data acquisition （数据采集），pattern analysis software using modern equipment and software tools • Intelligent Sensors System 1-4 School of Information Engineering

5. Chapter 1 Introduction Prof. Dehan Luo • 3 Course Outcomes（课程目的）: • The students will be able to design, analyze and implement（调试): • （1）Basic instrumentation and signal conditioning circuits • （简单仪器和信号调理电路） • （2）Virtual instrumentation and data acquisition software • (虚拟仪器和数据采集软件) • （3）Pattern analysis algorithms for multi-sensor systems • （多传感器系统模式分析算法) • Intelligent Sensors System 1-5 School of Information Engineering

6. Chapter 1 Introduction Prof. Dehan Luo 4 Lecture Outline(内容概要) (1) SENSORS （a）Primary sensing principles and measurement variables （传感器原理 与测量变量） （b）Sensor performance characteristics and terminology （传感器特 性和术语） (2) INSTRUMENTATION （a） Transducer measurement circuits （传感器测量电路） （b） Signal conditioning circuits （c）Data conversion: DAC（数/模转换 ADC） Intelligent Sensors System 1-6 School of Information Engineering

7. Chapter 1 Introduction Prof. Dehan Luo 4 Lecture Outline(内容概要) (3) PATTERN ANALYSIS （a）Introduction to Statistical Pattern Recognition（统计模型识别简介） （b）Dimensionality reduction（维度压缩） （c）Classification（分类） （d）Validation（有效性） (4) INTELLIGENT SENSOR SYSTEM （a）Structure, definitions and concepts（结构、定义和概念） （b）Advanced processing and control techniques（高级处理与控制技术） （c）Smart sensors（新型传感器） （d）Intelligent instrumentation(智能仪器) （e） Case study: the “electronic nose”（应用举例:“电子鼻”） Intelligent Sensors System 1-7 School of Information Engineering

8. Chapter 1 Introduction Prof. Dehan Luo 4 Lecture Outline(内容概要) (5) Block of intelligent instrumentation(智能仪器框图) Intelligent Sensors System 1-8 School of Information Engineering

9. Chapter 1 Introduction Prof. Dehan Luo 4 Lecture Outline(内容概要) (6) Block of intelligent sensor system----electronic nose (智能传感器--电子鼻框图) Intelligent Sensors System 1-9 School of Information Engineering 传感器阵列 气味传递

10. Chapter 1 Introduction Prof. Dehan Luo 5 Tests & Grading （考核与计分): (1) Tests （考核) There will be a midterm exam and a final exam. All tests will be closed-books, closed-notes. Tests will emphasize new material. (2) Grading （计分): The course grade（课程成绩）will be the weighted sum（加权和）of four grades (laboratory, home work and two tests). Grading will be straight scale (90-100 A, 80-89 B, 70-79 C, 60-69 D, below 60 F).   Weight (%) Laboratories 20 Home work 20 Final Exam 70 Intelligent Sensors System 1-10 School of Information Engineering

11. Chapter 1 Introduction Prof. Dehan Luo 5 Tests & Grading （考核与计分): (3) Missed Tests（缺考）: Missed tests can only be made up in case of emergency, and will require supporting documentation. Whenever possible, these issues should be discussed with the instructor prior to test date. (4) Collaboration vs(versus). Academic Dishonesty（提倡互学，反对作弊）: Students are encouraged to exchange ideas and form study groups to discuss the course material, prepare for lab assignments and tests. However, discussions between different groups regarding laboratory assignments should be kept at the conceptual level. Academic dishonesty will not be tolerated in class, in the laboratory or during examinations. Intelligent Sensors System 1-11 School of Information Engineering

12. Chapter 1 Introduction Prof. Dehan Luo 6 References Recommended 1 R. H. Bishop, Learning with LabVIEW（学用LabVIEW）, Addison Wesley, 1999 2 D. Hanselman and B. Littlefield, Mastering MATLAB 6（掌握 MATLAB 6）, Prentice Hall, 1998 3 R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification（模式分类）, Wiley, 2001 4 J. Brignell and N. White, Intelligent Sensor Systems(智能传感器系统), Revised Ed., IOP, 1996 5 R. Frank, Understanding Smart Sensors（新型传感器分析）, 2nd Ed., Artech, 2000 6 R. Pallás-Areny and J. G. Webster, Sensors and Signal Conditioning（传感器与信号 调理）, Wiley, 1991 7 刘君华 智能传感器系统，西安电子科技大学出版社，2000. 西安 8 程德福 智能仪器 ，机械工业出版社，2002. 北京. Intelligent Sensors System 1-12 School of Information Engineering

13. Chapter 1 Introduction Prof. Dehan Luo • 6 Contact Me • Name : Dehan Luo • Office: Room 601, Engineering Building 1 • Phone: 39322256 Ext. 601 • Mobile: 13923282100, 13650992518 • Email: dehanluo@gdut.edu.cn • luodehan@ustc.edu.cn • Intelligent Sensors System 1-12 School of Information Engineering