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Framework to Develop the Customized Tool for RFID Experiment

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Instrumentation Division Technical Session 2

Tagged Division

Instrumentation

Tagged Topic

Diversity

Page Count

11

Permanent URL

https://peer.asee.org/30536

Download Count

8

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Paper Authors

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Tae-Hoon Kim Purdue University Northwest Orcid 16x16 orcid.org/0000-0001-8595-7925

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Lash B. Mapa Purdue University Northwest

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Lash Mapa is a Professor in Industrial/Mechanical Engineering Technology at Purdue University Northwest (PNW). His undergraduate and graduate degrees are in Chemical Engineering. He has several years’ experience as a Chemical Engineer, Process and Project manager with European and U.S. manufacturing organizations. Currently, he is involved in the MS Technology program at PUC and has managed over thirty lean six sigma projects with manufacturing, service industry and educational institutions. He is a certified six sigma black belt and a certified quality engineer with ASQ

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Min Hye Jun Dongduk Women's University

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Abstract

Radio Frequency Identification (RFID) technology has been adopted and widely used in many applications including agriculture, forest industry, hospitals, highway transportation, and manufacturing industry. Due to its advantages such as tracking and real-time monitoring. RFID technology uses the tag to store limited data that can be read by RFID reader through the antenna. Passive RFID technology is commonly used in industry because of no power source requirement on the tag. Most of current RFID manufacturers provide the software that can help user to collect the data and control the reader such as transmission power. The data available from such a software is simple and limited to reading count of Electronic Product Code (EPC) number without the log. However, more factors are involving in RFID communication such as receiving signal strength, user data, and etc., which are not available at the providing default software. Besides the default software, manufacturer also provides several other resources such as modules that can be implemented to collect more data such as receiving signal strength, EPC value, and user data, control the reading rate and transmission power, and create a log. In this paper, we identify the collectable data and adjustable parameters. Then, we investigate the available resources by the manufacturer besides the software and illustrate the developed tool to collect the data such as success rate of EPC and user data readings. Then, we present the experimental setup and the results with various reading distances and angles. We also discuss how it can be implemented in class.

Kim, T., & Mapa, L. B., & Jun, M. H. (2018, June), Framework to Develop the Customized Tool for RFID Experiment Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30536

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