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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science ABDI SABHA (Jurnal Pengabdian kepada Masyarakat)
Nooritawati Md Tahir
Universiti Teknologi MARA
Religion Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Social Sciences

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Non-linear behavior of root and stem diameter changes in monopodial orchid Mohd Khairi Nordin; Mohammad Farid Saaid; Nooritawati Md Tahir; Ahmad Ihsan Mohd Yassin; Megat Syahirul Amin Megat Ali
Bulletin of Electrical Engineering and Informatics Vol 10, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i6.3191

Abstract

Precision agriculture aims to maximize yield with optimum resources. Vast majority of natural systems are acknowledged as complex and non-linear. However, prior to formulation of precise models, linearity tests are performed to validate plant behavior. This study has presented proof that the water uptake system in monopodial orchid is indeed non-linear. The change in physical growth of root and stem due to temperature and relative humidity factors are observed. The work focused on Ascocenda Fuchs Harvest Moon x (V. Chaophraya x Boots) orchid hybrid. Three complementary methods are presented: linearity tests through 1) regression fitting; 2) scatter plots; and 3) cross-correlation function tests. Root diameter, stem diameter, temperature, and relative humidity are logged at 15 minutes interval for a duration of 71 days. The polynomial equations derived for root diameter and stem diameter changes attained strong regression coefficients. The non-linear behavior is further confirmed by the scatter plots where no linear associations are present between the independent and dependent variables. Subsequently, the cross-correlation function tests conducted on temperature-root diameter, temperature-stem diameter, relative humidity-root diameter, and relative humidity-stem diameter combinations also revealed weak correlation. Despite using different techniques, the behavior of physical changes has been consistently proven to be non-linear.
Review on anomalous gait behavior detection using machine learning algorithms Hana’ Abd Razak; M. Ahmed M. Saleh; Nooritawati Md Tahir
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.793 KB) | DOI: 10.11591/eei.v9i5.2255

Abstract

A review on anomalous behavior in crime by other researchers is discussed in this study that focused specifically on the linkage between anomalous behaviors. Next, comprehensive reviews related to gait recognition in utilizing machine learning algorithms for detection and recognition of anomalous behavior is elaborated too. The review begins with the conventional approach of gait recognition that includes feature extraction and classification using PCA, OLS, ANN, and SVM. Further, the review focused on utilization of deep learning namely CNN for anomalous gait behavior detection and transfer learning using pre-trained CNNs such as AlexNet, VGG, and a few more. To the extent of our knowledge, very few studies investigated and explored crime related anomalous behavior based on their gaits, hence this will be the next study that we will explore.
Co-Authors Abdul Rahim Bin Ridzuan Abdullah Ahmad Ihsan Mohd Yassin Aisyah Hartini Jahidin Arridina Susan Silitonga - Che Zawiyah Che Hasan Cholish Fadhlan Hafizhelmi Kamaruzaman Hana’ Abd Razak Haq, Moh Zainul M. Ahmed M. Saleh Maharani Putri Megat Syahirul Amin Megat Ali Mohammad Farid Saaid Mohd Khairi Nordin Mohd Nasir Taib Pius Fernando Hutauruk Priansus Rhein Rumahorbo Rohilah Sahak Rohilah Sahak Rozita Jailani Suprianto