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All Journal International Journal of Electrical and Computer Engineering International Journal of Public Health Science (IJPHS) International Journal of Advances in Applied Sciences
Lidong Wang
Mississippi Valley State University
Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Health Professions Materials Science & Nanotechnology Mathematics Physics

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 1 
Testing of Radio Frequency Identification and Parameter Analysis Based on DOE Lidong Wang
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 1: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.679 KB)

Abstract

The maximum read range of a Radio Frequency Identification (RFID) system depends on a number of factors. In this paper, the maximum read ranges of an RFID system with a handheld RFID reader and another RFID system with a fixed RFID reader were tested when a tag was attached to different materials. Distinguishing factors that influence the maximum read range is important. A design of experiments (DOE) method was used to understand and quantify the relative influence of three factors (the antenna number, the tagged material, and the RF interference) on the maximum read range of the RFID system with a fixed RFID reader. The influences of the three factors and their interaction effects were classified by an order of importance. The methods in this paper also apply to the study of other RFID systems and determining the relative influences of other selected factors or parameters as well as other materials.DOI:http://dx.doi.org/10.11591/ijece.v4i1.5103
Iris Image Quality Testing and Iris Verification Lidong Wang
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 4: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The purpose of this study was to investigate the iris image quality and iris verification of eyes in brown, hazel, green, and blue, respectively, and the iris image quality and iris verification under different conditions such as the changed stand-off distances, the motions of the head and eyes, with glasses, and without glasses. A comparative study of three eye colors in brown, hazel, and green was conducted using a non-parametric method based on the H test. The H test results show that there is no significant difference in the iris image quality of eyes in brown, hazel, or green when the level of significance is 0.05.DOI:http://dx.doi.org/10.11591/ijece.v3i4.2769
The Effect of Force on Fingerprint Image Quality and Fingerprint Distortion Lidong Wang
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The purpose of this paper is to investigate fingerprint quality and quality problems due to nonlinear elastic distortion. The effect of force on fingerprint quality was studied using computation and analysis of the correlation coefficient r between the fingerprint quality score and force. The correlation analysis results show that fingerprint quality is significantly attributed to force. Based on the U test, a comparative study between male and female students about the fingerprint quality was conducted. At the 0.05 level of significance, there is a significant difference between male and female students in the fingerprint quality of the flat left thumb at a greater force level and in the fingerprint quality of the slap left fingers at all force levels.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2489
Applications of Automated Identification Technology in EHR/EMR Lidong Wang; Cheryl Ann Alexander
International Journal of Public Health Science (IJPHS) Vol 2, No 3: September 2013
Publisher : Intelektual Pustaka Media Utama

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Abstract

Although both the electronic health record (EHR) and the electronic medical record (EMR) store an individual’s computerized health information and the terminologies are often used interchangeably, there are some differences between them. Three primary approaches in Automated Identification Technology (AIT) are barcoding, radio frequency identification (RFID), and biometrics. In this paper, technology intelligence, progress, limitations, and challenges of EHR/EMR are introduced. The applications and challenges of barcoding, RFID, and biometrics in EHR/EMR are presented respectively.DOI: http://dx.doi.org/10.11591/ijphs.v2i3.3300
Machine Learning in Big Data Lidong Wang
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.12 KB) | DOI: 10.11591/ijaas.v4.i4.pp117-123

Abstract

Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.
Co-Authors Cheryl Ann Alexander