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Haptic Feedback to Detect Obstacles in Multiple Regions for Visually Impaired and Blind People

Aaron Raymond See, Leonheart Van M. Costillas, Welsey Daniel C. Advincula, Nilo T. Bugtai
2021 Sensors and materials  
Nilo T.  ...  Bugtai holds a B.S. degree in mechanical engineering from the University of San Jose -Recoletos, Cebu City, Philippines, an M.S. degree in manufacturing engineering as a DOST-PCIERD Scholar from De La  ... 
doi:10.18494/sam.2021.3221 fatcat:ozxsqpa22jesnonhs42y6qjxze

Quality Assessment and Prediction of Philippine Mangoes: A Convolutional Neural Network Approach

Carlos Matthew P. Cases, Annamitz A. Rapliza, Francisco Emmanuel T. Munsayac Jr. III, Nilo T. Bugtai, Robert Kerwin D. Billiones, Renann G. Baldovino
2019 International Journal on Advanced Science, Engineering and Information Technology  
Philippines is one of the world's leading exporter of mangoes. The country produces many varieties of mangoes, one of which is the 'Carabao' mango. Several metric tons of mangoes are produced, and these have to be checked for defects before entering the market. With recent advances in technology, it has become efficient and relatively easy to use for these applications. The objective of this paper is to present a non-destructive method to check the quality of mangoes using computer vision (CV)
more » ... nd convolutional neural network (CNN) with a minimal number of samples. An experimental setup was created to simulate a production line. A webcam was used for capturing images of the mangoes, while a mini computer was used for controlling the peripherals. As basis for categorizing the mangoes as either good or bad, the Philippine National Standard (PNS) for mangoes was used. A basic background subtraction algorithm was used to extract the mango's image. With these extracted images, a 2-category network was trained, and the achieved classification accuracy was 97.21%. The goal of having a high accuracy in classifying mangoes was achieved. There are multiple paths to explore in the future, including additional feature extraction methods, different neural networks, and hardware improvements, in order to speed up the sorting process. Moreover, it may be necessary to be able to identify mangoes with only slight defects to be used for other products, such as dried mangoes, to reduce product wastage.
doi:10.18517/ijaseit.9.6.9951 fatcat:aa3nkfch2vc6hkmwaisk2fazfe

Trends in telemedicine utilizing artificial intelligence

Danica Mitch M. Pacis, Edwin D. C. Subido, Nilo T. Bugtai
2018
With the growth and popularity of the utilization of artificial intelligence (AI) in several fields and industries, studies in the field of medicine have begun to implement its capabilities in handling and analyzing data to telemedicine. With the challenges in the implementation of telemedicine, there has been a need to expand its capabilities and improve procedures to be specialized to solve specific problems. The versatility and flexibility of both AI and telemedicine gave the endless
more » ... ities for development and these can be seen in the literature reviewed in this paper. The trends in the development of the utilization of this technology can be classified in to four: patient monitoring, healthcare information technology, intelligent assistance diagnosis, and information analysis collaboration. Each trend will be discussed and presented with examples of recent literature and the problems they aim to address. Related references will also be tabulated and categorized to see the future and potential of this current trend in telemedicine.
doi:10.1063/1.5023979 fatcat:ynnnilolqje6vj6dtbnrlsgcfq

Strengthening BME in southeast asia [Around the World]

J. Webster
2007 IEEE Engineering in Medicine and Biology Magazine  
Bugtai (DLSU, Manila) bugtain@dlsu.edu.ph; or Tresna Soemardi (University of Indonesia, Jakarta) tresdi@eng.ui.ac.id.  ...  attaining more information should contact project coordinator Arti Ahluwalia (University of Pisa), Arti.Ahluwalia@ing.unipi.it; Mannan Mridha (Royal Institute of Technology, Stockholm) mannan@kth. se; Nilo  ... 
doi:10.1109/memb.2007.289113 fatcat:n5ayq5hdujgvdczitxxxcczcv4

ICITEE 2020 Committees

2020 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)  
Baldovino (De La Salle University, Philippines) Bundit Thanasopon (King Mongkut`s Institute of Technology Ladkrabang, Thailand) Nilo T. Bugtai (De La Salle University, Philippines) Mohd.  ... 
doi:10.1109/icitee49829.2020.9271707 fatcat:w3625lzj7vgzrdzjidstnjalce

Table of Contents

2020 2020 3rd International Conference on Biomedical Engineering (IBIOMED)  
Baldovino (De La Salle University, Philippines); Nilo T.  ...  Bugtai (De La Salle University, Philippines) IB-10 Joint Dice and Intersection over Union Losses for Deep Optical Disc Segmentation 49 Latifah Listyalina (Universitas Respati Yogyakarta, Indonesia  ... 
doi:10.1109/ibiomed50285.2020.9487609 fatcat:ywagudlxsjf6zloftkhjxleefi

Performance Improvement of Roller Burnishing Process– A Review

Priyanka S. Yadav, Dayanand A. Ghatge
2017 IARJSET  
.  Number of passes: With increase in number of passes, surface roughness decreases while hardness increases.[6] 7) Tao Zhang, Nilo Bugtai, Ioan D.  ... 
doi:10.17148/iarjset/ncdmete.2017.34 fatcat:shbhyhkcrjhjbielsdfq2gthki

Comparing Different Machine Learning Techniques for Classifying Multi Label Data

Shriya Salunkhe, Department of Computer Engineering, D.J.Sanghvi College of Engineering Mumbai, India., Kiran Bhowmick, Department of Computer Engineering, D.J.Sanghvi College of Engineering Mumbai, India.
2021 Journal of University of Shanghai for Science and Technology  
Baldovino, and Nilo T. Bugtai in [5] Paper proposed a system application for the multilabel classification of pH levels. The pH could be a measure of whether a substance is acidic or basic.  ... 
doi:10.51201/jusst12525 fatcat:gyj3rl5iarhqzo7opofu3ll6i4

Survey on Interactive Chatbot

Mrs. R. Dharaniya
2020 International Journal for Research in Applied Science and Engineering Technology  
Carranza, Joshua Manalili, Nilo T. Bugtai, and Renann G.  ... 
doi:10.22214/ijraset.2020.6277 fatcat:qbsry4t6pjhorjyrvwe6tnknpa

Extrusion of Multi-Material Components

Nooman Ben Khalifa, Annika Foydl, Daniel Pietzka, Andreas Jäger, A. Erman Tekkaya
2014 Volume 2: Processing   unpublished
Marinescu, and Nilo T.  ...  Bugtai Development of Novel Long-Life CBN Grinding Wheel at High Efficiency Condition Kouichi Yoshimura, Akihiro Mizuno, Takeshi Mishima, Kazumasa Yoshida, Hiroshi Hoshino, Technological Heredity and Accuracy  ... 
doi:10.1115/msec2014-4197 fatcat:64w4mqlrwrh5vg6b2wropxe5fe