2014 International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management, Nov 1, 2014
ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agric... more ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.
... for Rosula Reyes Search for Carlos Oppus Search for Jose Claro Monje Search for Noel Patron S... more ... for Rosula Reyes Search for Carlos Oppus Search for Jose Claro Monje Search for Noel Patron Search for Raphael Gonzales Search for Mark Glenn Retirado. ... 3. Rosula Reyes, Carlos Oppus, Jose Claro Monje, Noel Patron, Reynaldo Guerrero, and Jovilyn Therese Fajardo. ...
The core objective of this project is the development of an exoskeleton controller for a prototyp... more The core objective of this project is the development of an exoskeleton controller for a prototype robotic arm, which is stand-alone, portable, programmable, and easy to maintain and use. The design and implementation utilizes a field-programmable gate array (FPGA) to meet this objective. At present, exoskeleton controllers of robotic manipulators are usually bulky, stationary and usually dependent on a personal computer or mainframe. The product of this project can become a basis for future exoskeleton controller designs, where it can make a significant impact on almost everyone especially in industry and research. Such designs will be invaluable in automated factory processes, construction, toxic waste handling such as maybe needed at the Philippine Nuclear Research Institute and hospitals handling radioactive materials, operations in a vacuum environment, honey-bee culturing and even deep sea or space exploration. Furthermore, the design can bring a complex technology to a level ...
ABSTRACT The study involves the design and development of a wireless sensor network (WSN) that in... more ABSTRACT The study involves the design and development of a wireless sensor network (WSN) that integrates several sensing modules into a fully-functional system. The overall system is composed of a remote server, a controller node, and several sensing modules. The controller node is implemented using an Android mobile phone with Bluetooth and 3G capabilities. Bluetooth is used to communicate with the various sensing modules; while 3G is used to relay data to the remote server. The sensing modules utilize an Arduino Mega 2560 (with the sensor circuits) and a Bluetooth shield. Test results show that this framework is a viable design for WSN systems and can be used for remote installations that can be continuously upgraded over time.
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014
ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agric... more ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.
ABSTRACT This work aims to analyze the EEG signals produced by facial gestures and eye movements ... more ABSTRACT This work aims to analyze the EEG signals produced by facial gestures and eye movements called artifacts. Although these signals are considered contaminants in EEG signals used for medical diagnosis, these are observed in order to consider the possibility of using them as inputs for certain applications. As such, the project aims to observe distinct signal patterns in the EEG signals acquired for certain facial gestures as a preliminary work to facial gesture detection. Using the Emotiv Epoc Neuroheadset, the cross correlation between pairs of 14 channels for six facial gestures and their frequency response are compared. These facial gestures are blink, left wink, right wink, raise brow, smile, and clench. Particular channel pairs are found to be highly correlated for certain facial gestures and can be used as possible means of detecting these gestures. In the frequency domain, only the gestures smile and clench registered a distinctive frequency response among the other gestures. Moreover, the Emotiv Epoc neuroheadset paired with the Arduino Duemilanove board was found to be an effective tool as a controller for household appliances. Also, the neuroheadset was useful in developing an extended communication platform. As such not only does it prove to be a viable device for developing systems in aiding the physically-challenged, but also provides a glimpse of the potential advances in the field of Brain-Computer Interfaces.
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014
2014 International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management, Nov 1, 2014
ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agric... more ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.
... for Rosula Reyes Search for Carlos Oppus Search for Jose Claro Monje Search for Noel Patron S... more ... for Rosula Reyes Search for Carlos Oppus Search for Jose Claro Monje Search for Noel Patron Search for Raphael Gonzales Search for Mark Glenn Retirado. ... 3. Rosula Reyes, Carlos Oppus, Jose Claro Monje, Noel Patron, Reynaldo Guerrero, and Jovilyn Therese Fajardo. ...
The core objective of this project is the development of an exoskeleton controller for a prototyp... more The core objective of this project is the development of an exoskeleton controller for a prototype robotic arm, which is stand-alone, portable, programmable, and easy to maintain and use. The design and implementation utilizes a field-programmable gate array (FPGA) to meet this objective. At present, exoskeleton controllers of robotic manipulators are usually bulky, stationary and usually dependent on a personal computer or mainframe. The product of this project can become a basis for future exoskeleton controller designs, where it can make a significant impact on almost everyone especially in industry and research. Such designs will be invaluable in automated factory processes, construction, toxic waste handling such as maybe needed at the Philippine Nuclear Research Institute and hospitals handling radioactive materials, operations in a vacuum environment, honey-bee culturing and even deep sea or space exploration. Furthermore, the design can bring a complex technology to a level ...
ABSTRACT The study involves the design and development of a wireless sensor network (WSN) that in... more ABSTRACT The study involves the design and development of a wireless sensor network (WSN) that integrates several sensing modules into a fully-functional system. The overall system is composed of a remote server, a controller node, and several sensing modules. The controller node is implemented using an Android mobile phone with Bluetooth and 3G capabilities. Bluetooth is used to communicate with the various sensing modules; while 3G is used to relay data to the remote server. The sensing modules utilize an Arduino Mega 2560 (with the sensor circuits) and a Bluetooth shield. Test results show that this framework is a viable design for WSN systems and can be used for remote installations that can be continuously upgraded over time.
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014
ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agric... more ABSTRACT The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.
ABSTRACT This work aims to analyze the EEG signals produced by facial gestures and eye movements ... more ABSTRACT This work aims to analyze the EEG signals produced by facial gestures and eye movements called artifacts. Although these signals are considered contaminants in EEG signals used for medical diagnosis, these are observed in order to consider the possibility of using them as inputs for certain applications. As such, the project aims to observe distinct signal patterns in the EEG signals acquired for certain facial gestures as a preliminary work to facial gesture detection. Using the Emotiv Epoc Neuroheadset, the cross correlation between pairs of 14 channels for six facial gestures and their frequency response are compared. These facial gestures are blink, left wink, right wink, raise brow, smile, and clench. Particular channel pairs are found to be highly correlated for certain facial gestures and can be used as possible means of detecting these gestures. In the frequency domain, only the gestures smile and clench registered a distinctive frequency response among the other gestures. Moreover, the Emotiv Epoc neuroheadset paired with the Arduino Duemilanove board was found to be an effective tool as a controller for household appliances. Also, the neuroheadset was useful in developing an extended communication platform. As such not only does it prove to be a viable device for developing systems in aiding the physically-challenged, but also provides a glimpse of the potential advances in the field of Brain-Computer Interfaces.
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014
We designed and developed a low-cost mechanical ventilator prototype that meets the government's ... more We designed and developed a low-cost mechanical ventilator prototype that meets the government's minimum viable standards. We substituted alternative off-the-shelf food-grade for the medical-grade parts and improvised some components for our prototype. We cleaned the air from the oxygen tanks and compressors before going to the lung test bag. We designed a solar-powered battery system that can run electronic components for a fail-safe operation. We demonstrated how the AIC Near Cloud system can store air flow rate and air pressure data which were generated during the prototype's operation. We used Embedded Machine Learning in sensors and data processing by using flow and pressure sensors to provide accumulated data that can be utilized in training the machine learning software. The patient-ventilator asynchrony detection model was tested using data generated from the emulated ventilator waveform events that mimic the patient-ventilator asynchrony. A different compression pattern was applied to the test lung and results showed the training, validation, and model testing that yielded 98.7%, 99.1%, and 97.18 percent accuracy, respectively. Having demonstrated that the Tiny ML can be trained to detect anomalies from several data points, we realized the feasibility of detecting ventilator patient vibration anomaly, and unusual acoustic signatures, among others, for future works.
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Papers by Carlos Oppus