Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035571
Hiroto Maeda, Y. Oie, Kazunari Ito
Understanding key cryptosystem is not easy to understand because it involves mathematical elements. Therefore, we proposed and implemented an application that enables students to learn key cryptosystem through actual experience of the sentence exchanges. The application was experienced in a class and the evaluation taken after the experience suggests that the application has the potential to promote student's understanding of key cryptosystem. In the future, we would like to evaluate more rigorously how effective this application is using various methods and to establish a method of operation.
{"title":"An Implementation of Web Based Application which Aims at Deepening Understanding of Key Cryptosystem","authors":"Hiroto Maeda, Y. Oie, Kazunari Ito","doi":"10.1109/IMCOM56909.2023.10035571","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035571","url":null,"abstract":"Understanding key cryptosystem is not easy to understand because it involves mathematical elements. Therefore, we proposed and implemented an application that enables students to learn key cryptosystem through actual experience of the sentence exchanges. The application was experienced in a class and the evaluation taken after the experience suggests that the application has the potential to promote student's understanding of key cryptosystem. In the future, we would like to evaluate more rigorously how effective this application is using various methods and to establish a method of operation.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035632
Kazunari Ito
We proposed a pictogram content creation environment called “Pictogramming.” This application includes functions such as the transformation of human-shaped pictograms, drawing objects, and setting safety signs. The combination of these three types of functions enables users to quickly create various works based on pictogram design guidelines and learn some basic concepts in programming languages. Pictogramming is classified as a procedural programming language. This time, we constructed “Picuit,” to allow users to create pictograms that previously could only be made by writing code directly, by adopting state transition diagrams. This paper discusses the implementation method, availability of the application.
{"title":"Picuit - An Application of Pictogram Content Creation using State Transition Diagram -","authors":"Kazunari Ito","doi":"10.1109/IMCOM56909.2023.10035632","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035632","url":null,"abstract":"We proposed a pictogram content creation environment called “Pictogramming.” This application includes functions such as the transformation of human-shaped pictograms, drawing objects, and setting safety signs. The combination of these three types of functions enables users to quickly create various works based on pictogram design guidelines and learn some basic concepts in programming languages. Pictogramming is classified as a procedural programming language. This time, we constructed “Picuit,” to allow users to create pictograms that previously could only be made by writing code directly, by adopting state transition diagrams. This paper discusses the implementation method, availability of the application.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127416285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035636
Taichi Watanabe, Y. Oie, Kazunari Ito
Algorithms, which mean computational methods or procedures for problems solving, have characteristics that is not easy to understand with lecture style. And, when teaching algorithms deeply, it is even more difficult to understand because of the programming element involved. Therefore, one of the algorithms learning methods is learning sorting algorithms using CS unplugged. CS unplugged is a non-computer-based learning method, but its effectiveness has been suggested for use as a digital teaching material. In addition, by utilizing a human pictogram, it is possible to project the self and connect it with the experiential knowledge that the learner has played on the seesaw. For these reasons, we have implemented a Web application “Human Picsortgram” that can learn sorting algorithms.
{"title":"An Application for Learning Sorting Algorithm using Human Pictograms","authors":"Taichi Watanabe, Y. Oie, Kazunari Ito","doi":"10.1109/IMCOM56909.2023.10035636","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035636","url":null,"abstract":"Algorithms, which mean computational methods or procedures for problems solving, have characteristics that is not easy to understand with lecture style. And, when teaching algorithms deeply, it is even more difficult to understand because of the programming element involved. Therefore, one of the algorithms learning methods is learning sorting algorithms using CS unplugged. CS unplugged is a non-computer-based learning method, but its effectiveness has been suggested for use as a digital teaching material. In addition, by utilizing a human pictogram, it is possible to project the self and connect it with the experiential knowledge that the learner has played on the seesaw. For these reasons, we have implemented a Web application “Human Picsortgram” that can learn sorting algorithms.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121215548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035622
Ferane Aristrivani Sofian
The popularity of video conferencing platforms increasing since the COVID-19 pandemic hit the world. Much higher education industries use the video conferencing platform to replace classrooms. Unfortunately, many students struggle to face this change, creating much drama in online learning classes. This study explores the student's behavior and expectations in video conferencing classes. The study uses a qualitative approach with a case study design. The data were collected by interviewing 60 students, aged between 19 and 22, of the Communication Department at Bina Nusantara University and observing their behavior during basic and applied communication courses through video conferencing classes. The result found that most students behave actively in camera-off mode. But the activities refer to being at home, not in the classroom, and maintaining self-image. Most students' expectations of video conferencing relate to the characteristics of an exciting lecturer and engaging teaching and learning methods.
{"title":"Dramatism of A Video Conferencing Class: Student's Behavior and Expectations","authors":"Ferane Aristrivani Sofian","doi":"10.1109/IMCOM56909.2023.10035622","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035622","url":null,"abstract":"The popularity of video conferencing platforms increasing since the COVID-19 pandemic hit the world. Much higher education industries use the video conferencing platform to replace classrooms. Unfortunately, many students struggle to face this change, creating much drama in online learning classes. This study explores the student's behavior and expectations in video conferencing classes. The study uses a qualitative approach with a case study design. The data were collected by interviewing 60 students, aged between 19 and 22, of the Communication Department at Bina Nusantara University and observing their behavior during basic and applied communication courses through video conferencing classes. The result found that most students behave actively in camera-off mode. But the activities refer to being at home, not in the classroom, and maintaining self-image. Most students' expectations of video conferencing relate to the characteristics of an exciting lecturer and engaging teaching and learning methods.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121442426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035624
H. S. Husin, Muhammad Sufiyan Abdul Wahid, M. Zuhairi, Zuraini Zainol
This study is based on a private university in Malaysia that has developed a Moodle-based online learning environment. Since the introduction of e-learning, all materials, including lecture notes, data, and discussions, are performed within the e-learning platform. To understand more about how the e-learning platform has been used, the research will concentrate on the data of study activity event logs in selected three academic weeks in 2020. The methodology includes phases of data extraction, data processing, data mining, analysis, and evaluation. To understand more about the mechanics of the e-learning process, the outcomes of each process are investigated. Based on the method previously stated, the utilization pattern of the UniKL VLE platform can be effectively investigated. A process model is generated by using the process discovery process available in the Flexicon Disco tool. Subsequently, the process model may enable the process to be improved and as such, could further enhance the existing e-learning platform.
{"title":"Process mining to discover online learning behaviour","authors":"H. S. Husin, Muhammad Sufiyan Abdul Wahid, M. Zuhairi, Zuraini Zainol","doi":"10.1109/IMCOM56909.2023.10035624","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035624","url":null,"abstract":"This study is based on a private university in Malaysia that has developed a Moodle-based online learning environment. Since the introduction of e-learning, all materials, including lecture notes, data, and discussions, are performed within the e-learning platform. To understand more about how the e-learning platform has been used, the research will concentrate on the data of study activity event logs in selected three academic weeks in 2020. The methodology includes phases of data extraction, data processing, data mining, analysis, and evaluation. To understand more about the mechanics of the e-learning process, the outcomes of each process are investigated. Based on the method previously stated, the utilization pattern of the UniKL VLE platform can be effectively investigated. A process model is generated by using the process discovery process available in the Flexicon Disco tool. Subsequently, the process model may enable the process to be improved and as such, could further enhance the existing e-learning platform.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"126 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124235180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035642
H. Nakada, H. Asoh
For complicated Visual Question Answering(VQA) tasks that incorporates multiple objects, to train the VQA model using segmented objects data as inputs is proved to be effective for various downstream tasks. In this work, we tried to train the VQA task model and object segmentation model in end-to-end fashion instead of training independently. We employed CLEVRER as a target VQA task. We first trained MONet(Multiple Object Network), an object segmentation network, with the dataset, and trained Aloe, a VQA model, using the output of the trained MONet. Finally we connect MONet and Aloe to fine-tune them in end-to-end setting and confirmed that the performance of VOA task has been greatly improved.
{"title":"End-To-End Training Of Object Segmentation Task And Video Question-Answering Task","authors":"H. Nakada, H. Asoh","doi":"10.1109/IMCOM56909.2023.10035642","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035642","url":null,"abstract":"For complicated Visual Question Answering(VQA) tasks that incorporates multiple objects, to train the VQA model using segmented objects data as inputs is proved to be effective for various downstream tasks. In this work, we tried to train the VQA task model and object segmentation model in end-to-end fashion instead of training independently. We employed CLEVRER as a target VQA task. We first trained MONet(Multiple Object Network), an object segmentation network, with the dataset, and trained Aloe, a VQA model, using the output of the trained MONet. Finally we connect MONet and Aloe to fine-tune them in end-to-end setting and confirmed that the performance of VOA task has been greatly improved.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035545
Anjan Pal, Snehasish Banerjee, Avneet Kaur
This paper investigates the relationship between the characteristics of online rumor rebuttals and their virality on social media. Virality was conceptualized in terms of the volume of Likes (affective evaluation), Comments (message deliberation), and Shares (viral reach) attracted by rumor rebuttals on Facebook. The dataset included 479 online rumor rebuttal posts. Qualitative content analysis was employed to identify characteristics of the rebuttals while quantitative methods were used to examine how these characteristics predicted their virality. Rebuttal virality was found to be positively predicted by message posters' credibility (#Likes, #Comments, and #Shares), justification of the rebuttal (#Likes and #Comments), call to action (#Comments and #Shares), and the presence of images (#Comments). In contrast, rebuttal virality was negatively predicted by the presence of debunking statements (#Comments) and URLs (#Likes, #Comments).
{"title":"What Makes Rumor Rebuttals Viral on Social Media?","authors":"Anjan Pal, Snehasish Banerjee, Avneet Kaur","doi":"10.1109/IMCOM56909.2023.10035545","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035545","url":null,"abstract":"This paper investigates the relationship between the characteristics of online rumor rebuttals and their virality on social media. Virality was conceptualized in terms of the volume of Likes (affective evaluation), Comments (message deliberation), and Shares (viral reach) attracted by rumor rebuttals on Facebook. The dataset included 479 online rumor rebuttal posts. Qualitative content analysis was employed to identify characteristics of the rebuttals while quantitative methods were used to examine how these characteristics predicted their virality. Rebuttal virality was found to be positively predicted by message posters' credibility (#Likes, #Comments, and #Shares), justification of the rebuttal (#Likes and #Comments), call to action (#Comments and #Shares), and the presence of images (#Comments). In contrast, rebuttal virality was negatively predicted by the presence of debunking statements (#Comments) and URLs (#Likes, #Comments).","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123687110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035633
De Yu Hong, Stone Cheng, Yan Xiang Ding
This paper develops a low-cost image real-time positioning system platform for agricultural vehicle localization system and its deployment and field-testing in rice paddy. The system enables affordable precision agriculture in rice production by providing the vehicle's position in the paddy without the use of expensive RTK-GPS (Real-Time Kinematic GPS) positioning system. We designed specific artificial landmarks to form four markers at the corners of the farmland. The system uses the camera panorama image to detect a specific marker., then uses the angle of the marker in the image to calculate the current position. The results of static positioning experiments show that in the field of view of 30 ${mathrm{m} times 20 ~mathrm{m}}$, the maximum error of X and $mathbf{Y}$ axis is 20 cm, the average error of X axis is 9 cm and the average error of $mathbf{Y}$ axis is 7 cm, This study is actually installed on a rice transplanter for dynamic positioning verification. The system can solve the problems of unstable and interrupted satellite system leading to loss of control of agricultural vehicles and high cost of RTK-GPS system. This study has been experimentally verified to be able to localize within a range of $mathbf{50} mathbf{~m} times mathbf{50}mathbf{~m}$.
{"title":"Autonomous Navigation System for Agricultural Vehicles Using Machine Vision Recognition and Localization of Panoramic Landmarks","authors":"De Yu Hong, Stone Cheng, Yan Xiang Ding","doi":"10.1109/IMCOM56909.2023.10035633","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035633","url":null,"abstract":"This paper develops a low-cost image real-time positioning system platform for agricultural vehicle localization system and its deployment and field-testing in rice paddy. The system enables affordable precision agriculture in rice production by providing the vehicle's position in the paddy without the use of expensive RTK-GPS (Real-Time Kinematic GPS) positioning system. We designed specific artificial landmarks to form four markers at the corners of the farmland. The system uses the camera panorama image to detect a specific marker., then uses the angle of the marker in the image to calculate the current position. The results of static positioning experiments show that in the field of view of 30 ${mathrm{m} times 20 ~mathrm{m}}$, the maximum error of X and $mathbf{Y}$ axis is 20 cm, the average error of X axis is 9 cm and the average error of $mathbf{Y}$ axis is 7 cm, This study is actually installed on a rice transplanter for dynamic positioning verification. The system can solve the problems of unstable and interrupted satellite system leading to loss of control of agricultural vehicles and high cost of RTK-GPS system. This study has been experimentally verified to be able to localize within a range of $mathbf{50} mathbf{~m} times mathbf{50}mathbf{~m}$.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123413136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035606
Priyakorn Hemnil, E. Boonchieng, S. Osiriphun
This article details our experience setting up a UHT milk traceability system, which involved integrating blockchain technology to control the factory's food safety system and ontology technology to assist milk cooperatives provide a comprehensive perspective of the entire system. to the store in raw. The area of milk traceability is the key subject. Knowledge exchange between supply chain participants is facilitated by UHT milk and to serve as the guiding concept for milk quality assurance throughout the whole production chain.
{"title":"Food Safety Block Chain System using Ontology in UHT Milk Factory","authors":"Priyakorn Hemnil, E. Boonchieng, S. Osiriphun","doi":"10.1109/IMCOM56909.2023.10035606","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035606","url":null,"abstract":"This article details our experience setting up a UHT milk traceability system, which involved integrating blockchain technology to control the factory's food safety system and ontology technology to assist milk cooperatives provide a comprehensive perspective of the entire system. to the store in raw. The area of milk traceability is the key subject. Knowledge exchange between supply chain participants is facilitated by UHT milk and to serve as the guiding concept for milk quality assurance throughout the whole production chain.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035574
Ronnie S. Concepcion, R. Relano, Kate G. Francisco, Jonah Jahara G. Baun, Adrian Genevie G. Janairo, J. A. D. Leon, Llewelyn Espiritu, A. Mayol, Mike Louie C. Enriquez, R. R. Vicerra, A. Bandala
Root system architecture (RSA) phenotyping is essential in formulating suitable organic fertilizers, irrigation, and protective regiments concerning its functional role in resource acquisition for plant growth. However, Ground Penetrating Radar, and Magnetic Resonance, Positron Emission, and X-Ray Micro Computed Tomography Scanning have high power requirements, and RGB imaging demands an intrusive scheme. Existing antenna-based imaging systems are not intelligently optimized yet. To address these challenges, this study developed a low power (10 W) near L-band capacitive resistive antenna system for in silico maize root tomography optimized using three novel advanced evolutionary computing, namely, Genetic Particle Collision Algorithm (gPCA), Genetic Integrated Radiation Algorithm (gIRA), and Genetic Big Bang-Big Crunch Algorithm (gBB-BC). Two capacitive resistive antenna designs were developed using CADFEKO: single parallel plate and 90-electrode dipole-dipole, where root information acquisition and processing from healthy maize seedling inside a PVC pipe intact with soil were done. Maize root permittivity and soil quality were set to resemble actual biological experiments. Transmitter frequency was determined using multigene (10 genes) genetic programming (MGGP) integrated with PCA, IRA, and BB-BC to determine the global maximum voltage at the receiver dipole. Based on in silico experiments, gBB-BC resulted in 0.984463 GHz operating frequency that lies within the global solutions of gPCA (> 1 GHz) and gIRA (< gBB-BC). The root tomography generated from electric field mapping using the gBB-BC-based antenna exhibited more pronounced RSA, while gIRA-based antenna is sensitive only to root tips. Hence, the established root imaging protocol here supports faster, low-power, and non-destructive approaches.
{"title":"Optimizing Low Power Near L-band Capacitive Resistive Antenna Design for in Silico Plant Root Tomography Based on Genetic Big Bang-Big Crunch","authors":"Ronnie S. Concepcion, R. Relano, Kate G. Francisco, Jonah Jahara G. Baun, Adrian Genevie G. Janairo, J. A. D. Leon, Llewelyn Espiritu, A. Mayol, Mike Louie C. Enriquez, R. R. Vicerra, A. Bandala","doi":"10.1109/IMCOM56909.2023.10035574","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035574","url":null,"abstract":"Root system architecture (RSA) phenotyping is essential in formulating suitable organic fertilizers, irrigation, and protective regiments concerning its functional role in resource acquisition for plant growth. However, Ground Penetrating Radar, and Magnetic Resonance, Positron Emission, and X-Ray Micro Computed Tomography Scanning have high power requirements, and RGB imaging demands an intrusive scheme. Existing antenna-based imaging systems are not intelligently optimized yet. To address these challenges, this study developed a low power (10 W) near L-band capacitive resistive antenna system for in silico maize root tomography optimized using three novel advanced evolutionary computing, namely, Genetic Particle Collision Algorithm (gPCA), Genetic Integrated Radiation Algorithm (gIRA), and Genetic Big Bang-Big Crunch Algorithm (gBB-BC). Two capacitive resistive antenna designs were developed using CADFEKO: single parallel plate and 90-electrode dipole-dipole, where root information acquisition and processing from healthy maize seedling inside a PVC pipe intact with soil were done. Maize root permittivity and soil quality were set to resemble actual biological experiments. Transmitter frequency was determined using multigene (10 genes) genetic programming (MGGP) integrated with PCA, IRA, and BB-BC to determine the global maximum voltage at the receiver dipole. Based on in silico experiments, gBB-BC resulted in 0.984463 GHz operating frequency that lies within the global solutions of gPCA (> 1 GHz) and gIRA (< gBB-BC). The root tomography generated from electric field mapping using the gBB-BC-based antenna exhibited more pronounced RSA, while gIRA-based antenna is sensitive only to root tips. Hence, the established root imaging protocol here supports faster, low-power, and non-destructive approaches.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130030974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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