Page 92 - R2017-REC-ECE-UG Syllabus
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Department of ECE, REC




                OUTCOMES:
                Upon completion of the course, students will be able to:
                    •   Demonstration of concepts and functions of various SDR modules.
                    •   Capability of interfacing different modules of SDR architecture.
                    •   Implementation of cognitive functions using Artificial Intelligence techniques.
                    •   Design of wireless networks based on the functions of cognitive radio.
                    •   Relating the concepts behind the wireless networks and next generation networks

                TEXT BOOKS:
                1.Joseph MitolaIII,”Software Radio Architecture: Object-Oriented Approaches to Wireless System
                   Engineering”, John Wiley & Sons Ltd. 2000.
                2.Bruce A. Fette, “Cognitive Radio Technology”, Elsevier, 2009.

                REFERENCES:
                      1.  Simon Haykin, “Cognitive Radio: Brain –Empowered Wireless Communications”, IEEE Journal on
                         selected areas in communications, Feb 2005.
                      2.  HasariCelebi,  HuseyinArslan,  “Enabling  Location  and  Environment  Awareness  in  Cognitive
                         Radios”, Elsevier Computer Communications, Jan 2008.
                      3.  Markus  Dillinger,  KambizMadani,  Nancy  Alonistioti,  “Software  Defined  Radio”,    John  Wiley,
                         2003.
                      4.  HuseyinArslan, “Cognitive Radio, SDR and Adaptive System”,  Springer, 2007.
                      5.  Alexander  M.  Wyglinski,  Maziarnekovee,Y.  Thomas  Hu,  “Cognitive Radio  Communication  and
                         Networks”,Elsevier,2010.
                      6.  Thomas  W.Rondeau,  Charles  W.  Bostain,  “Artificial  Intelligence  in  Wireless  communication”,
                         ARTECH HOUSE .2009.
                      7.  Ian  F.  Akyildiz,  Won  –  Yeol  Lee,  Mehmet  C.  Vuran,  ShantidevMohanty,  “Next  generation
                         dynamic  spectrum  access  /  cognitive  radio  wireless  networks:  A  Survey”  Elsevier  Computer
                         Networks, May 2006.

                MT17702              ROBOTICS AND MACHINE VISION SYSTEM                           L  T  P  C
                                                                                                  3   0  0   3
                OBJECTIVES:
                    •   Students will learn about basics of robots laws and transmission systems
                    •   The student will be exposed to the knowledge in different types end effectors based on their usage.
                    •   To familiarize students with the concepts and techniques of robot manipulator, its kinematics
                    •   The student will learn Programming and Machine vision applications in robots.

                UNIT I        BASICS OF ROBOTICS                                                                              9
                Introduction-  Basic  components  of  robot-Laws  of  robotics-  classification  of  robot-work  space-  accuracy-
                resolution–repeatability  of  robot.  Power  transmission  system:  Rotary  to  rotary  motion,  Rotary  to  linear
                motion, Harmonics drives
                UNIT II       ROBOT END EFFECTORS                                                                          9
                Robot  End  effectors:  Introduction-types  of  End  effectors-Mechanical  gripper-types  of  gripper  mechanism-
                gripper force analysis-other types of gripper-special purpose grippers.

                UNIT III      ROBOT MECHANICS                                                                                   10



                Curriculum and Syllabus | B.E. Electronics and Communication Engineering | R2017      Page 92
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