Sex: Male
Education
- Doctor of Philosophy in Electronics Engineering, Mapua Institute of Technology, ongoing
- Master of Science in Engineering major in Electronics Engineering, Polytechnic University of the Philippines, 2011
- Bachelor of Science in Electronics & Communications Engineering, Pamantasan ng Lungsod ng Maynila, 2003
Field of Specialization:
Data science and analytics
Electronics engineering
Researches:
Article title: Reduction of audio noise with lowpass chebyshev Type II filter simulated using GNU Octave
Authors: Reynaldo Ted L. Peñas II, Justine Clare T. Badajos, King Matthew P. Ochoa, Rex Albert P. Tejadilla
Conference title: 11th International Conference Humanoid Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM 2019) - Institute of Electrical and Electronics Engineers Inc. (IEEE) - Philippine Section, Fort Ilocandia Resort Hotel, Laoag, Ilocos Norte, Philippines, November 2019
Abstract:
Audio signal is one of the most used signals especially in the development of communication technology. One common audio signal is a human voice recording. In such signal, there is a segment called unvoiced recording. These segments were usually noise produced in the background or in the device used. This research proposes to simulate the removal of equipment and environmental noise in an audio using Digital Lowpass Chebyshev type II filter. Audio signal samples were gathered using a voice recorder device. The saved file will be filter using GNU Octave software. Then, the processed sound signals are amplified for higher power. The filter designed lowpass filter was expected to attenuate the passband in the frequency of 200 Hz with 10 dB and the stopband in the frequency of 250 Hz, 275 Hz, and 300 Hz with 40 dB. Among the three different specifications of the filter, the filter that has a stopband frequency of 300 Hz exhibits the lowest value of mean and median error.
Full text available upon request to the author
Article title: Real-time vehicle parking logging system with the use of multi-layered artificial neural network
Authors: Reynaldo Ted L. Peñas II, Vince Harold Altura, Bonifacio Macabanti, Francis Nikko Ricardo, Mcah Ella Uy
Conference title: 1st International TechnoFest 2018 Information Technology and Engineering Convention, FEU - Institute of Technology
Abstract:
No abstract
Full text available upon request to the author
Article title: Simulated digital bandpass butterworth filter for noise reduction in ElectroCardioGram signal
Authors: Reynaldo Ted L. Peñas II, Daniella Distor, Ralph Clarenz Matociños, Gio Paulo Quezada, Arlande Rivera
Conference title: 1st International TechnoFest 2018 Information Technology and Engineering Convention, FEU - Institute of Technology
Abstract:
No abstract
Full text available upon request to the author
Article title: A finite impulse response to Hilbert Transformer for audio input signals with a sampling frequency of11, 025 Hz
Authors: Reynaldo Ted L. Peñas II, Ma Cecilyne P. Arellano, Angelica G. Caunca, Adriane Marie Esguerra, Gene Lawrence B. Lai, Darren Audrick S. Ortiz, Samuelle T. Tacud
Conference title: 1st International TechnoFest 2018 Information Technology and Engineering Convention, FEU - Institute of Technology
Abstract:
No abstract
Full text available upon request to the author
Article title: A bandpass filter impulse response to hilbert transformer for audio input signals with a sampling frequency of 44,100 Hz
Authors: Reynaldo Ted L. Peñas II, Albert A. Caloracan, Geovin V. Manimtim, Lance Albert R. Mendoza, Eula E. Sarmiento
Conference title: 1st International TechnoFest 2018 Information Technology and Engineering Convention, FEU - Institute of Technology
Abstract:
No abstract
Full text available upon request to the author
Article title: Discrete choice modeling of modal shift in ridership of mass rapid transit line 3 upon introduction of bus rapid transit system along Epifanio Delos Santos Avenue
Authors: Reynaldo Ted L. Peñas II, Lance Joseph Esquejo, Matthew Gutierrez, Cendrick Anthony S. Mendoza, Renzo P. Roldan
Conference title: 1st International TechnoFest 2018 Information Technology and Engineering Convention, FEU - Institute of Technology
Abstract:
No abstract
Full text available upon request to the author
Article title: Design evaluation of microcontroller-driven temperature, humidity and soil moisture control system for the cultivation of pleurotus florida mushroom in a controlled-environment plant box
Authors: Reynaldo Ted L. Peñas II, Ino Lorenz Ardiente, Armando San Diego Jr., Bea Mariz Bilbao, Jovert Valenzuela II
Conference title: De La Salle University Research Congress 2017
Abstract:
The study focused on maintaining the optimal growing temperature, humidity and soil moisture conditions of the Pleurotus Florida mushroom contained in a 730 × 510 × 430 mm controlled environment box. The design of the temperature and humidity control mechanism, driven with an estimated first– and second–order transfer function and an on–off control algorithm, is composed of a microcontroller device connected to a DHT22 temperature sensor, a heating lamp, a humidifier, and a cooling fan. The soil moisture control mechanism, driven by its own estimated first– and second–order transfer function and an alternating switching control algorithm, is comprised of the same microcontroller inter–connected between an SEN0193 capacitive soil moisture sensor, and a water sprinkler. At an ambient temperature of 33.4°C, the system was able to increase or decrease (by approximately 4°C) the temperature of the plant box to 27.5°C. At an ambient humidity of 56%, the proposed device was able to reach the 94% relative humidity of the plant box within the duration of about five minutes. This response was observed to have taken place between 11:00am to 3:00pm, and the plant box material took 13 minutes to cool down. The actual maximum increase that the humidifier can achieve is as high as 29% relative humidity. This response took about 5 minutes using the on–off algorithm and has incurred a root–mean–square error of 6.241 × 10–5 or an equivalent 1.0489°C in a 30–minute stabilization duration. Considering a sampling interval of 12 microseconds, the rise time from 10% to 90% of the steady state value was observed to be at 485 microseconds with ±2% overshoot for the first–order approximation and 1,200 microseconds with 2.84% overshoot for the second–order approximation. The final prediction errors of the estimated transfer functions are 1.96×10–3 and 7.819×10–5 for the first– and second–order approximation respectively. Hence, the desired levels for temperature, humidity and soil moisture for optimal production of the said mushroom cultivated in a controlled–environment box can be simultaneously obtained by these results
Full text link https://tinyurl.com/3f23dpxj
Article title: A new continuous step-down DC-DC Converter
Authors: Reynaldo Ted L. Peñas II, Ren Marvin Chan, Gio Paulo R. Quezada, Ero S. Guiveces, John Carlo Limpin
Conference title: De La Salle University Research Congress 2017
Abstract:
No abstract
Full text available upon request to the author
Article title: Internal sound denoising for traditional stethoscope using inverse Chebyshev IIR Bandstop filter
Authors: Reynaldo Ted L. Peñas II, Andrien Vergel Vial, Alonzo Alterado
Conference title: De La Salle University Research Congress 2016
Abstract:
A stethoscope is a medical device for auscultation, or listening to the internal sound of the body. Heart auscultation is one of the most fundamental ways to evaluate heart function. The stethoscope can be used to auscultate respiratory sounds, lung sounds as well as heart sounds, and diagnose most of the cardiopulmonary disorders and other diseases. One of the factor that affects the internal sound measurement and analysis system in the traditional stethoscope is the ambient noise. Without the presence of the ambient noise, specifically the second and third heart sound which range from 1 to 10 dB, the primary heart sound can be heard at a power of -2 dB.
This research proposes to simulate the removal of ambient noise in a traditional stethoscope using an IIR Chebyshev II Bandstop filter. The internal sound acquiring system includes a traditional stethoscope, jacks for PC connection, an amplifier, and MATLAB R2013a software. First, the system records the internal sound data from traditional stethoscope, and the recorded data will transmit into a computer by using jack connection and save it in .WAVE and mp3 file. The saved file will be filter using MATLAB software. Then, the processed sound signals are amplified for higher power. Overall, the whole process is the digital filter design and then amplified for more power. This research aims to design and develop an Infinite Impulse Response (IIR) that can filter high frequency, since the second and third heart sounds range from 2 to 200 Hz which is higher than the first heart sound, to reduce these kinds of noise and make real-time digital signal processing. Also, this will increase the power of the first heart noise from -2dB to approximately 3 or 4 dB, which exceeds the mentioned range of the second and third heart sound. This filter aids the doctor in monitoring patient details accurately. Using this designed filter, patient can save his diagnosis and send to doctor for analysis.
Full text link https://tinyurl.com/465szjfp
Article title: Disaggregated electricity consumption baseline measurement of micro-, small, and medium enterprises in the Philippines, and behavioral response analysis to an intelligent energy management platform using real-time electricity monitoring with integrated analytics and recommendations engine
Authors: Reynaldo Ted L. Peñas II
Abstract:
No abstract
Full text available upon request to the author
Article title: Effect of rice husk ash as cement replacement in the compressive strength of hydraulic cement mortar cube
Authors: Reynaldo Ted L. Peñas II, Darla T. Ambas, Giovann Mikhael C. Dela Rosa, Lance Joseph Esquejo, Jomaris D. Gjil, Micah L. Magtalas, Cleo Jean D. Rubinas
Conference Title: 8th International Conference Humanoid Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM 2019) - Institute of Electrical and Electronics Engineers Inc. (IEEE)
Abstract:
This study introduces the use of Rice Husk Ash (RHA) as a cement replacement in testing the compressive strength of hydraulic cement mortar cubes. The sample cement and sand were acquired from a local hardware store and the RHA from rice mills of Bocaue, Bulacan. The sample mortars were molded from 2-in. cubes using a cement-sand ratio of 1:2.75 (1 part cement, 2.75 parts sand by weight). The samples were tested during its 15th day strength. Regression equations and correlation were obtained to provide the best fit curve that can be used in predicting the compressive strength of a cement mortar with RHA replacement. Other physical and chemical properties are not taken into notice in this study.
Full text available upon request to the author
Article title: Accuracy Improvement of ESPRIT-Extracted Direction-of-Arrival Estimates Using least mean-squares filter for passive RFID inventory application
Authors: Reynaldo Ted L. Peñas II and Jennifer C. dela Cruz, PhD
Conference title: 8th International Conference Humanoid Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM 2019) - Institute of Electrical and Electronics Engineers Inc. (IEEE)
Abstract:
This paper presents the use of least mean-squares filter to enhance the accuracy of the extraction of direction-of-arrival (DoA) estimates of a passive radio frequency identification (RFID) tag through Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) with a tag-reader system model that makes use of a two-element uniform linear array (ULA) in an inventory system. The use of the adaptive filter least mean squares algorithm (LMS), with step-sizes of 0.01, and 0.005, is designed to reduce the effect of backscattering noise and carrier leakage before extracting the DoA estimates by using the ESPRIT algorithm. The establishment of initialization in the simulation model done in MATLAB® involves random complex signals from angle measures negative 90 through positive 90 degrees measured on the broadside of the ULA. The addition of additive white Gaussian noise modeled as a random variable is included as the backscattered signal as it is received by the antenna array. The comparison of the results of the extracted estimates are done in reference to the actual DoA of the tag by measuring the difference in degrees as root-mean-square error. Simulated observations have also been executed in the case when signal-to-noise ratio (SNR) of the received signal is varied, and when the number of iterations of the filter is increased to present the speed of convergence of the estimates to the desired angle reading of the passive RFID tag.
Full text available upon request to the author
Article title: Statistical assessment on the charging and discharging cycles of five different brands of 700-mAh lithium ion mobile phone batteries
Authors: Reynaldo Ted L. Peñas II, Jasper T. Buenaflor, John Reniel S. Englis, Jude E. Mohamad, Moises John Paulo A. Pastoral, Charles Marc John B. Teston, Jason M. Volante
Conference title: 8th International Conference Humanoid Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM 2019) - Institute of Electrical and Electronics Engineers Inc. (IEEE)
Abstract:
No abstract
Full text available upon request to the author
Article title: Energy consumption behavior and analysis of residential households using real-time automated electricity monitoring and audit system
Authors: Reynaldo Ted L. Peñas II,
Abstract:
No abstract
Full text available upon request to the author
Article title: Assessment study of simulated per-building electrical energy consumption profile of Pamantasan ng Lungsod ng Maynila
Authors: Reynaldo Ted L. Peñas II and Evangeline P. Lubao
Conference title: De La Salle University Research Congress 2015
Abstract:
The Pamantasan ng Lungsod ng Maynila (PLM or also known as University of the City of Manila) is a premier local university that is subsidized by the City of Manila catering to marginalized but deserving students of the said city. Cost of electricity has been very expensive in the country recently that it has become one with the highest power rate in Southeast Asia. To aid the institution in assessing its expenditures in electricity, this paper presents a computer-simulated audit and calculation of energy consumption, in terms of kilowatt-hours, in each of the rooms and offices of PLM. A Pareto analysis is used to identify the types of equipment and the areas of the university that expends electrical energy. An analysis of cause-effect is also be utilized to recognize the factors that contribute to excessive power consumption. The result of the study has generated a simulated energy consumption footprint of the university and can be used as basis for recommending energy conservation measures to reduce the energy consumption cost.
Full text link https://tinyurl.com/4nydcdkx
Article title: Effect of varying the step-size of least mean squares filter in the accuracy of extraction of passive RFID Root-MUSIC Direction-of-arrival estimates
Authors: Reynaldo Ted L. Peñas II and Jennifer C. dela Cruz, PhD
Conference title: 7th International Conference Humanoid Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM 2019) - Institute of Electrical and Electronics Engineers Inc. (IEEE)
Abstract:
This work establishes the extraction of root-multiple signal classification (root-MUSIC) direction-of-arrival (DoA) estimates of a passive radio frequency identification (RFID) tag system with a reader that utilizes a two-element uniform linear array. The accuracy of the estimates can be improved by using an adaptive filter called least mean squares algorithm (LMS) to reduce the effect of noise and carrier leakage before the extraction is done. Through the use of a simulation, random complex signals are primarily set from angle bearings of -90 through positive 90 degrees, inclusive of carrier leakage and noise, characterized as additive, white, random, and Gaussian-distributed. The LMS filter, with step sizes of 0.008, 0.003 and 0.002, is designed to detect the deterioration of affected parameters of the complex signal in order to reduce the inaccuracy of the estimates as effects of the added distortion. The accuracy of the estimates are compared to the actual DoA of the tag by measuring the error in degrees and with respect to the variation of the step-size. Simulations have also been done to observe the effect of signal-to-noise ratio (SNR) of the received signal and the increase of the number of samples taken before extraction, in addition to the variation of the step size of the filter.
Full text available upon request to the author
Article title: Accuracy enhancement performance of least mean-squares filter on Root-MUSIC Direction-of-arrival estimates for passive RFID application
Authors: Reynaldo Ted L. Peñas II
Conference title: De La Salle University Research Congress 2014
Abstract:
The study aimed to enhance the accuracy of Root-MUSIC direction-ofarrival (DoA) estimates of a passive radio frequency identification (RFID) tag system with a reader that utilizes a two-element uniform linear array (ULA). The enhancement of accuracy was made by using an adaptive filter called least mean squares algorithm (LMS) to reduce the effect of noise and carrier leakage before extracting the DoA estimates through root-multiple signal classification (rootMUSIC) algorithm. Initially, through the use of a simulation in MatLab®, random complex signals from angle bearings negative 90 through positive 90 degrees are established, including noise and carrier leakage added and characterized as additive, white, Gaussian-distributed random variable. An LMS filter, with step sizes of 0.005, 0.002 and 0.001, was designed to reduce the inaccuracy of the estimates by filtering the distortion-afflicted complex signal obtained at the front end of the receiver of the model established. Results of the estimates were compared to the actual DoA of the tag by measuring the discrepancy in degrees as root-mean-square error. Observations have also been done in the case when signal-to-noise ratio (SNR) of the received signal was changed, or when the number of iterations of the filter was varied to show how the convergence of the estimates to the true bearing of the passive RFID tag behaved in accordance to the said variations. The LMS filter has been very helpful in reducing the error in extracting the estimates and the DoA estimates converged to its real value when the step size of LMS is 0.001.
Full text link https://tinyurl.com/yd4y49ef
Article title: Enhancement of the accuracy of Root-MUSIC Direction-of-arrival estimates recursive least-squares algorithm
Authors: Reynaldo Ted L. Peñas II and Engr. Ben B. Andres
Conference title: Annual University Research Colloquium, 2011
Abstract:
No abstract
Full text available upon request to the author
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