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Weeding Robot Based on Lightweight Platform and Dual Cameras

Weeding Robot Based on Lightweight Platform and Dual Cameras

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international conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

作者： Ming Yuan Wang Watis Leelapatra Department of Computer Engineering Faculity of Engineering Khon Kaen University Khon Kaen China Department of Computer Engineering Faculity of Engineering Khon Kaen University Khon Kaen Thailand

ISBN: (纸本)9781665493352

In the process of planting, weeds will inevitably grow in the farmland, and compete with crops for water, light and space, which obviously affect our normal agriculture. If weeds are not effectively controlled, crops output will be seriously compromised. On the other hand, it also increases the number of pests. Nowadays, the main weeding methods rely on labor and chemical herbicide. However, manual weeding is inefficient, costly, time consuming and cannot remove weeds effectively. the purpose of this paper is to propose a weeding robot. the focus of the research is on how to use dual cameras to accurately detect weeds. the convolutional neural networks (CNNs), deep learning, dual cameras machine vision and mechanical design will be discussed in this paper. the results show that dual cameras robot based on a new lightweight platform can achieve a high accuracy compared to single camera method, while a feasible rail system was proposed for weeding robots. In vegetable detection, this method achieves 98.12% precision, 83.47% recall and 89.91% mAP that is 4.06% higher than a single top view camera. GF-YOLO, a lightweight platform we proposed also outperform other state-of-the-art algorithms in embedded system.

关键词： Training Technological innovation Computational modeling Robot vision systems Supervised learning Software algorithms Crops

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Random Matrix Approach for the Capacity of Large-Scale MIMO systems using the Harish-Chandra Formula 14

Random Matrix Approach for the Capacity of Large-Scale MIMO ...

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14th international conference on Signal Processing and communication systems, ICSPCS 2020

作者： Bertola, Marco Assra, Ayman Concordia University Department of Mathematics and Statistics MontrealQC Canada Area of Mathematics SISSA Italy

ISBN: (纸本)9781728199726

the future communication networks tend to be denser and the use of large number of antennas becomes an attractive feature in 5G systems. However, the analysis and design of such networks become more challenging as engineers find a difficulty to deal with the scalability problem. that is it is not trivial to define the precise achievable rate region as the number of network terminals and bandwidth size increase (i.e., mmWave communications). However, it has been noticed that the macroscopic view of the network can provide a useful abstraction. As the system gets larger, the macroscopic view can ease the network optimization solution and provide attractive engineering insights. To this end, random matrix theory (RMT) has been used to model the interaction complexity between multiple terminals in multi-antenna systems, where it can provide the asymptotic behaviour of the eigenvalue distributions of the products and sums of matrices. In this paper, we present a random matrix approach to derive the capacity of multi-antenna systems over Rayleigh fading channels. We also study the impact of channel correlation on the capacity of multiple-input multiple-output (MIMO) systems. © 2020 IEEE.

关键词： Antennas

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Kaiser and Cumulative Proportion Principal Component Analysis for Temperature Compensation of Vibration in Reinforced Concrete Bridge

Kaiser and Cumulative Proportion Principal Component Analysi...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Ronnie Concepcion Febus Reidj G. Cruz Joy Carpio Argel Bandala R-Jay Relano Joseph Aristotle de Leon Adrian Genevie Janairo Marielet Guillermo Joenel Galupino Marvin Jade Genoguin Pocholo James Loresco Department of Manufacturing Engineering and Management De La Salle University Manila Philippines School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines Systems Engineering Department University of California Berkeley California USA Department of Electronics and Computer Engineering De La Salle University Manila Philippines Department of Civil Engineering De La Salle University Manila Philippines Department of Civil Engineering Eastern Visayas State University Tacloban City Philippines Electrical and Electronics Engineering Department FEU Institute of Technology Manila Philippines

Structural health monitoring (SHM) was developed to provide diagnosis of the state of civil structures, such as bridge and building, throughout their lifespan. the superstructure degrades over time mainly because of the continuous effect of environmental factors including temperature, wind, humidity, and traffic loading. Consequently, this study is concerned in reducing the masking effect of environmental factors, specifically on temperature. Principal component analysis (PCA), a supervised machine learning algorithm, was employed as the embedded statistical treatment for multidimensional reduction of feature matrix data to eliminate the temperature effect. Kaiser’s criterion eliminated data variance of almost 20% that may result to poor data reconstruction. Cumulative proportion (CP) criterion eliminated data variance around 4%, which is a better choice for deciding the number of principal components to eliminate. thus, the proposed experimental study addressed successful temperature compensation from reinforced concrete bridge vibration data by using PCA and CP criterion.

关键词： Bridges Vibrations Temperature sensors Temperature measurement Temperature distribution Concrete Environmental factors

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Fuzzy-based Telework Capability Evaluation Using AppSheet-based Mobile Application

Fuzzy-based Telework Capability Evaluation Using AppSheet-ba...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Ryan Rhay P. Vicerra Rex Paolo C. Gamara Jayne Lois G. San Juan Argel A. Bandala Ronnie Concepcion Elmer P. Dadios Pocholo James M. Loresco Jason E. Espanola Alvin Culaba Andres Philip Mayol Department of Manufacturing Engineering and Management De La Salle University Manila Philippines Department of Electronics and Computer Engineering De La Salle University Manila Philippines Department of Industrial and Systems Engineering De La Salle University Manila Philippines Electrical and Electronics Engineering Department FEU Institute of Technology Manila Philippines Department of Mechanical Engineering De La Salle University Manila Philippines

By the beginning of 2020, the illness had been named as COVID-19, which had spread due to its extreme severity affecting multiple industries and sectors throughout the world. To protect the public's health and safety, the Philippine government has established a number of quarantine regulations and travel restrictions in reaction to the current COVID-19 outbreak. Nonetheless, the ILO predicted that the pandemic would initially disrupt the economy and labor markets, affecting 11 million employees, or around 25% of the workforce in the Philippines. therefore, the government continues to urge employers of local companies and enterprises to use alternative work plans, such as a WFH – work-from-home operation in accordance with the established policies. In line with the concept of telework, several studies have already been carried out, though some were declared inconclusive and require additional study. Hence, in this research, a mobile application was created to evaluate the employee’s telework capability assessment using a Fuzzy-based model which utilizes Google AppSheet, Apps Script, and Sheets. the developed mobile application is able to provide capacity evaluation utilizing the four key input variables, which are also reasonably characterized for potential telecommuting cost evaluation.

关键词： COVID-19 Pandemics Government Remote working Regulation Mobile applications Safety

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Virtual Dietitian as a Precision Nutrition Application for Gym and Fitness Enthusiasts: A Quality Improvement Initiative

Virtual Dietitian as a Precision Nutrition Application for G...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Manuel B. Garcia Teodoro F. Revano Pocholo James M. Loresco Renato R. Maaliw Ryan Michael F. Oducado Kadir Uludag FEU Institute of Technology Manila Philippines Southern Luzon State University Lucban Quezon Philippines West Visayas State University Iloilo City Philippines Chinese Academy of Sciences Beijing China

the Virtual Dietitian (VD) application is a nutrition knowledge-based system that generates personalized meal plans in accordance with the one-size-does-not-fit-all concept of precision nutrition. A subset of the population that was not involved in its four-part developmental study was gym and fitness enthusiasts despite them being important target users. As part of our quality improvement (QI) plan, we initiated a two-phase user testing to inform modifications to VD. We recruited a total of 30 users with prior experience in nutrition applications. In phase 1, they used the current version of VD for a week and answered a mixed-form questionnaire afterward. We used the same questionnaire from our previous study, which is composed of System Usability Scale (SUS) items and open-ended questions. After months of system modification, the same set of users evaluated again the new VD version after another week of use. A paired-sample t-test showed a statistically significant difference in SUS scores before (SUS = 79) and after (SUS = 82) modifying VD based on the suggestions of the participants (p = 0.005). Some new features include water tracker and reminder modules, Google Fit integration, and other nutrition support services (e.g., teleconsultation with registered dietitians). Although further refinements to VD are still needed, we were able to incorporate a QI initiative typically employed by healthcare organizations into software development for a better and improved personalized nutrition application.

关键词： Sociology Knowledge based systems Medical services Organizations Software Internet Usability

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Development of an Incubator System for Polyethylene plastic-eating Wax Worm in Tropical Weather Condition

Development of an Incubator System for Polyethylene plastic-...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Einstein Yong Stanley Glenn Brucal Leonardo Samaniego Sergio Peruda Jake Chris Delos Reyes Paola Camille Dulfo Gerald Matthew Gecale Eunice Anne Mabborang School of Engineering Asia Pacific Collage Makati Philippines

Wax worms live in cold climates, climates which are colder than the Philippines. Comparing the required temperature, humidity, and light needed by the wax worms to survive versus those environmental conditions in a hot and tropical climate, the wax worms will have less chance of survival in the Philippines than those countries with cooler climates. Usual summer season temperatures in the Philippines ranges up to 35 to 42 degrees Celsius. Wax worm bread faster from 28 to 32°C. Controlled humidity are also required for wax worm’s survival, and health. Same goes their nature to light, it is best for them to grow wax worm in dark places where they are very active. Due to those facts about the essential requirements of wax worm growth and survival, the researchers built an incubator and developed an accurate system which accurately monitors the temperature, humidity, and light inside an incubator. the system has the ability to detect dead wax worms and pupas as well as count the number of wax worms inside the incubator. Detecting dead wax worms are important to the wax worm’s health because prolonging dead wax worms with those alive would spread the dead’s disease causing an epidemic, killing the wax worms in less than 48 hours. Environmental conditions which are responsible for controlling nature, growth, development, and reproduction of wax worms and wax moths. the proponents developed a self-sustaining and automated sustaining of the required environmental conditions and parameters inside the incubator. By developing such a system and machine, the proponents have an incubator which is effective in conducting the wax worm’s survival in a Philippine climate.

关键词： Measurement Temperature sensors Temperature measurement Temperature distribution Polyethylene Humidity Control systems

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Slope Stability Simulation Analysis of Homogenous Earth Dams

Slope Stability Simulation Analysis of Homogenous Earth Dams

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Ivan Karl B. Camacho Gerald Christian A. Patdu John Vince G. Pilar Mark Anthony C. Sarte Krister H. Bueta Florante D. Poso Department of Civil Engineering FEU – Institute of Technology Manila Philippines

the major problem when it comes to homogeneous earth dams is the slope stability of the dam. Geo Studio is a software using finite element analysis to evaluate the performance of hydraulic structures. the simulation software can satisfactorily analyze of different conditions, soil parameters, analysis methods and applications. this study aims to simulate different combination designs of a homogeneous earth dam. It will obtain the factor of safety on each combination design of a homogeneous earth dam for slope stability due to downstream flow. A total of 98 simulations were analyzed to check the factor of safety (FOS) of the different soil properties and slope ratio combinations. throughout all the 98 simulations there is a change in the values of the factor of safety depending on the slope and the soil type used. In the simulation data the highest value of the factor of safety of 2.890 is from the combination of slope of 2V:1H and MH (silt with a high plasticity), while the lowest value of factor of safety of 0.454 is from the combination of slope 2:1 and SP (poorly graded, small silt). this study uses Pearson’s R Correlation method to solve for the relationship between the slope and the factor of safety. the computed r value is 0.616 and is greater than the r tabular value of 0.1946 with 96 degrees of freedom and 0.05 level of significance. It is recommended using the slope 1V:2H since it has the widest base, and has a desirable value for factor of safety, which would prevent the susceptibility to failure of the dam.

关键词： Earth Analytical models Dams Soil properties Hydraulic systems Stability analysis Software

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Task Scheduling via Modified Deep Reinforcement Learning for MEC-Enabled Industrial IoT

Task Scheduling via Modified Deep Reinforcement Learning for...

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international conference on Wireless communications and Signal Processing (WCSP)

作者： Yizhou Wang Haixia Zhang Xiaotian Zhou Dongyang Li Dongfeng Yuan School of Control Science and Engineering Shandong University Jinan China Shandong Key Laboratory of Wireless Communication Technologies Shandong University Jinan China

ISBN: (纸本)9781665450867

With the development of Industrial Internet of things (IIoT), the ever growing mismatch between the numerous tasks generated in real industrial scenarios and the limited computing ability is enlarging the system delay. How to schedule the system tasks to enhance the system efficiency has become extremely significant. Along this line, a task scheduling scheme for MEC-enabled IIoT systems is proposed in this work to minimize the total delay of the whole system. Since there exist time overlaps between different tasks while the tasks are conducted in parallel, it is difficult to accurately model the process of the tasks in terms of delay. To solve this, a novel modeling method is proposed to transform the optimization problem of minimizing the total delay into minimizing the unprocessed data volumes. To solve the formulated problem, we formulate the process of the tasks being executed as a Markov decision process (MDP) and propose a modified deep reinforcement learning (DRL) algorithm. To evaluate the performance of our proposed task scheduling scheme, intensive experiments have been conducted. the results show that our proposed scheme achieves better performance than some existing schemes. In the end, the scalability and availability of our scheme are tested.

关键词： Deep learning Job shop scheduling Scalability Signal processing algorithms Reinforcement learning Data models Delays

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Biomonitoring Technologies Used in Aquatic Ecosystems: A Systematic and Trend Analysis

Biomonitoring Technologies Used in Aquatic Ecosystems: A Sys...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Carey Louise Arroyo Matthew Dionela Mary Grace Ann Bautista Ronnie Concepcion Ryan Rhay Vicerra Bernardo Duarte Department of Manufacturing Engineering and Management De La Salle University Manila Philippines Department of Electronics and Computer Engineering De La Salle University Manila Philippines MARE—Marine and Environmental Sciences Centre & ARNET – Aquatic Research Infrastructure Network Associated Laboratory Faculdade de Ciências da Universidade de Lisboa Campo Grande Portugal Departamento de Biologia Vegetal Faculdade de Ciências Universidade de Lisboa Lisbon Portugal

Aquatic biomonitoring technologies are widely used to detect and identify hazardous chemicals and pollutants in aquatic ecosystems. With the advancement of technology, this study focuses on providing a review of current trends and challenges related to aquatic biomonitoring. In particular, the advancements made in the designs of biosensors and Biological Early Warning systems (BEWS) were presented. this includes biosensors that utilize luminescent bacteria, algae, living and/or microbial fuel cells. For BEWS, those that use fishes, daphnids, and bivalves as sentinel organisms were discussed. It was shown that biosensors and BEWS show promising potential for monitoring water quality of aquatic ecosystems as they allow for real-time monitoring while performing comparably to traditional analytical methods. Despite the various research done, there are still some issues and challenges concerning aquatic biomonitoring. BEWS and biosensors were shown to have their advantages and disadvantages. Biosensors can quantify the tested parameters but are analyte-specific and often need to be replaced upon detection. On the other hand, BEWS allow for continuous real-time monitoring but are often site-specific and require an established baseline data of the water quality parameters. To combat the issues, this study proposes designing a BEWS using bivalves for early detection and utilizing analytical methods to confirm changes in water quality. It is also recommended that further research be done to determine levels of toxicity, capacity to meet needs, and water quality baseline data for local aquatic ecosystems.

关键词： Microorganisms Ecosystems Fuel cells Algae Water quality Market research Real-time systems

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Enhancing Tilapia Harvesting through Semi-automated Fish Pen Elevating System and Single-input-multiple-output Aquaculture Pump System

Enhancing Tilapia Harvesting through Semi-automated Fish Pen...

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international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment and Management (HNICEM)

作者： Althea Tiffanie A. Bejar Jon Kinsly T. Ouyang Vince Miguel D. Villabroza Aurelle Mikael Correa Ronnie Concepcion Maria Gemel Palconit Ryan Rhay Vicerra Bernardo Duarte Vanessa F. Fonseca Department of Manufacturing Engineering and Management De La Salle University Manila Philippines Department of Electronics and Computer Engineering De La Salle University Manila Philippines MARE—Marine and Environmental Sciences Centre & ARNET – Aquatic Research Infrastructure Network Associated Laboratory Faculdade de Ciências da Universidade de Lisboa Lisbon Portugal Departamento de Biologia Vegetal Faculdade de Ciências Universidade de Lisboa Lisbon Portugal Departamento de Biologia Animal Faculdade de Ciências Universidade de Lisboa Lisbon Portugal

Fish is a staple in the diet of nations globally and is cultured and harvested using various practices such as open sea fishing and aquaculture. In fact, the fisheries and aquaculture industry are valued at 250 billion as a whole and contribute to almost 2% of the Philippines' Gross Domestic Product; therefore, it is an industry with constant great demand. Aquaculture practice is where fish, shellfish, and other consumable marine species are cultivated by fishermen using traditional methods and experience typically manually operated via fish pens. However, occupational hazards exposed to fishermen in the industry often result in injury and long-term health effects. thus, there is a need to semi-automate the labour-intensive task of fish harvesting by applying concepts from common current aquaculture practices and control systems engineering. this study develops two systems, namely: a fish pen elevating system and a single-input-multiple-output aquaculture pump system, for harvesting of tilapia in the Laguna de Bay, Philippines, based on the vastness of the lake, the quantity of open water fish pens located in the area, and the species being the most produced in this type of fish pen as a whole. the discussion of existing aquacultures around the world is also included in this study to show advancements in technology when it comes to this industry. the two proposed systems presented integrate the automation of the process where fish is brought to the surface via raising the base frame of the fish pen or its surrounding poles. the proper application of each system should result in more efficient harvests, fewer injuries to fishermen, and improved production volumes.

关键词： Sea surface Automation Production Lakes Fish Control systems Task analysis

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