Seminars and Trainings

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Review of Complex Engineering Problems
Awarded by FEU Tech College of Engineering on August 12, 2024
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Data Privacy Act Awareness Seminar
Awarded by FEU Tech Human Resources Office on August 07, 2024
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Enhancing Physical and Mental Resilience in the Workplace
Awarded by FEU Tech Human Resources Office on August 05, 2024
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Nanolearning: Bite-Sized Content as the Next Big Trend in Contemporary Education
Awarded by Educational Innovation and Technology Hub on December 12, 2023
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Tech-Enabled Pedagogies: Empowering Modern Teachers with Educational Technologies
Awarded by Educational Innovation and Technology Hub on August 09, 2023
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Conference Paper · 10.1109/3ICT64318.2024.10824434
ARMeD: Revolutionizing Assistive Rehabilitation Monitoring2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), (2024), pp. 595-600
Stroke, a leading cause of brain-related illnesses and mortality, occurs due to the blockage of blood flow to the brain or the rupture of blood vessels, leading to brain damage and long-term disability. A common consequence is weakness or paralysis, such as left-sided hemiplegia, which significantly impacts independence and daily activities. As technology advances, there is a growing need for innovative solutions to enhance the rehabilitation journey and empower stroke survivors to regain arm function. Traditional rehabilitation methods, often reliant on physical therapy and Neuromuscular Electrical Stimulation (NMES), may not fully optimize upper limb recovery, and accessibility to these treatments poses challenges, especially for patients with mobility issues. The ARMeD (Assistive Rehabilitation Monitoring Device) addresses these challenges by integrating NMES with Passive Range of Motion (PROM) during rehabilitation. This groundbreaking device, accessible via an Android app, allows patients to undergo rehabilitation from home while enabling physical therapists to monitor their recovery progress effectively.

Conference Paper · 10.1109/HNICEM60674.2023.10589229
Visual Acuity Assessment Device for Mute and/or Deaf-Mute Individuals2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
This paper is introduced as an exploration of how to utilize advanced technology and computing can assist individuals who are mute and/or deaf-mute individuals. It recognizes the rapid progress in technology and computing, which opens up opportunities to address the unique needs of this particular group. The research question addressed in this paper is how we can use accurate time sign language recognition to assist people suffering from mutism and deafness to make the healthcare system more inclusive and accessible to them, especially when taking visual acuity assessments which is normally needed for acquiring eyeglasses. The system comprises a microprocessor unit and a Python-based program that is used to facilitate the visual acuity assessment properly and accurately. The keyfindings of this paper suggest that realtime sign language recognition technology can significantly improve the healthcare experience for individuals who are suffering from mutism and deafness by facilitating communication and reducing barriers to access facilities for eye health care to person with disability like person who are mute and deaf. The study also highlights the need for further research and development so as to improve the accuracy and efficiency of sign language recognition technology for people who are mute and deaf.

Conference Paper · 10.1109/HNICEM60674.2023.10589154
IoT-Based Energy Management and Power Outage Detection System for Commercial Buildings2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6
As the Philippines advances industrially, the nation's demand for electricity is soaring. In response to this challenge, the proponent seeks to devise an Internet-of-Things (IoT) solution that addresses the imbalance between electricity supply and demand through a cost-effective yet highly accurate energy management system for commercial and industrial sectors. The idea is to curtail energy consumption by enabling building managers to remotely control shared area resources, thereby resulting in a corresponding decrease in energy expenses. The designed prototype will also encompass a feature for power interruptions both blackout and brownout detection and notification, which will allow building supervisors to implement electrical outage procedures during necessary circumstances. When power is restored, the system will initiate a “rolling” procedure to prevent sudden load spikes on the power grid by first restoring power to areas known for lower current draw. This approach differs from the typical scenario where, after a blackout, all devices power on at once when service is restored, escalating the risk of another brownout or potentially even an electrical fire due to an overloaded grid. In the event of a power outage, the system will rely on an alternate power supply to maintain its operation. The envisioned product is designed to be portable and transferable, meaning it can be conveniently installed in any commercial building and relocated as required. Moreover, the design contemplates a scenario where several such prototypes can be placed within a single building and individually controlled remotely via web application.

Conference Paper · 10.1109/HNICEM60674.2023.10589148
(Digital) Reading Free Vocational Interest Inventory Testing Tool2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-4
Human curiosity and the pursuit of areas of interest are fundamental drivers of exploration and skill development. One avenue for understanding vocational interests is the Reading-Free Vocational Interest Inventory Third Edition (RFVII-3), particularly relevant for individuals, including those with mental disabilities. The RFVII-3 assesses vocational interests and aligns individuals with specific vocational clusters. However, its traditional face-to-face, one-on-one administration, and manual scoring present significant challenges, consuming approximately 1.5 hours. This paper presents a novel approach to streamline the RFVII-3 assessment process by developing a digital prototype. This device captures and scores RFVII-3 item images selected by examinees, instantly aligning them with relevant vocational clusters. The result is generated in less than five seconds after completing the last item, effectively expediting vocational interest assessment. This innovative technology promises to enhance the efficiency and accessibility of vocational interest assessment, particularly benefiting individuals with intellectual disabilities.

Conference Paper · 10.1109/HNICEM60674.2023.10589062
Flash'n Alert-Handheld Self-Defense Warning Device with Integrated Alarm System2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-5
Personal safety is paramount in today's society, where crimes like theft and assault are prevalent. However, many self-defense tools are inaccessible or impractical for everyone. This creates a demand for innovative, user-friendly tools that can provide reliable protection in emergency situations. The Flash'n Alert, a handheld warning device with an integrated alarm system designed to empower individuals to protect themselves effectively. The Flash 'n Alert is a handheld device designed and developed with an activation button as input to the microcontroller that will trigger the four emergency modules - LED for high-intensity flashing of light, speaker for loud alarm, GPS to determine the location of the incident and GSM to send SMS to emergency contacts. This device combines a high-intensity flashing light with a loud alarm, deterring potential attackers and alerting nearby people in emergencies. When activated, the device emits a blinding flash that disorients attackers and provides an opportunity for escape. The accompanying alarm system grabs attention and signals an emergency in progress. Notably, the Flash 'n Alert also notifies emergency contacts, making it invaluable when the user is unable to call for help. With a simple activation button, this device is effortless to use. And with its two rechargeable battery feature, the Flash'n Alert is cost-effective and eco-friendly, ensuring it remains ready for use with its long-lasting battery life.