2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献
Ronnie S. Concepcion, Adrian Genevie G. Janairo, Maria Gemel B. Palconit, Joy N. Carpio, A. Bandala, R. R. Vicerra, J. Cuello, E. Dadios
{"title":"Influence of Storage Periods and Temperatures on Postharvest Quality of Fresh-Marketed Lycopersicon esculentum Mill","authors":"Ronnie S. Concepcion, Adrian Genevie G. Janairo, Maria Gemel B. Palconit, Joy N. Carpio, A. Bandala, R. R. Vicerra, J. Cuello, E. Dadios","doi":"10.1109/HNICEM54116.2021.9731896","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731896","url":null,"abstract":"A food production system does not end in harvesting crops rather it extends up to the postharvest phases like storage, transporting, marketing, and consumption. Diamante Max F1, a hybrid tomato, is resistive to most diseases but it is one of the most highly perishable tomatoes because of its high moisture content and thin skin that can be easily affected by hot temperatures. In this study, a new non-invasive characterization technique for tomato fruit was developed using integrated computer vision and computational intelligence modeling. The Diamante F1 Max Philippine tomato (Lycopersicon esculentum Mill.) variety was used as fruit cultivar and exposed to two postharvest storage treatments: room temperature with $23-34^{circ} C$ uncontrolled atmosphere; and cold room with constant $18^{circ} C$ throughout the 14 days of storage period. Multigene genetic programming generated four predictive models of the architectural phenotypes: daily weight loss, surface area, total color difference, and tomato color index as functions of storage temperatures and periods. To say that fresh-marketed tomatoes are degrading, its surface area and total color difference should be decreasing, and its daily weight loss and total color index should be increasing. Morpho-anatomical analysis was performed to further analyze the degree of quality degradation in the pericarp, columella, placenta, seed membrane, and fruit epidermis. Pericarp cells shrink due to dehydration and locular gel around the seeds reduces manifesting weight loss. Overall, the influence of temperature and storage period should be managed right after harvesting the fresh produce to preserve its quality and prolong its shelf life for human consumption.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420069","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}
R. Relano, Ronnie S. Concepcion, Kate G. Francisco, Mike Louie C. Enriquez, Homer S. Co, R. R. Vicerra, A. Bandala
{"title":"A Bibliometric and Trend Analysis of Applied Technologies in Bioengineering for Additive Manufacturing of Human Organs","authors":"R. Relano, Ronnie S. Concepcion, Kate G. Francisco, Mike Louie C. Enriquez, Homer S. Co, R. R. Vicerra, A. Bandala","doi":"10.1109/HNICEM54116.2021.9731865","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731865","url":null,"abstract":"The escalating demand for organ replacement in the entire world drives researchers and scientists to develop a new technology of 3D bioprinting. The advancement in additive manufacturing, tissue engineering, regenerative medicine, and 3D printing has made it possible to create tissues and regenerate damaged organs to their standard functionality. Different methods and other combinations are required to come up with a successful production of bio-inks for printing. Trend analysis conveys the rate of acceptance and emerging development in this technology and which aspects affect its continuous development such as ethical and legal issues, safety, risk, and accountabilities. In this study, bibliometric mapping is used to visualize the volume and co-occurrence relations between keywords, the number of citations and journals published from the past 18 years, and the authors who commonly write literature works about 3D bioprinting. The aim of this paper is to present the continuous development of this technology with the increasing number of published research in Scopus. Based on the polynomial growth of the trend, the predicted result shows that the number of publications may reach up to 850 in the year 2032 from the current 208 documents for the year 2021 and only two publications in the year 2003. The challenges that may hinder or slow down the growth of this technology are the following: (1) ethical and regulation issues, (2) policy in clinical practice including its accuracy, (3) unaccepted mechanical properties of materials for bioprinting, (4) process duration, and (5) the high cost of this biotechnology.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114598219","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}
{"title":"An Online Examination System Applying Browser /Server Architecture for Online Class","authors":"Teodoro F. Revano, Beau Gray M. Habal","doi":"10.1109/HNICEM54116.2021.9731863","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731863","url":null,"abstract":"One of the most crucial parts of online learning is online testing. It is advantageous to users to save material resources while conducting an effective, quick, and secure inspection. The researchers created and built a web-based assessment system. This article discusses the system’s primary operations, objectives, and principles, as well as auto-generating test papers and questionnaires utilizing algorithmic analyses and presenting the system’s security.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128586158","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}
Anthony John B. Balase, E. L. Alegre, Justine Michael C. Artagame, P. Guevarra, Nicole Marie M. De Asis, Bernie B. Domingo, Sarah C. Vanguardia, Michael M. Parondo, M. G. Beaño, Julian Robert S. Obamos
{"title":"Body Pain Assessment on Sitting Time of Fifth Year Engineering Students of Pamantasan ng Cabuyao During E-Learning Setup","authors":"Anthony John B. Balase, E. L. Alegre, Justine Michael C. Artagame, P. Guevarra, Nicole Marie M. De Asis, Bernie B. Domingo, Sarah C. Vanguardia, Michael M. Parondo, M. G. Beaño, Julian Robert S. Obamos","doi":"10.1109/HNICEM54116.2021.9732011","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732011","url":null,"abstract":"This study assessed the issues with musculoskeletal parts to identify where body pain occurs in relation to sitting time and other factors that relate with Pamantasan ng Cabuyao engineering students’ activities throughout the e-learning setup. Data needed are the specific activities during e-learning setup, time consumed in doing the activities, breaktime and frequency of breaktime that the students spent on each activity, body pains experienced and sitting time. Results of the study revealed that most of the respondents were male, belong to normal status, there is a significant relationship between sitting time and the body pains experienced by the students and there is no significant difference between the sitting time and the body pains experience when grouped according to profile. It was concluded that there is no proper allocation of breaktime to the students causing them to experience body pain. To address the problem, it is recommended to allot breaktime.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128701269","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}
John Kenneth Basilio, Jerome Maniacup, Jesus M. Martinez
{"title":"Face Mask and Face Shield Detection Using Image Processing with Deep Learning and Thermal Scanning for Logging System","authors":"John Kenneth Basilio, Jerome Maniacup, Jesus M. Martinez","doi":"10.1109/HNICEM54116.2021.9731972","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731972","url":null,"abstract":"With the crisis of the COVID-19 pandemic, it has become apparent in the Philippines that protocols need to be put in place that ensures the health and safety of the people. Included in those protocols is contact tracing and the proper use of masks and shields. The purpose of this research is to develop a system of face mask and face shield detection using image processing with deep learning and thermal scanning for logging system to automate the task of surveying and compliance to wearing of mask and shield. A model for classifying the five classes: face mask, face shield, face mask and face shield, none, and no face was created and trained using the MobileNet architecture, with collected dataset using the Maixduino camera. An overall accuracy of the entire system was found to be at 90%. No face and none classifications have provided results of above 90% in precision, sensitivity, specificity, and F1-Score. While values of the only mask, only shield, and both fluctuate in values in computations, their F1-scores still falls within the range of 80%-90% in performance. The implementation of the MobileNet model on the Maixduino board for was successfully accomplished with considerable classification capability.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988623","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}
Rex Paolo C. Gamara, R. Baldovino, Pocholo James M. Loresco
{"title":"Image-Based Shrimp Length Determination using OpenCV","authors":"Rex Paolo C. Gamara, R. Baldovino, Pocholo James M. Loresco","doi":"10.1109/HNICEM54116.2021.9731886","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731886","url":null,"abstract":"Shrimp species belong to the class of Crustacea under order Decapoda under suborder Natantia. The shrimp species are characterized with semi-transparent body which grow up to more than 20 cm. In terms of economic impact, the shrimp industry is considered highly profitable based on the studies by WorldAtlas and Philippine Statistics Authority. Therefore, as part of the necessary better management principles (BMPs), shrimp growth should be monitored. However, for the shrimp length is typically measured by a manual tool like rulers or calipers which is known to be a tedious process most especially when large number of samples are considered. Hence, in this study, image processing via OpenCV was utilized to estimate the length of shrimp species. The performance of the image-based approach is compared with the manual measurement and yielded a relative percent error of 6.23%. Based on the results, it can be concluded that the image-based approach can be utilized to determine the shrimp length.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881514","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}
Abraham C. Chua, Christian Rei B. Mercado, John Phillip R. Pin, Angelo Kyle T. Tan, Jose Benito L. Tinhay, E. Dadios, R. Billones
{"title":"Damage Identification of Selected Car Parts Using Image Classification and Deep Learning","authors":"Abraham C. Chua, Christian Rei B. Mercado, John Phillip R. Pin, Angelo Kyle T. Tan, Jose Benito L. Tinhay, E. Dadios, R. Billones","doi":"10.1109/HNICEM54116.2021.9731806","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731806","url":null,"abstract":"This study presents the use of image classification and deep learning in the field of insurance claims and management for the identification and assessment of damaged vehicle parts. Vehicular insurance claims on require appraisers to decide the damage of the vehicles. A two-level machine learning-based system was developed to classify different car parts (front bumper, rear bumper, and car wheels), and to detect the presence of any damages. The image dataset used in the study was obtained from a Google image. This dataset is used for training and validation of the convolutional neural network (CNN) model. The first model yields a training accuracy of 94.84% and validation accuracy of 81.25% for car parts classification. The second model yields a training accuracy of 97.16% and validation accuracy of 49.28% for damage identification.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125209676","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}
Mari Grace Corruz, Emil Filipina, Maria Julia Santiago, Sheila Mae Uy, Cristian Lazana, A. Bandala
{"title":"BahurApp: Development And Implementation Of Coral Bleaching Monitoring Application Using Convolutional Neural Network","authors":"Mari Grace Corruz, Emil Filipina, Maria Julia Santiago, Sheila Mae Uy, Cristian Lazana, A. Bandala","doi":"10.1109/HNICEM54116.2021.9731907","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731907","url":null,"abstract":"This study aims to improve the accuracy of the coral bleaching monitoring method through the development and implementation of mobile application that can classify bleached corals images from non-bleached images using convolutional neural network. Monitoring the reef will be significant in finding the extent of damage, the current state of the Philippine coral reefs, and the possible reefs of hope. The system operates using Convolutional Neural Network (CNN) in classifying the bleaching severity of the corals. It is currently running on Android phones from 4.0 release up to 11. Researchers found that at least 3000 images are needed to train the CNN of the proposed coral bleaching application to achieve at least 90% accuracy, and 0.92 MP, -1 EV and 1600 ISO produces 93% accuracy. Salinity and turbidity of seawater was tested and presented that 1.000-060 g/cm3 of salinity and turbidity using 500-1000 grams of sand does not have substantial effect on the proposed system’s accuracy. The GPS used in the proposed system is 95% accurate. Finally, the researchers recommend for the continuous improvement of the dataset to produce better results in the future.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128770854","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}
Elbert S. Moyon, Edsel Matt O. Morales, Jaymer M. Jayoma
{"title":"Design and development of a web GIS-based visualization and analytical platform for Farm-to-Market Road projects of the Philippines’ Department of Agriculture","authors":"Elbert S. Moyon, Edsel Matt O. Morales, Jaymer M. Jayoma","doi":"10.1109/HNICEM54116.2021.9731910","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731910","url":null,"abstract":"This paper presents the design and development of a web GIS-based visualization platform for Farm-to-market road (FMR) project implementations of the Department of Agriculture (DA) in the Philippines. In monitoring and implementing FMRs, issues like FMR project duplication, overlapping, and segmentation of road FMR constructions arise. IROAD or Integrated Road on Agricultural Development initially addresses these concerns. It is an online interactive MIS that aims to consolidate, store/manage, and analyze GIS-based data of DA and other National Government Agencies’ FMR projects. However, it is limited only to filtering and viewing Agricultural and Fisheries Infrastructure (AFI) projects according to specific criteria. Also, the process of map rendering and visualization is slow and laggy. These limitations mark developing a more sophisticated web GIS application that can facilitate the visualization and analysis of FMR implementations. The utilization of Free and Opensource Software (FOSS) like GeoDjango, GeoServer, PostgreSQL/PostGIS satisfies the storage and visualization requirements of the system. User experience was made easy in terms of data management and generation of reports with the help of readily available scripting and styling libraries like Leaflet, JavaScript, and Bootstrap. The application is advantageous not just for the community of FMR beneficiaries but also to the stakeholders and various implementing agencies, as this builds an FMR information system among themselves.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129283338","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}
Mark Neil Caronan, Angelo Kharlo Celon, Mary Joyce Recto, John Matthew San Miguel, Mark Jerome San Pedro, Cristian Lazana, Ana Liza R. Publico, A. Bandala
{"title":"Cocobot: Design and Implementation of a Robotic ARM to Ameliorate the Process of Stirring in the COCO Sugar Production in Alabat, Quezon","authors":"Mark Neil Caronan, Angelo Kharlo Celon, Mary Joyce Recto, John Matthew San Miguel, Mark Jerome San Pedro, Cristian Lazana, Ana Liza R. Publico, A. Bandala","doi":"10.1109/HNICEM54116.2021.9732010","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732010","url":null,"abstract":"This study aims to increase the yield of coco sugar production while ensuring the quality and cleanliness of the product through the design and implementation of an articulated arm for the stirring process of coco sugar production in Alabat, Quezon Province. An articulated robot arm is a robotic representation of human arm having three axes connected to two revolute bases. In order to design and implement the robotic arm, comparison between motors in terms of heat dissipation and time it takes to travel the work envelope is scrutinized to better actuate the joints of the proposed articulated robotic arm. Linear guides and DC geared motors are used for the three degrees of freedom which represents the shoulder, elbow and wrist part of the robot arm. A current sensor is connected to the DC geared motor on the wrist part of the arm which served as the viscosity sensing mechanism of the articulated robot arm. Arduino Uno is used as the microcontroller that controls the whole system. The stirring time to complete the process has decreased compared to the existing method while the yield of the coco sugar produced using the automated process increased compared to the yield produced using the manual process. The coco sugar produced using the automated process undergone third party testing and was compared to the standards established by the Philippine National Standards (PNS) in terms of physical, chemical and microbiological properties and have complied to these standards using the proposed process.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127946340","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}