Voice-Operated Adjustable Power Supply
Meryll Clarisse Salape
College of Engineering Education,
Electrical Engineering Department
University of Mindanao
Davao City, Philippines
m.salape.484822@umindanao.edu.ph
Christian Kaye Cabalit
College of Engineering Education,
Electrical Engineering Department
University of Mindanao
Davao City, Philippines
c.cabalit.468183@umindanao.edu.ph
Abstract— Since speech recognition implementations are on
the rise, the researchers thought of integrating speech recognition
in collaboration with the power supply unit to utilize a laboratoryfriendly device and enhance the knowledge embedded in this
study. Power Supply is commonly used at laboratories mainly to
be studied and used as a tool in laboratory activities. This study
designed and developed an operational power supply with only
five fixed outputs, specifically, 120 Volts, 220 Volts, 230 Volts, 240
Volts, and no output using IoT technology. The outputs are based
on Circuits 3 Activity Manual for Electrical Engineering
Laboratories. The device is composed primarily of an
Autotransformer, with an ESP-WROOM-32 module and an
Arduino Nano Microcontroller. The program used in the system
is the Arduino and IFTTT platform. The plug connection is on
zero and 220 Volts. By using a smartphone or tablet linked to the
device, google assistant will recognize voice commands and with
the help of the ESP-WROOM-32 module which manages internet
connectivity via an integrated WIFI module. The percentage
accuracy of the device after testing is 95%.
Keywords—
Speech
Recognition,
Voice
Autotransformer, IoT Technology, Power Supply
Command,
I. INTRODUCTION
As the world changes rapidly, one of the fascinating things
our generation brought us was the availability of having the
coolest accessories we could ever have. May it be the latest
gadgets or appliances, one thing is for sure, it made much
difference from what our ancestors perceived it on how the
world works at the digital age. It helped us save time and drove
us to be more productive. One of the top trends we are raving
about in this generation is voice-operated devices. A rising
number of devices will be speech-operated soon, wherein voice
commands for existing devices become essential. Moving away
from the traditional methods such as keyboard or switches to
control different kinds of device, it might seem to be
complicated to use but voice control is considered as one of the
easiest ways to give input commands. Given that voice inputs
are far more efficient than typing, voice recognition technology
is being incorporated into more tools and gadgets to simplify
life [1].
With the anticipation from previous studies, the researchers
switched from the Arduino-based speech converter to IoT
Technology since its storage is limited due to its small memory,
which means limited users can use the device. In contrast, IoT
technology allows electronic gadgets and sensors to
communicate over the internet to permit many users. The
Internet of Things (IoT) has transformed traditional lifestyles
into high-tech ones [2]. As a result of these development, this
opened the door for researchers to investigate, numerous
Gabriel Louis Diomampo
College of Engineering Education,
Electrical Engineering Department
University of Mindanao
Davao City, Philippines
g.diomampo.464037@umindanao.edu.
ph
applications in the electrical engineering area that have been
enhanced.
MD Ohirul Qays et al. [3] illustrated a monitoring technique
for hybrid renewable energy‐based power sources through
Wi ‐ fi. An IoT ‐ based SCADA of PV ‐ wind ‐ battery
combined system has been introduced to monitor and control
the individual components remotely. For cost ‐ effective
design, they used a low ‐ cost electronic components and
Arduino Integrated Development Environment ATMega2560
remote terminal unit are employed to develop a hardware
prototype for experimental analysis.
Aghenta and Iqbal [4] implemented a low-cost, Open-Source
SCADA system using Thinger.IO local server IoT platform as
the MTU and ESP32 Thing micro-controller as the RTU.
SCADA architectures have evolved from monolithic (standalone) distributed and networked architectures to the latest
Internet of Things (IoT) architecture. The SCADA system
proposed in this work is based on the Internet of Things
SCADA architecture, which incorporates web services with the
conventional (traditional) SCADA for a more robust
supervisory control and monitoring. It comprises analog
Current and Voltage Sensors, the low-power ESP32 Thing
microcontroller, a Raspberry Pi microcontroller, and a local
Wi-Fi Router.
Silmee and Hosen [5] discussed about IoT, Smart Grid and
their relationship, IoT integrated Smart Grid Technology, IoT
architectures in Smart Grid, IoT applications and services in
Smart grid, challenges, and future research directions for the
IoT integrated Smart Grid.
Carine Zaraket et al [6] discussed both the performance of
LoRaWAN in a real-world environment and its deployment as
a low-cost, long-range, and reliable last-mile solution for
energy smart metering in urban area scenario where a shortrange solution may not be the optimum one. Their purpose is to
integrate the new IoT technology to the existing traditional
energy meter’s set up in developing countries like Lebanon, to
accelerate the communication between the meter and the utility
in near real-time this is by including the Automated Meter
Reading (AMR) infrastructure and to provide the consumer
with feedback of its real-time energy consumption.
A. Salisu et al [7] focused on the design and implementation
of an IoT based household electricity energy monitoring and
electric bulb remote control for the reduction of electrical
wastage using ESP 32-bit microcontroller. The ESP32
microcontroller also handles the internet connectivity via its
inbuilt WIFI module to transmit the real-time energy
consumption, temperature reading, and electric bulb remote
control over the internet.
A. R. Gad et al. [8] stated that the internet of things (IoT) is
a collection of common physical things which can
communicate and synthesize data utilizing network
infrastructure by connecting to the internet. IoT networks are
increasingly vulnerable to security breaches as their popularity
grows.
Y. Shehu et al. [9] designed a voice activated wheelchair is
one which receives the user’s voice command as input and
gives an output by moving in a specified direction
corresponding to the input command. The implementation
process is based on building a voice activated wheelchair that
can be controlled using microcontroller and voice recognition
module to facilitate the movement of the handicapped as well
as elderly people who are unable to move well. The wheelchair
was designed and constructed using ELECHOUSE VR3
module interfaced with Arduino Uno AVR ATMega328p
microcontroller circuit and Direct Current (D.C) motors to
actuate its movement. The programming was achieved using C
programming language in Arduino platform.
Autotransformers: They are frequently used in electrical
apparatus testing laboratories since the voltage can vary
smoothly and continuously. It is more efficient compared to
conventional transformers and has a relatively small size. Less
copper is used for its design and construction, which means a
lower cost [10].
ESP32-WROOM-32: This is a powerful, generic Wi-Fi +
Bluetooth + Bluetooth LE MCU module that targets various
applications, ranging from low-power sensor networks to the
most demanding tasks, such as voice encoding, music
streaming, and MP3 decoding [11].
Arduino Nano Microcontroller: This is a small, complete,
and breadboard-friendly board based on the Atmega328
(Arduino Nano 3.x.) that works with a mini-B USB cable
instead of a standard one. This has several facilities for
communicating with a computer, another Arduino, or other
microcontrollers and can be programmed with the Arduino
software [12].
If This, Then That (IFTTT): This is a software platform that
connects apps, devices, and services from different developers
to trigger one or more automation involving those apps, devices,
and services. The automation is accomplished via applets —
which are sort of like macros that connect multiple apps to run
automated tasks [13]. This platform was used as a bridge to link
the module used and IoT technology.
In extending successes in the field focusing on conjunctions
with the rising development of voice implementation with
intelligent technology, the proponents intend to pursue this
innovative device. Dominations of high technology are an
inevitable scenario and an opportunity to upgrade the device
that is highly important for electrical engineering students.
Hence, it will help the proponents understand the fundamentals
of its applications. Like any other emerging technology, speech
recognition faces many challenges, including creating the most
powerful user interface and improving response accuracy. We
know the difficulties, which are inaccuracy due to incorrect
response and ambient noise interference. We will address the
issue by having fixed seven speech commands only. It is
advantageous since the device relies only on the given
laboratory manual. Also, prior studies stated that intending to
detect noise under 50 decibels for the device to act upon a
command word/phrase. The device can use the system in noisy
environments once an ambient noise level has been established
detect noise under 50 decibels for the device to act upon a
command word/phrase. The device can use the system in noisy
environments once an ambient noise level has been established.
[14]. The device will solely focus on the effectiveness of having
a speech recognition feature for a power supply. In building the
power supply, the researchers will use an autotransformer,
which is much cheaper than conventional double-wound
transformers of the same VA rating. They are more efficient,
smaller in size, and use less copper in their production [15].
Variacs will be included in the design, offering a variable AC
supply, and are particularly useful in electrical and electronics
workshops and labs. However, the device must use proper fuse
protection to guarantee that the transformer is safe from
overloading [16].
The goal is to produce a well-performing Voice-Operated
Power supply that can be useful during laboratory experiments.
Following that, the researchers designed and fabricated an
autotransformer with fixed-tapped outputs connected to a smart
module (ESP32-WROOM) and a microcontroller (Arduino
Nano) that manages data from speech driven by the IoT server.
The proponents prioritized the function testing to attain its
purpose of producing effective and close to accuracy.
To pursue this study, it is significant for the users to
understand further the difference between the usual power
supply that has been used in laboratories and the new feature
enhanced in a Voice-Operated Power Supply. Using the
combination of electronics in an electrical apparatus will help
promote its importance to the potential users. Having speech
recognition on board with the power supply in laboratories
helps increase productivity in every experiment. This can
significantly enhance user skills and obtain information on
essential elements of phonemic awareness. The device can
provide efficiency in every task given in a minimal amount of
time.
The power supply will be plugged into 220v, 60hz outlet.
The device is housed in a 37x26x23 cm metal frame with the
installed module and microcontroller for the added biometric
characteristics. For supplying AC power to a voltage load, the
device will accept and analyze speech sounds that will be
converted to electrical signals that is computer-readable.
These will repeat until it confirms the input speech sound,
then producing at least one output signal. It can only recognize
sound from 50 decibels and above. The device has been
programmed with seven outputs which are “Power/Device ON”,
“Power/Device OFF”, “set voltage: 120, 220, 230, 240”, and
“No Output”, in accordance with the Electrical Engineering:
AC laboratory manual. For wrong commands, the LCD’s
device will display the results of the previous command and
buzz for notification.
II. MATERIALS AND METHODS
A. Conceptual Framework
The concept of this study is briefly illustrated in Figure 1.
Voice command is the input of the study. The given command
will be analyze by goggle assistant. The relays which blocks the
flow of the voltages will be controlled by Arduino Nano. After
analyzing the given data, the microcontroller will then take
action by opening one of the relays according to the given
command. Unregistered voice command will keep the relays
close or retain its state based on to the previous command.
Fig. 1 Conceptual Framework
The parameters of the device operation for optimal results
are utilizing smartphone or tablet for transmission of the voice
command, limiting the number of people giving the command
into one, making sure that the SSID and password of the
internet provider matched what is programmed in the device.
To decide which of the two designs will be employed in the
creation of the device, a trade-off analysis was conducted. The
five constraints environmental, economic, manufacturability,
sustainability, health, and safety—were the foundations for the
designs that were ultimately produced. The Pugh matrix was
utilized to assign values to two designs, and the topmost design
was used in this investigation. In this paper's Appendix B, there
are tables and analyses for all calculations.
B. Materials and Resources
This research will use materials and equipment that are
necessary in building a basic power supply, with the addition
of a speech recognition module for speech command controls.
ESP-WROOM-32 is a powerful, generic Wi-Fi+BT+BLE
MCU module that targets a wide variety of applications,
ranging from low-power sensor networks to the most
demanding tasks, such as voice encoding, music streaming and
MP3 decoding, it will be used as the receiver for speech
commands [18]. We used a microcontroller and connecting
wires to manipulate the hooked-up sensors and switches. Based
on the ATmega328, the Arduino Nano is a compact,
comprehensive, and breadboard-friendly board [19]. The
autotransformer is the main resource that will allow for voltage
variation. Relay switches connected to the Arduino and to the
autotransformer served to close circuits on which
autotransformer tapping will be closed. The LCD displays the
values outputted. A buzzer is installed to alert the user of
whether the device has recognized a command or not.
C. Hardware Design of the System
The design for the autotransformer was decided to only have
a set number of outputs, specifically five, to make the machine
learning process and having accurate results more plausible. An
autotransformer can be a step-up, step-down, or variable. For
this study, the researchers have designed a variable
autotransformer, which could function either as a step-up or a
step-down autotransformer. This was decided as the standard
outlets in the Philippines is 220V and we have outputs both
higher and lower than this value. The selected output voltage
values were chosen in accordance with what the common
required voltages in the Electrical Engineering laboratory
workbooks are.
For this system to work, there are two required inputs. First,
the device should be plugged into a 220V 60 Hz supply voltage
which is standard to all sockets in the Philippines. This supply
voltage is connected to the autotransformer with five output
voltage, namely 0V, 120V, 220V, 230V, and 240V. The
researchers opted for such fixed voltages rather than the more
common autotransformer configuration with variable voltages
ranging from zero to the maximum voltage allowable by the
design with the machine learning side of the system kept in
mind; too many output options would have made the process a
lot less likely to work properly and would consume much more
time in the development process as this means that the voice
recognition system will have to recognize at least two hundred
and forty commands. Upon the assembly of the internal
components, the device housing was designed. Since it will be
cubic in shape, it just had to be big enough to house all the
internal components without cramping them all up inside. To
avoid any external charges or unnecessary grounding, and to
dampen any vibrations, the housing's walls were lined with a
rubber mat. The rubber mats were fitted flush inside the steel
sheet housing. After fitting the inside with the mat, holes were
bored and cut to accommodate the power supply input, LCD,
ventilation, and binding posts. As the material used was steel
sheet, it was completed easily.
Originally, the design for the microphone would use a wired
module. However, after multiple tests, the system could not
accurately distinguish and register commands. This is caused
by the long wire's impedance. With this in consideration, the
researchers opted for the wireless speech recognition module
that the system is now making use of. The module and a
smartphone will be connected to the same network, the user
commands the system through google voice, the commands
will be sent through the IFTTT where it is converted into a
signal that the ESP can understand. This is then sent to the
Arduino. The Arduino sends signals to close the appropriate
relay to output the specified output voltage. Second, would be
the voice control system. For this part of the system to work,
both the device and a smart phone or tablet must be connected
to the same network. Then, through google assistant, we can
communicate with the voice recognition module, the ESPWROOM-32, by employing IFTTT. After the voice module has
received the instructions from the smart phone or tablet, it
relays a signal to the Arduino Nano which is programmed,
through the Arduino IDE, to output a few things. If the inputted
command is not among the listed commands, then the device
would not do anything. However, if the given command is
among the list of commands, then the Arduino Nano will send
signals to a) make the buzzer beep, b) display on the LCD the
accepted output voltage, c) close the corresponding relay in the
voltage output part of the device. In the output part of the
system, once the Arduino has received a valid command and
has sent a signal to the relay, closing it, and thus completing the
circuit from the autotransformer to the output jacks located at
the front of the device through a binding post.
Fig. 3 Server Function Block Diagram
Fig. 4 shows the flow of how the microcontroller controls
the Relay board, buzzer, and LCD. The voice command data as
discussed in the previous section is converted by the IFTTT so
that ESP-WROOM-32 can recognize the data and then deliver
it to the Arduino Nano. The buzzer beeps after receiving a valid
voice command. The state and the output voltage of the power
supply device is shown in the LCD. The relay board is
controlled by the Arduino Nano. Unregistered voice command
takes no effect on the relay board, buzzer, and LCD.
Fig. 4 Arduino Nano Function Block Diagram
Fig. 5 illustrates the process of controlling the voltage
outputs by the use of relays. Arduino nano controls all the five
relays. A relay is opened when it matches the given voice
command. Only one relay is opened at a time.
Fig. 2 Hardware Design Block Diagram
D. System Process Flow Chart
In figure 3, a diagram is presented to convey the process of
converting a voice command into a data. In this development
research, the voice command performs an essential part of the
system process. A smartphone is used as a voice recognition
module with the help of Google Assistant. A voice command is
given to the phone and then the google assistant will recognize
the command and send the data to the server. The data delivered
in the server transfers to the IFTTT. IFTTT converts the data of
the given voice command so that ESP-WROOM-32 can
understand the command. After receiving the converted data
from IFTTT the ESP-WROOM-32 will transfer it to the
microcontroller. The microcontroller is programmed to accept,
reject, and do certain actions in the power supply.
Fig. 5 Relays Function Block Diagram
A system process flow chart is shown under Appendix D.
The process starts from giving a voice command. The
recognition module will receive the command. If the command
states that the device should be turned on the flow proceeds by
turning on the device otherwise it will return to the state in
which the device awaits a new command. After turning on, the
machine is ready to take in voltage commands. The user has
five options for voltage output, in accordance with voltage
requirements from the EE laboratory experiments. The module
recognizes the command using internet and then activates the
control system assembled around the autotransformer. Upon
turning on of the power supply, the display and output voltage
starts with zero volts. Voice commands that aren’t included in
the program makes the machine do nothing. When a
recognizable command is given, the microcontroller controls
the switches connected to the autotransformer to output the
desired voltage.
E. Function Testing
In the testing of the functionality of the operation of the
voltage switching, each of the autotransformer tapping points
were tested with the multimeter. Each of the relays were tested
to see if they open and close switches as per command. After
connecting all the wirings, the output ports were tested for
connectivity. The voice recognition was tested as to how
accurately it can pick up commands. After every command, the
output voltages were tested using a multimeter for output
accuracy in reference to the stipulated output voltages. After
testing the functionality of each operation, the confusion matrix
was utilized. The confusion Matrix was used for data analysis
to get the summarized data. A 95% significance level is
considered a universal benchmark for statistical significance
[20].
Researchers followed the IEEE 3003.2 Recommended Practice
for Equipment Grounding and Bonding. Discussion of the goals
of grounding and bonding of equipment, including minimizing
the risk of electric shock to workers, having sufficient currentcarrying capacity for ground faults, and ensuring timely
overcurrent security activity are covered in this standard. For
voice recognition ISO 30122-2:2017 was followed. It provides
the technical criteria and test methods of voice commands and
its speech recognition engine. The technical criteria include the
phonetic requirements for spoken words or phrases that
compose the voice command.
III. RESULTS AND DISCUSSIONS
A. Design of the Voice-Operated Adjustable Power Supply
The frame of the device is 37x26x23 cm. Steel sheets are cut
and bent into shape and are held into place using rivets for good
fixture and lightweight-ness. Holes for vents, power supply,
output ports, LCD are then cut to spec.
The fabrication of the device started with the designing
process. As this is a power supply unit, the main component is
the output unit, the autotransformer. A variable autotransformer
is able to output varying voltages depending on what the user
sets it to be. In the case of this research, as it involves voice
commands, the researchers have decided to limit the number of
output voltages to five. This was decided upon to limit the
challenges posed by machine learning. The Autotransformer is
specified to output 0V, 120V, 220V, 230V, and 240V. After
designing the autotransformer to have five fixed output voltage,
contrary to the knob-type adjustable autotransformer, the
researchers built the autotransformer. Magnetic wire was
wound around an E-I transformer bobbin, keeping track of the
number of windings, then the E-I laminated sheets were
assembled around the bobbin. After each output voltage was
tested, the researchers went on to connect the autotransformer
with the relays (to open and close the circuits for the output
voltage as needed by the user) through a terminal block. From
there, the relays are then connected again to a terminal block
for a more organized connection to the binding post.
B. Result of Output Voltage Testing
Based on the RRL of this study the acceptable maximum
margin error must be 8%. The reading between the actual and
the settings must vary ±8%. In many research and data analysis
environments, a marginal error of 8% is acceptable. It is
frequently used as a standard for assessing the accuracy of data
since it provides a reasonable margin of error for results
interpretation. Furthermore, an eight percent marginal error is
negligible enough to not materially alter the general
interpretations or choices that may be drawn from the data. This
makes it a degree of error in data analysis that is frequently seen
as appropriate and acceptable.
Table 1 shows the different settings and corresponding
readings during the voltage testing. It can be seen that the
difference in values between the readings and setting are within
the said maximum margin error.
Fig. 7 “Set 220 Volts” Command
Table 1. Output Voltage Testing
Trial 1
Trial 2
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
Trial 9
Trial 10
Setting
120 V
220 V
230 V
240 V
0V
240 V
230 V
220 V
120 V
0V
Reading
119.6 V
219 V
225 V
236 V
0.1 V
244 V
233 V
219 V
121 V
3.31 V
Fig. 8 “Set 230 Volts” Command
Fig. 6 to Fig. 9 shown below are the samples of the output.
It shows the screen display an actual reading of the voltage at
different settings.
Fig. 9 “Set 240 Volts” Command
Fig. 6 “Set 120 Volts” Command
C. Bar Graph and Result of Confusion Matrix
Fig. 10 illustrates the difference between the theoretical
reading and actual reading of the output voltage by the use of
bar graph. The data used are taken from table 1. As it is simple
to spot any differences or fluctuations when the difference
between theoretical and actual output voltage values is shown
clearly, a bar graph was chosen to represent the tested values.
It can be seen that the difference in values are within the
acceptable marginal error as said earlier.
laboratory activities, this system could make interactions with
the power supply a little more hands-free, thus, lessening the
chances of electrocution.
REFERENCES
[1]
M. Dakic, "Zesium," Zesium Team, 2018. [Online]. Available:
https://zesium.com/what-is-voice-recognition-technology-and-itsbenefits/. [Accessed 20 October 2022].
[2]
P. T. M. Z. Sachin Kumar, "Internet of Things is a revolutionary
approach for future technology enhancement: a review," Journal of Big
Data, vol. VI, no. 111, pp. 1-21, 2019.
M. M. A. M. A. P. M. A. A. S. M. M. M. L. H. F. Y. M. M. R. Md Ohirul
Qays, "Monitoring of renewable energy systems by IoT‐aided SCADA
system," pp. 1-12, 28 February 2022.
M. T. I. Lawrence Oriaghe Aghenta, "Low-Cost, Open Source IoTBased SCADA System Design Using Thinger.IO and ESP32
Thing," Electornics, vol. VIII, no. 822, pp. 1-24, 2019.
M. S. H. Sidratul Montaha Silmee, "Internet of Things Integrated Smart
Grid: The Future of Energy," International Research Journal of
Engineering and Technology, vol. VIII, no. 10, pp. 934-945, 2021.
P. P. M. A. K. A. Carine Zaraket, "LoRaWAN IoT Technology for
Energy Smart Metering," Key Engineering Materials, pp. 30-41, 4 May
2021.
A. B. A. Z. L. A. Salisu, "IOT BASED HOUSEHOLD ELECTRICITY
ENERGY MONITORING AND CONTROL," FUDMA Journal of
Sciences, vol. IV, no. 4, pp. 77-84, 2020.
M. H. A. A. N. T. M. B. Abdallah R. Gad, "A Distributed Intrusion
Detection System using Machine Learning for IoT based on ToN-IoT
Dataset," International Journal of Advanced Computer Science and
Applications, vol. XIII, no. 6, pp. 548-563, 2022.
A. T. E. A. Y. Shehu, "Voice Recognition for the Control of Wheelchair
with Obstacle," International Journal of Recent Engineering Research
and Development, vol. III, no. 6, pp. 49-56, 2018.
Unknown, "What is an Autotransformer? The Complete Information
Guide," Electronicshub.org, 7 April 2019. [Online]. Available:
https://www.electronicshub.org/autotransformer/#Summary. [Accessed
21 October 2022].
Unknown, "Expressif System Company," 2022. [Online]. Available:
https://www.espressif.com/sites/default/files/documentation/esp32wroom-32_datasheet_en.pdf. [Accessed 21 October 2022].
J. Lusky, "Arduino.cc," Arduino, 5 May 2018. [Online]. Available:
https://jlus.de/projekte/downloads/devBoard/Datasheet_Nano.pdf.
[Accessed 21 October 21].
J. A. M. a. M. Finnegan, "What is IFTTT? How to use If This, Then That
services," IDG Communications, Inc., 25 September 2020. [Online].
Available: https://www.computerworld.com/article/3239304/what-isifttt-how-to-use-if-this-then-that-services.html. [Accessed 21 October
2022].
O. H. Colleen G. Le Prell, "Effects of noise on speech recognition:
Challenges for communication by service members," Hearing
Research, vol. 349, pp. 76-89, 2017.
"Difference Between Autotransformer & Conventional Transformer,"
Circuit
Globe,
2022.
[Online].
Available:
https://circuitglobe.com/difference-between-autotransformer-andconventional-transformer.html. [Accessed 21 October 2022].
"The Autotransformer," Electronics Tutorials, 2022. [Online]. Available:
https://www.electronics-tutorials.ws/transformer/auto-transformer.html.
[Accessed 21 October 2022].
"wal
Gravitech, “ESPRESSIF ESP-WROOM-32 MODULE,” 2022, [Online
Serial].
Available:
https://www.gravitechthai.com/productdetail.php?WP=pQIgA3p0GQSgG2rDqYyc4Uuw
Arduino.cc, “Arduino Nano,” 2022, [Online Serial]. Available:
https://store.arduino.cc/products/arduino-nano
E. Horn, “Why 95? The Relevance of 95% Significance Level,” 2018,
[Online
Serial].
Available:
https://www.decisionanalyst.com/blog/why95/
[3]
[4]
[5]
[6]
[7]
[8]
Fig. 10 Bar Graph of Theorical and Actual Reading of
Voltage Output
[9]
Table 2. Results of Confusion Matrix during Device
Operation
Accuracy
Precision
Recall
Specificity
F1 Score
0.950
0.950
0.950
0.950
0.95
[10]
[11]
[12]
During the testing of the device, a set of commands was
given and results were recorded. A score of 95% is present
across all methods of measure. This means that the test’s results
show a 95% significance in the performance, low likeliness of
the occurrence of false positives, high number of relevant
results, and the closeness of the actual results to the desired
results. This makes it a very accurate and precise way to gauge
performance. It also suggests that the test is valid and that it can
be utilized to make significant judgments and predictions. In
general, it is an effective technique for assessing performance
in a variety of scenarios.
IV. CONCLUSIONS AND FUTURE WORKS
Based on the results of this study, the researchers have
successfully designed the development of a voice-operated
power supply. The objective of developing a laboratory-ready
voice-operated power supply is achieved.
The following recommendations are based on the conclusion
of the study. For future researchers, incorporating or adding a
wireless microphone feature would free users from distance and
movement-related constraints. The development of a non-IoT
system could make this device a whole lot more versatile. For
school laboratories that have set voltage requirements for
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
APPENDIX A
PRIOR ARTS
Existing Research
Study
Our Research Study
Title
A Low Cost High
Voltage Power
Supply
to Use in
Electrospinning
Machines
Voice-Operated
Adjustable High
Voltage Power
Supply
Existing Research Study Claim
Our Research Study Claim
Remarks
Y
In this study, a low-cost power
supply is designed for the
electrospinning process.
The existing research designed
a low-cost power supply which
uses Zero Cross Voltage
Switching driver circuit and a
flyback transformer.
We designed a power supply
incorporating a voice
recognition system. The voice
recognition will be
programmed to control the
voltage output of the power
supply
APPENDIX B
A) Multiple Designs and Constraints
The researchers will analytically compare two designs regarding with specific constraints, to completely characterize one
from the other. The constraints were chosen as to their essentiality in comparing the two design to come up with the bigger
picture to which design fits better.
In figure one, the power supply will be housed in an insulated wooden frame - this will make initial fabrication easier
and cheaper. Vents for thermal control will be present. The voice recognition device will be placed adjacent to a meshed
opening. With the horizontal build, space would be created and additional components like a backup ups could be placed.
Fig. 1 (Design 1 for the Voice-Operated Adjustable High Voltage Power Supply)
Figure 2 has the exact same components but uses a metal casing from sheet metal. This would make the device a little
smaller and lighter. Because the intended materials to be used here are readily available, production would be cheaper in the
long run and more accessible. The material's sturdiness could also help improve the unit's durability. This design will be built
horizontally as well.
Fig. 2 (Design 2 for the Voice-Operated Adjustable High Voltage Power Supply)
B) Design Constraints
The researchers take massive considerations when it comes to building the conceptual device. The choices for the researchers
in achieving the perfect casing will be wood and sheet metal with internal insulation. The first design for the High Voltage
Power Supply container will be composed of wood since this will be a perfect isolator but must be careful on its ability to retain
moisture. It’ll be a challenge since we live in a humid environment. Fragile care must be taken to keep it away from water. The
second consideration for the case will be the sheet metal with internal insulation. Steel sheet is readily available for cheap
making acquisition for production easy. Preferably, the researchers would like to use the steel sheets for a sturdier and lighter
build.
1.)
Environmentally Friendly: The design 2 is more environmentally friendly in building materials because it tends to
produce less waste; unlike design 1, which can be more high maintenance. There is little to no waste in design 2 in comparison
to design 1. Since we live in a humid environment, design 1 may produce moisture and trigger complications if not well taken
care of. Design 2 requires little maintenance, 100% recyclable, and can be reused.
2.)
Economical: Technically speaking, design 1 is way cheaper for it offers lower labor cost than design 2, that is if our
group will prefer building a new one. Since the researchers have discussed looking for a cheaper material for design 2,
researchers can conclude that design 1 will cost more than the design 2. It still depends on the availability in the actual scenario.
3.)
Manufacturability: Design 1 will be customized, while in design 2, researchers will try to compromise its build-up as
steel sheets aren’t as easy to cut as wood is. The researchers are still in favor of design 2 since it is more economical and
sustainable.
4.)
Sustainability: As the researchers finish discussing the designs’ limitations, it has been concluded that design 2 will
be much preferred than design 1. It is easier to adjust the case’s size than to maintain it in the long run since it’ll cost money,
time, and hard work. Design 1 will not last long as design 2 will
TRADE-OF ANALYSIS
Use the following for Concept Selection:
1 equal
2 moderates
3 strong
4 very strong
5 extremes
Use the following for Concept Scoring:
Values
Interpretation
1
i and j are equally important
2
i is slightly more important than j
3
i is more important than j
4
i is strongly more important than j
5
i is absolutely more important than j
PUGH CONCEPT SELECTION
A. Environmentally Friendly
B. Economic
C. Manufacturability
D. Sustainability
A
B
C
D
A
11
23
34
23
B
32
11
32
32
C
43
23
11
23
D
32
23
32
11
1
0.67
0.75
0.67
1.5
1
1.5
1.5
1.33
0.67
1
0.67
1.5
0.67
1.5
1
1
0.67
0.75
0.67
1.5
1
1.5
1.5
1.33
0.67
1
0.67
1.5
0.67
1.5
1
4.01
7.25
4.67
6
2.29
4.02
2.68
3.35
3.51 6.38 4.01
Sum2.85 Weight
5.01 3.24
%
21.93 32.05
12.34 18.04
19.03 27.81
15.12
22.1
68.42 100%
5.13
4.02
A) Environmentally Friendly Constraints
Pugh Concept Selection
A. Pollution free
B. Ensures the well-being of the user
A
11
32
A
B
B
23
11
1
0.67
1.5
1
1
0.67
1.5
1
Sum
Weight %
3.35
5.01
8.36
12.84
19.21
32.05
B) Economical Constraint
Pugh Concept Selection
A. Cost- efficient based on Cost-benefit analysis
B. inexpensive and less time consuming
A
11
23
A
B
B
32
11
1
1.5
0.67
1
1
0.67
1.5
1
2.01
3
1.34
2.01
Sum
Weight%
5.01
3.35
8.36
10.81
7.23
18.04%
C) Manufacturability Constraint
Pugh Concept Selection
A. Availability of materials
B. Easy to fabricate
C. High-quality and low-cost products
D. Installment of the equipment
A
11
33
32
32
A
B
C
D
B
33
11
23
33
C
23
32
11
32
1
1
0.67
0.67
1
1
1.5
1
1.5
0.67
1
0.67
1.5
1
1.5
1
4.01
3.12
3.85
2.79
5.75
4.01
5.17
3.68
4.68
3.51
4.02
3.02
6.25
4.51
5.51
4.01
Sum
13.77
Weight
%
5.64
18.61
7.62
15.28
6.25
20.28
8.3
67.94
27.81%
D
23
33
23
11
1
1
0.67
0.67
1
1
1.5
1
1.5
0.67
1
0.67
1.5
1
1.5
1
D) Sustainability Constraint
Pugh Concept Selection
A Life Expectancy
B Execution under heavy usage
C Durability
D Maintenance
A
11
32
32
32
A
B
C
D
1
B
23
11
23
33
C
23
32
11
32
D
23
33
23
11
0.67
0.67
1.5
1
1.5
1
1.5
0.67
1
0.67
1.5
0.67
1
1.5
0.67
0.67
1.5
1
1.5
1
1.5
0.67
1
0.67
1.5
1
1.5
1
1
1
0.67
4.02
2.46
3.35
2.46
6.75
4.01
5.51
4.01
5.01
3.02
4.02
3.02
6.75
4.01
5.51
4.01
Sum
12.29
20.28
15.07
20.28
67.92
Weight %
4
6.6
4.9
6.6
22.1%
TRADE OFF ANALYSIS
Weight (%)
Economic
32.05
Manufacturability
18.04
27.81
Sustainability
selection criteria
Environmenta
lly friendly
constraints
TABLE II
22.1
Design Concepts
Pugh Concept
Selection Matrix
Design Concepts Weighted
Average
Weight (%)
Design 1
Design 2
Design 1
Design 2
Hazard-free
12.84
3
4
38.52
51.36
Ensures the wellbeing of the user
19.21
3
4
57.63
78.84
Cost- efficient based
on Cost-benefit
analysis
10.81
3
5
32.43
54.05
inexpensive and less
time consuming
7.23
3
4
21.69
28.90
Availability of
materials
5.64
2
5
11.28
28.2
Easy to fabricate
7.62
2
4
15.24
30.48
High-quality and lowcost products
6.25
4
5
25
31.25
Installment of
equipment
8.3
3
5
24.9
41.5
Life Expectancy
4
4
4
16
16
Execution under
heavy usage
6.6
5
4
33
26.4
Durability
4.9
4
4
19.6
19.6
Maintenance
6.6
3
5
19.8
33
315.09
439.58
100
ANALYSIS FOR ECONOMIC CONSTRAINT
TABLE III
Design 1
Design 2
-the design inexpensive
-The installation for processing the device’s parts takes
quite some time.
- extra care must be taken in order to keep the wood
away from water
- The design 2 ensures the well-being of the user
ANALYSIS FOR SUSTAINABILITY CONSTRAINT
TABLE IV
Design 1
Design 2
- Although wood is a very good isolator it cannot be
compared to plastic due to its ability to retain moisture.
- design 2 can assure that the device will last long
because researchers will be using high quality material
- Unlike the design 1 in terms of durability steel sheet is
more favorable than wood
ANALYSIS FOR MANUFACTURABILITY CONSTRAINT
TABLE V
Design 1
Design 2
- Installment of the system is a bit easy.
- the design offers high quality case and repurposing is
present
- Extra care must be taken to keep the wood away from
water
-Materials can be found in local store.
ANALYSIS FOR ENVIRONMENTALLY FRIENDLY CONSTRAINTS
TABLE VI
Design 1
Design 2
- Using wood contributes fewer greenhouse gases
- The design will be using repurposable steel sheets.
- wood is discouraged if it is going to be in a very humid
environment
- repurposing this means that the design is being ecofriendly
DESIGN STANDARDS
From the weighted constraints conveyed for the project design, the study will be based on the manufacturability, sustainability,
health and safety, and economic. Design standards will be applied to the preferred design from the trade-off analysis. In setting
up the Voice-Operated Adjustable Power Supply, this project is anchored with the International Organization for Standardization
and Institute of Electrical and Electronics Engineers standards.
A)
IEEE 3003.2 Recommended Practice for Equipment Grounding and Bonding: Discussion of the goals of grounding
and bonding of equipment, including minimizing the risk of electric shock to workers, having sufficient currentcarrying capacity for ground faults, and ensuring timely overcurrent security activity are covered in this standard.
B)
ISO 30122-2:2017: It provides the technical criteria and test methods of voice commands and its speech recognition
engine. The technical criteria include the phonetic requirements for spoken words or phrases that compose the voice
command
APPENDIX C
Schematic Diagram of Hardware Circuitries
Fig. 15 Schematic Diagram of Hardware Circuitries
APPENDIX D
System Process Flowchart
Fig. 16 System Process Flowchart
APPENDIX E
Gathered Data
Setting of Voltage:
Test 1
Test 2
Test 3
Test 4
Test 5
Test 6
Test 7
Test 8
Test 9
Test 10
Set Volt Command
120
220
230
240
0
240
230
220
120
0
Reading Voltmeter
119.6
219
225
236
0.1
244
233
219
121
3.31
Command
Off
On
Off
On
Off
On
Off
Off
On
Off
On
Off
On
Off
On
Off
On
Off
On
Off
Result
✓
✓
✓
✓
✓
✓
✘
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Device (On/Off):
Test 1
Test 2
Test 3
Test 4
Test 5
Test 6
Test 7
Test 8
Test 9
Test 10
Test 11
Test 12
Test 13
Test 14
Test 15
Test 16
Test 17
Test 18
Test 19
Tet 20
APPENDIX F
Data Analysis
Group Statistics
Reading
Group
Desired_Reading
Actual_Reading
N
Mean
20
162.0000
94.12198
21.04631
20
165.6145
93.22864
20.84656
Levene's Test for
Equality of Variances
F
Reading
Equal
variances
assumed
t-test for Equality of Means
Sig.
.001
Std.
Error
Mean
Std.
Deviation
t
.980
Equal
variances
not
assumed
Sig. (2tailed)
df
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
Upper
-.122
38
.904
-3.61450
29.62307
-63.58327
56.35427
-.122
37.997
.904
-3.61450
29.62307
-63.58345
56.35445
Actual Values
Predicted Values
No. of
Trials
20
Yes
No
Yes
19
1
No
1
19
TP
TN
FP
FN
Accuracy
Precision
Recall
Specificity
F1 Score
19
19
1
1
0.950
0.950
0.950
0.950
0.950
Use of Confusion Matrix
Predicted
Values
YES
NO
Actual Values
YES
NO
19
1
1
19
APPENDIX G
Project Cycle Plan
SEPTEMBER 2021
SUN
MON
TUE
JOURNAL
WED
THU
FRI
SAT
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
OCTOBER 2021
We started by gathering information of
the materials needed for our device.
Since, not all of us are staying in
Davao, we used Google meet to
communicate with each other.
•
•
Partial design output
Partial design computation
JOURNAL
SUN
MON
TUE
WED
THU
FRI
1
SAT
2
3
4
5
6
7
8
9
After designing the transformer,
canvassing the market was done. The
E-I cores were hard to find in the
market. A makeshift turning wheel was
then made to spool the wire around the
transformer bobbin case. After which,
plates of the E-I core were inserted and
assembled.
10
11
12
13
14
15
16
16
17
18
19
20
22
23
24
25
26
27
28
29
30
31
We proceeded on designing our circuit
diagram using proteus.
DECEMBER 2021
SUN
MON
TUE
WED
1
THU
2
JOURNAL
FRI
3
SAT
4
•
•
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
•
•
FEBRUARY 2021
SUN
6
MON
7
Used relay to control
what voltage to release.
Added Optocoupler to
isolate microcontroller,
capacitor to regulate
voltage, and resistor for
limiting the current.
Focused on coding for
our desired process.
Purchased materials for
our casing.
JOURNAL
TUE
WED
THU
FRI
SAT
1
2
3
4
5
8
9
10
11
12
Started making our casing.
•
•
•
•
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Cutting angle bar for the
frame.
Welding and assembling
to mend the frame.
Proceeded on cutting
metal sheets to cover the
frame.
Putting rubber mats on
the insides of the
assembled box.
Completed purchasing of materials
for interior design.
•
5-meter wire was used for
the microphone.
MARCH 2021
SUN
MON
JOURNAL
TUE
WED
THU
FRI
SAT
1
2
3
4
5
Partially finished assembling the
device.
Requested permission to the dean for
us to conduct an actual testing at UM
EE Laboratory.
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
27
28
29
30
31
25
•
MON
TUE
WED
We requested for our
device to use IoT server
since our previous
outcome didn’t work out
as we planned.
26
APRIL 2021
SUN
First function testing.
JOURNAL
THU
FRI
SAT
1
2
Bought additional parts for trial and
error.
Focused on doing revisions for our
device.
3
4
5
6
7
8
9
10
11
12
13
14
15
16
•
•
16
17
18
19
20
22
23
24
25
26
27
28
29
30
Removed the 5-meter
wired microphone.
Installation of Iot Server
in the device.
Successful function testing at home.
JUNE 2021
SUN
MON
TUE
JOURNAL
WED
THU
FRI
SAT
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
Final function testing with our
adviser at the EE Laboratory.