Papers by Laurence A . Gan Lim
An experimental investigation concerning the analysis of system performance for axial flow pump o... more An experimental investigation concerning the analysis of system performance for axial flow pump operated as a turbine with draft tube is presented. The dimensional analysis is used to derive the functional relationship between discharge coefficient and energy coefficient. The two parameters and the one-dimensional flow theory are found useful to establish the turbine performance diagram. In this study, the Reynolds number in the upstream part of an axial flow turbine model is ranging from 90,000 to 170,000. © 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. All Rights Reserved
IOP Conference Series: Earth and Environmental Science, 2020
In recent years, the Philippine space program has launched several small-scale satellites, and la... more In recent years, the Philippine space program has launched several small-scale satellites, and lately has commissioned its own space program. Research on improving the subsystems of these satellites would be beneficial to future space programs in the Philippines. This paper will detail the process of designing, validating, fabricating, and testing a prototype Carpal Wrist Cold Gas Propulsion System (CW-CGPS). By making use of a carpal wrist’s (CW) hemispherical movement capabilities, the sixteen thrusters could theoretically be replaced by four mounted on opposite ends. Optimization of the propulsion system is based on finding the nozzle design with the most adequate values for thrust, Mach number, and specific impulse while the CW design is validated when it can be calibrated to move as the program dictates. This study uses multiple programs to simulate and verify the design. The conditions of the testing environment are established by resources from international space organizatio...
Journal of Advances in Information Technology
Harmful gases can inflict damage, accident, or even death on a human being. The safety and securi... more Harmful gases can inflict damage, accident, or even death on a human being. The safety and security of human beings are essential to the community. This study aims to develop an electronic nose with prediction modeling using machine learning. With the use of the sensor substitution technique, the system can predict the gas by utilizing a minimal number of sensors. The system, which is designed to predict Ammonia, Ethanol, and Isobutylene, relies on Support Vector Machine (SVM), Gaussian Process Regression (GPR), and Feed Forward Neural Network (FFNN) to ensure the prediction models are accurate. As a result, for Ammonia, Ethanol, and Isobutylene, using SVM, GPR, and FFNN model attain value of 1.00 for R 2. The RMSE and MAE has a low result value indicates that the SVM, GPR, and FFNN model is performing well and can be used to make decisions regarding the concentration levels of harmful gases. This study shows that the system can predict the presence of gases within it using machine learning.
IOP Conference Series: Materials Science and Engineering
Studies have been conducted to uncover the underlying factors of global CO2 emissions. One method... more Studies have been conducted to uncover the underlying factors of global CO2 emissions. One method to quantify the driving forces of carbon dioxide emissions is decomposition analysis. In this paper, the logarithmic mean Divisia index (LMDI) method was used to investigate the driving forces of carbon dioxide emissions in Japan for the period of 1990-2017. As one of the world’s leading economies, it also contributes one of the highest CO2 emissions globally. Results highlighted the flaw of energy structure as one major factor affecting CO2 emission intensity. Another notable finding is how the state of the economy played a pivotal role in the shift of carbon emission levels. Potential policy recommendations were also introduced to establish a better power structure for electricity generation in the country.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021
The advantages of swarm robotics show the potential of the technology in different application ar... more The advantages of swarm robotics show the potential of the technology in different application areas. The control of swarms, however, remains to be the challenge. Collision avoidance in swarm robot systems can be a crucial factor in the success of the swarm system. This paper aims to present the Moving Particle Semi-Implicit Method as a method for controlling swarms, focusing on collision avoidance. The results of the study show the capability of the method to avoid collisions with the environment. Additionally, actual robot collisions can also be avoided with some parameter adjustments.
IOP Conference Series: Materials Science and Engineering, 2021
Hydroponic farming is gaining significant interests in the field of agriculture due to its many a... more Hydroponic farming is gaining significant interests in the field of agriculture due to its many advantages. Its design is modular thereby allowing it to be installed in limited spaces and urban applications. Also, the trend of controlled environment agriculture (CEA) is now prevalent in the study of hydroponics. This ensures that hydroponic setups are invulnerable to plant diseases, infestations, and variable weather systems. One of the challenges in its operation, however, is in the efficient and accurate maintenance of the nutrient solution. Sudden changes in the growth parameters such as ambient temperature, relative humidity, electrical conductivity (EC), and pH level negatively impact the growth of hydroponic plants. Several studies have proposed systems which can control the distribution of the nutrient solution and maintain the optimal levels of growth parameters. This paper discusses a proposed control framework for nutrient solution management in a hydroponic system. Moreov...
Journal of Advanced Computational Intelligence and Intelligent Informatics, Sep 20, 2014
Colon cancer is one type of cancer that has a high death rate, but early diagnosis can improve th... more Colon cancer is one type of cancer that has a high death rate, but early diagnosis can improve the chances of patient recovery. Computer-assisted diagnosis can aid in determining whether images are of healthy or cancerous tissues. This study aims to contribute to the automatic classification of microscopic colonic images by implementing a 2-D wavelet transform for feature extraction and neural networks for classification. The colonic histopathological images are assigned to either the normal, cancerous, or adenomatous polyp classes. The proposed algorithm is able to determine which of the three classes the images belong to at a 91.11% rate of accuracy.
2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2017
Climate change has great impact in the production of crops worldwide. With the advent of technolo... more Climate change has great impact in the production of crops worldwide. With the advent of technology, several methods have been developed to adapt to an ever changing world climate. One of these is to provide a microclimate technology that can provide an environment suitable for the growth and development of a plant. Among the growth factors affected by the climate change, temperature plays a very vital role in growing tomato plant and can be controlled through different cooling methods. A temperature which is greater or less than the necessary range for the tomato plant will either lead to immature fruit or loss of flowers. The focus of this research is to monitor and control the temperature inside a growth chamber environment for growing a tomato plant. The input parameters that will be used to monitor and control microclimatic conditions include crop age of the tomato plant, time of the day, and air temperature. Temperature inside the growth chamber will be compared to the temperature outside the growth chamber, as well as to the optimum temperature for the growth stage of the tomato plant. Based on these parameters, fuzzy logic system will be used to make decisions to control the temperature setting of the air-condition unit inside the chamber.
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2020
In response to COVID-19 pandemic, universities and related institutions around the world came up ... more In response to COVID-19 pandemic, universities and related institutions around the world came up with various mechanical ventilator designs to help cope with the expected shortages of ventilators as the pandemic rages. Many of these designs are based on automating the manual operation of the Bag Valve Mask (BVM), a ubiquitous resuscitator device used for emergency ventilation or resuscitation of patients with breathing problems. In this paper, the mechanical design and development process for a BVM-based emergency ventilator is discussed. In particular, the evolution of the design from a simple, low-cost device to a more sophisticated system acceptable to pulmonologists and related medical practitioners is documented.
2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2017
This research project presents a semi-autonomous wheelchair that will move and avoid obstacles au... more This research project presents a semi-autonomous wheelchair that will move and avoid obstacles autonomously while a remote control will be used to guide the wheelchair in its path to the user. The wheelchair is equipped with two DC motors, batteries, a transmitter-receiver pair (to relate to the remote control), and nine ultrasonic sensors that is controlled by an Arduino microcontroller. The motors used are 24VDC, 250W brushed DC motors, and are independently controlled based on the input provided by the ultrasonic sensors and on-board receiver. The control system implements algorithms in obstacle avoidance for the wheelchair and in the path planning for the remote control. In the testing and performance evaluation, factors such as response time, maneuverability, speed, turning radius, and recommended maximum payload is measured and analyzed. © 2017 IEEE
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021
In this paper a fuzzy logic controller was design and develop to control the crane arm motor torq... more In this paper a fuzzy logic controller was design and develop to control the crane arm motor torque and arm movement for lifting delicate objects. The model was developed to help crane arm automatically adjust its movement speed and angle position for carrying sensitive and fragile load. The controller will respond depending on the object load and size.
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ), 2019
This research proposes a method for automatic license plate recognition (ALPR) using the Faster R... more This research proposes a method for automatic license plate recognition (ALPR) using the Faster R-CNN with InceptionV2 feature extractor that works in the Philippines. While there exist character recognition systems, there still remains difficulty in recognition due to different variations of Philippine license plates. By training a deep neural network in the extraction of the features in images of the different types of Philippine license plates – 1981, 2003, 2014, and others – our proposed multi-class detection system can recognize the alphanumeric characters in the license plate images. The system was tested on actual traffic images in the Philippines that contains different types of license plates, and achieved the detection rate of 90.011%, recognition rate of 93.21% and an overall accuracy of 83.895%.
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ), 2019
The advancements of Multiple Robot Systems (MRS) have shown advantages over single robot systems.... more The advancements of Multiple Robot Systems (MRS) have shown advantages over single robot systems. Generally, the motivations for the development of MRS are task flexibility, time efficiency, and single-point failure resiliency. The challenge in MRS, however, is the control and coordination of all the members in the system when performing tasks. Swarm robotics is a branch of MRS that deals with groups of homogeneous robots. The goal of swarm robotics is to produce systems that are scalable, flexible, and robust. The control of swarm robotic systems, however, looks to be one of the main challenges. These control concepts are inspired by biological swarms and, more recently, physics concepts. The success of the swarm’s control algorithm will also lead to the swarm’s ability to perform cooperative tasks. The use of homogeneous robots in swarm systems makes it advantageous to model the swarm robots as particles in a fluid. The Moving Particle Semi-Implicit (MPS) Method, a particle-based method in fluid dynamics, is proposed to be used as a control algorithm for swarm robotics.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021
In this paper a mini differential drive robot platform was modeled and simulated in MathWorks Sim... more In this paper a mini differential drive robot platform was modeled and simulated in MathWorks Simulink. The structure of the mini robot platform that was used as a base design is the DFrobot micro maqueen. A kinematic base differential drive model was used and simulated with forces acting upon it. The model was simulated for 5 seconds and was compared to the actual model run. A model base simulation was used as a tool to check in measuring the dynamics and performance of a mini differential drive robot platform.
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2020
The nanotechnology application farming has been developed a leading IoT -agricultural controlling... more The nanotechnology application farming has been developed a leading IoT -agricultural controlling process, especially agricultural industry farming. However, Nanotechnology is no widely employed in the Philippines and Laos agricultural industry because nanotechnology is still not implemented broadly. In this study of nanotechnology in the Philippines and Laos agricultural industry is explored and analyzed, on the agricultural system to be quality and safety food, increase technical capacity inputs of agricultural less soil by using nutrients management. Provide the application of nanotechnology to analysis, the purpose of agriculture modern innovation in the growing vegetables industry sustainable, healthy life, aim nanotechnology agricultures to take off the amount of fertilization, chemical and increased yield via nutrient solution. Analysis the trend nanotechnology is improving the agricultural farming controlling the growth state lighting capacity of plants to absorb nutrients among the yield of specific published papers from 2011 to 2020 by using the mathematic linear equation y = 19.758x – 39707, this signification papers must be increase nanotechnology in agriculture industries 406.58% from 2010–2050 in term of higher R2 = 0.9974 through Microsoft Excel. Such as the predictable possibility to approach the controlling system, nanotechnology products and increase the crop of agricultural planting to sustainable in the Philippines and Laos area of nanotechnology in the improvement.
Advances in Intelligent Systems and Computing, 2019
In visual recognition systems, it is necessary to identify between good or bad quality images. Vi... more In visual recognition systems, it is necessary to identify between good or bad quality images. Visual perceptions are discrete representation of observable objects. In typical systems, visual parameters are adjusted for optimal detection of good quality images. However, over a wide range of visual context scenarios, these parameters are usually not optimized. This study focused on the learning and detection of good and bad percepts from a given visual context using a convolutional neural network. The system utilized a perception-action model with memory and learning mechanism which is trained and validated in four different road traffic locations (DS0, DS3-1, DS4-1, DS4-3). The training accuracy for DS0, DS3-1, DS4-1, and DS4-3 are 93.53%, 91.16%, 93.39%, and 95.76%, respectively. The validation accuracy for DS0, DS3-1, DS4-1, and DS4-3 are 88.73%, 77.40%, 95.21%, and 83.56%, respectively. Based from these results, the system can adequately learn to differentiate between good or bad quality percepts.
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2020
Open-source ventilators (OSVs) are considered as an immediate response for the shortages of venti... more Open-source ventilators (OSVs) are considered as an immediate response for the shortages of ventilator equipment in hospitals due to the ongoing global pandemic caused by the Coronavirus disease 2019 (COVID-19). One of the designs explored for OSVs utilizes a bag-valve-mask as a source for mechanical ventilation. Despite its availability for use and being medically accepted, proper calibration must be observed in measuring ventilator scalars such as inspiratory pressure, inspiratory flow, and tidal volume to promote the safe use of the OSV and prevent OSV users to do more harm to the patient. This study discusses different calibration techniques to properly acquire ventilator scalar measurements using an integrated ventilator scalar measurement module. All in all, different calibration setups and bag-valve-mask-based mechanisms were tested and documented to determine an effective means to acquire accurate and precise ventilator scalar measurements.
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2018
In road traffic scene analysis, it is important to observe vehicular traffic and how pedestrian f... more In road traffic scene analysis, it is important to observe vehicular traffic and how pedestrian foot traffic affects the over-all traffic situation. Road context is also significant in proper detection of vehicles and pedestrians. This paper presents a vehicle-pedestrian detection and classification system with road context recognition using convolutional neural networks. Using Catch-All traffic video data sets, the system was trained to identify vehicles and pedestrians in four different road conditions such as low-altitude view T-type road intersection (DSO), mid-altitude view bus stop area in day-time (DS4-1) and night-time (DS4-3) condition, and high-altitude view wide intersection (DS3-1). In the road context recognition, the system was first tasked to identify in which of the four road conditions the current traffic scene belongs. This is designed to ensure a high detection rate of vehicles and pedestrians in the mentioned road conditions. Road context recognition has 98.64% training accuracy with 2800 sample images, and 100% validation accuracy with 1200 sample images. After road context recognition, a detection algorithm for vehicle and pedestrians was trained for each condition. In DSO, the training accuracy is 97.75% with 1200 image samples, while validation accuracy is 94.75% with 400 image samples. In DS3-1, the training accuracy is 98.63% with 1400 image samples, while validation accuracy is 98.29% with 600 image samples. In DS4-1, the training accuracy is 99.43% with 1400 image samples, while validation accuracy is 99.83% with 600 image samples. In DS4-3, the training accuracy is 97.77% with 1400 image samples, while validation accuracy is 98.29% with 600 image samples.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2020
Automation is considered as the driving force of Fourth Industrial Revolution (Industry 4.0) to d... more Automation is considered as the driving force of Fourth Industrial Revolution (Industry 4.0) to develop smart and automated devices for existing manufacturing processes. However, the global medical outbreak perpetrated by the Coronavirus Disease 2019 (COVID-19) challenged researchers to explore new concepts and innovate existing technologies whilst resolving the ongoing health crisis. Thus, the demand for utilizing the automation concept in biomedical devices is reasonably high. For this study, the researchers have successfully implemented an industrialgrade programmable logic controller that will control the mechanical ventilation process of a bag-valve-mask-based emergency ventilator. Various mechanisms were observed, and the results have been documented.
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Papers by Laurence A . Gan Lim