Faculty of Technical Sciences

Subject: Systems for automatic identification in bioengineering (17.BM119C)

Native organizations units: Department of Industrial Engineering and Engineering Management
General information:
 
Category Professional-applicative
Scientific or art field Mehatronika, robotika i automatizacija i integrisani sistemi
Interdisciplinary Yes
ECTS 5
Educational goal:

The course teaches the students the basic elements of a system for automatic identification and designing bioengineering systems in which automatic identification will be used for further process improvement.

Educational outcome:

Outcomes of the subject are mastering the techniques and the choice of appropriate systems and / or devices that can be applied in different bioengineering systems. Special emphasis is on the application of various technologies for automatic identification in a single system.

Course content:

Introduction to automatic identification systems. Technology for automatic identification of objects. Labeling and object recognition. Principles and types of barcode technology. Ways to use barcode technology. Principles of RFID technology. Methods of application of RFID technology. Principles of OCR technology. Biometric methods. Control of the data collected. Process management based on data collected from the process. Case studies of the application of automatic identification when: determining the correct dose of anesthesia during operations, blood bank, to prevent the misuse of drugs, locating patients and staff in real time, in medical operations and other.

Teaching methods:

Teaching is conducted through lectures and exercises. During the exercises the student is required to do practice-oriented tasks. Testing knowledge is carried out through the theoretical part of the exam, while before that has to do all the exercises provided. The final exam is in the form of a test and refers to the theoretical issues.

Literature:
Authors Title Year Publisher Language
Russell E. Adams Sourcebook of automatic identification and data collection 2017 Van Nostrand Reinhold English
Ostojić, G., Jovanović, V., Stankovski, S., Lazarević, M. RFID Product and Part Tracking for the Preventive Maintenance 2009 ASME 2009, Purdue University, West Lafayette, Indiana, U.S.A. English
Ostojić, G., Stankovski, S. Sistemi i uređaji za praćenje proizvoda tokom životnog veka 2012 Fakultet tehničkih nauka, Novi Sad Serbian language
Finkenzeller, K. RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and near-Field Communication 2010 John Wiley & Sons, Chichester English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 50.00
Written part of the exam - tasks and theory No Yes 50.00
Lecturers:
API Image

vanr. prof. dr Šenk Ivana

Associate Professor

Lectures
API Image

prof. dr Ostojić Gordana

Full Professor

Lectures

vanr. prof. dr Tegeltija Srđan

Associate Professor

Laboratory classes

Faculty of Technical Sciences

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Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.