2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献_第5页

Arduino Rice Pest Trap using Laser Sensor 使用激光传感器的Arduino水稻害虫诱捕器

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731920

Carlo N. Romero, Antipas T. Teologo, Arnel L. Nuesca

引用次数: 2

Web-Based Document Management System for PEP Squad Events and Marketing Services 基于web的PEP小组活动和营销服务文件管理系统

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9732033

Janelle Kyra A. Sagum

引用次数: 0

Fuzzy Logic Controlled Motor Speed in Rotating Aquaponics Based on Lactuca sativa Leaf Chlorosis and Necrosis and Environment Temperature 基于油菜叶片萎黄坏死与环境温度的旋转水培模糊控制电机转速

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731945

Heinrick L. Aquino, Ronnie S. Concepcion, A. Bandala, Christan Hail R. Mendigoria, Oliver John Y. Alajas, E. Dadios, J. Cuello

{"title":"Fuzzy Logic Controlled Motor Speed in Rotating Aquaponics Based on Lactuca sativa Leaf Chlorosis and Necrosis and Environment Temperature","authors":"Heinrick L. Aquino, Ronnie S. Concepcion, A. Bandala, Christan Hail R. Mendigoria, Oliver John Y. Alajas, E. Dadios, J. Cuello","doi":"10.1109/HNICEM54116.2021.9731945","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731945","url":null,"abstract":"Necrosis and chlorosis are some of the leaf conditions that contribute to losses in crop production, which is the browning and yellowing of leaves caused by improper irrigation and fertigation. A rotating aquaponics, crop cultivation conceptualized initially by NASA to save space and grow their food on space stations is the inspiration of application of this study. A fuzzy logic controlled (FLC) DC motor speed controller was developed using the Mamdani system to automate the rotating mechanism that is responsible for watering turns of lettuce crops. Using CIE L*, a*, color space, and environment temperature as input linguistic values, the motor speed will adjust depending on the status of the physical pigment condition of leaves as well as the intensity of temperature. The generated fuzzy logic controller has four triangular membership functions with 16 rules on each of the inputs. This resulted in four possible outputs of rotating aquaponics motor speed measured in rpm: very slow (0.25), slow (0.5), slightly fast (1.25), and fast (2). The modeled FLC was simulated in a Simulink environment in MATLABR2021 software and had a 10-step size and manifested essentially accurate results with 100% correct outputs based on input characteristics and rules developed. This developed FLC model is a substantial contribution to mitigating losses on lettuce crops grown under rotating aquaponics by automating the water absorption frequency depending on the status of the crop and the temperature of its environment.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"26 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":"134536621","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}

引用次数: 3

PUPRBLMS: Development And Acceptability of a Proposed Library Management System 图书馆管理系统的发展和可接受性

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731869

Dominador M. Acasamoso, Ernie C. Avila, Norman T. Ficundo

{"title":"PUPRBLMS: Development And Acceptability of a Proposed Library Management System","authors":"Dominador M. Acasamoso, Ernie C. Avila, Norman T. Ficundo","doi":"10.1109/HNICEM54116.2021.9731869","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731869","url":null,"abstract":"Managing the library in a university or school is not an easy task especially if it has huge number of books that is open for utilization and borrowing to students. The librarian faces challenges in tasks like tracking of the books on-borrow due to uncontrolled demand more particularly during examination period or research seasons. In this study, the proponents sought to measure the acceptability of the proposed Library Management System capable of handling tasks for library management. The proposed Library Management System was primarily implemented at the Polytechnic University of the Philippines, Ragay, Camarines Sur Branch to address the challenges of the university in terms of library management and was evaluated using a survey questionnaire that was participated by 64 students, 2 library staff, and 10 faculty members for the period of January to March 2020. Evaluation shows that there is an average rate of 4.18 with a verbal interpretation of highly acceptable. Given the evaluation results, it is believed that the proposed library management system can be implemented for library management.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"27 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":"133792150","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}

引用次数: 0

Neuro-Fuzzy based Safe Landing Control System for UAVs 基于神经模糊的无人机安全著陆控制系统

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9732007

Jullian Dominic D. Ducut, Alezander Mikhail O. Galindo, R. Billones, E. Dadios, I. Valenzuela

引用次数: 0

Application of Associative Classifier for Data Sparsity in Predictive Analysis Recommendation 关联分类器在数据稀疏性预测分析推荐中的应用

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731908

Abbigaile Anne Michico B. Cariño, John Isaiah A. Monteza, Jerome B. Tabia, R. Sagum

{"title":"Application of Associative Classifier for Data Sparsity in Predictive Analysis Recommendation","authors":"Abbigaile Anne Michico B. Cariño, John Isaiah A. Monteza, Jerome B. Tabia, R. Sagum","doi":"10.1109/HNICEM54116.2021.9731908","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731908","url":null,"abstract":"The researchers developed a web-based tool entitled, BizScout: Application of Associative Classifier for Data Sparsity in Predictive Analysis, which recommends an appropriate business that can be established in the chosen area of interest by utilizing associative classifier and apriori algorithm. The study aims to help individuals who plans to venture into entrepreneurship but lacks the knowledge on what business to start. Also, this study will help in regards to Computer Science students in terms of using Associative Classification on predictive analysis as well as apriori algorithm on data mining. The developed tool uses two main process the preprocessing and the Associative Classification. The developed tool resulted to 76.67% of accuracy in terms of business recommendations for the chosen area of interest and 4.44 weighted mean which is Moderately High for the appropriateness of the recommended business for the chosen location using associative classification.","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":"124288800","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}

引用次数: 0

Implementation of Project Study Courses at the Mechanical Engineering Program of FEU Tech During the COVID-19 Pandemic 新冠肺炎疫情期间天津理工大学机械工程专业项目学习课程的实施

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731894

M. Belino, H. F. R. Bosshard, I. V. Gue, J. D. Lopena, D. R. Rivera

{"title":"Implementation of Project Study Courses at the Mechanical Engineering Program of FEU Tech During the COVID-19 Pandemic","authors":"M. Belino, H. F. R. Bosshard, I. V. Gue, J. D. Lopena, D. R. Rivera","doi":"10.1109/HNICEM54116.2021.9731894","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731894","url":null,"abstract":"The threat of a massive spread of the SARS-CoV-2 virus in the Philippines prompted its government to implement community lockdowns all across the country. The first of which was implemented in Metro Manila beginning on 15 March 2020 and lasted up to 15 May 2020. During the lockdown, all schools were prohibited to conduct face-to-face classes while businesses were encouraged to implement work-from-home arrangements. FEU Institute of Technology (FEU Tech), located in Metro Manila, Philippines, was able to quickly adapt to the health crisis mainly due to its previous implementation of Canvas, an online learning management system, in 2017. The mechanical engineering department at FEU Tech revised its strategy in its implementation of its undergraduate Mechanical Engineering Project Study course (MEPROSTUD) to adapt to the class disruptions caused by the community quarantines imposed in Metro Manila. Comparing student performance before and during the pandemic, it was observed that there was a significant decline in oral communication and a significant improvement in written communication in MEPROSTUD1 and MEPROSTUD2, respectively. This paper documents the experiences of the mechanical engineering department at FEU Tech in its implementation of MEPROSTUD courses during the pandemic and intends to provide additional information to other engineering schools about how to remotely implement their undergraduate thesis courses.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"15 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":"134604954","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}

引用次数: 0

Solar-Assisted Electric Boat Power and Propulsion System Simulations 太阳能辅助电船动力与推进系统模拟

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9732023

F. Cruz, Bryx William C. Garcia, R. Gania, J. C. R. Nob, Ma. Purie Angela H. Bongon

{"title":"Solar-Assisted Electric Boat Power and Propulsion System Simulations","authors":"F. Cruz, Bryx William C. Garcia, R. Gania, J. C. R. Nob, Ma. Purie Angela H. Bongon","doi":"10.1109/HNICEM54116.2021.9732023","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732023","url":null,"abstract":"This paper created a digital representation of an electric boat’s power and electrical system to have an insight of the boat’s operation using the electrical components that will be installed in the electric boat. Having these insights will give the ability to explore options regarding the boat’s operation. A model of individual electrical components has been simulated and interconnected to mimic the boat’s operation. The power-speed curve of the electric boat was also curve-fitted to get the equation for ship powering. By comparing existing boat operation in the area, given the speed, the corresponding required power can be determined. Results show that the components selected is adequate for the boat’s operation. Results also show that improvements can be made with the solar assist system, addition of battery bank capacity while considering the battery weights, and strategic placing of charging stations along the deployment site and commencing charging while waiting for passengers.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"2 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":"133540695","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}

引用次数: 1

Design and Fabrication of an Arduino-Based Self-Balancing Walking Robot’s Lower Limb 基于arduino的自平衡行走机器人下肢的设计与制造

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9731968

Dave Jordan S. Cruz, John Luke M. Cruz, Laineer Aiken A. Dimaapi, Rachelle V. Galicia, E. B. Ang, J. Villaverde, J. R. Cunado

{"title":"Design and Fabrication of an Arduino-Based Self-Balancing Walking Robot’s Lower Limb","authors":"Dave Jordan S. Cruz, John Luke M. Cruz, Laineer Aiken A. Dimaapi, Rachelle V. Galicia, E. B. Ang, J. Villaverde, J. R. Cunado","doi":"10.1109/HNICEM54116.2021.9731968","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731968","url":null,"abstract":"The study is focused on the design and fabrication of a robot’s lower limb, taking into consideration different factors including the effect of center of mass (COM) and joint angular movements to achieve human walking pattern. The bipedal robot can balance and withstand a specific amount of force at rest and in motion while walking on an even straight path. The researchers used Arduino IDE in programming the robot to make it balanced at rest and stably walk while in motion. The robot’s ability to withstand and self-balance at an external force of not more than twenty millinewton while at rest and in motion was achieved in this study. The researchers also compared the motion of the robot to the characteristics of human walking pattern based on its stability and accuracy in terms of step length, center of mass, center of pressure and joint angular movements. The robot was able to produce data about its movement based on the accuracy of joint angles, step length, and data records of its COM.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"70 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":"131841092","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}

引用次数: 1

Classification of Healthy and Unhealthy Abaca leaf using a Convolutional Neural Network (CNN) 使用卷积神经网络(CNN)对健康和不健康的Abaca叶进行分类

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI: 10.1109/HNICEM54116.2021.9732050

Lyndon T. Buenconsejo, N. Linsangan

{"title":"Classification of Healthy and Unhealthy Abaca leaf using a Convolutional Neural Network (CNN)","authors":"Lyndon T. Buenconsejo, N. Linsangan","doi":"10.1109/HNICEM54116.2021.9732050","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732050","url":null,"abstract":"Early suppression or identification of Abaca plant diseases is one of the difficulties for the farmers in Abaca fields, relaying only to the manual process of identifying Abaca plant diseased which were lack of time efficiency and feasibility solution that can cause widespread outbreaks of the diseased Abaca plants. But through the help of the system using the Raspberry Pi 4 and the Raspberry Pi HQ camera, the developed prototype can identify the healthy and unhealthy leaves through the deep learning algorithm of the CNN upon the architecture method ResNet50. The system trained over 200 images sample through the gathered data by the researcher with two classification sets of images consisting of 100 healthy leaves and 100 unhealthy leaves samples under the approval and labeled by the PhilFIDA Catanduanes. The researcher manually took the data sets on the Abaca leaves from the Abaca plantation area in Barangay San Miguel Baras Catanduanes. The thorough division of the Abaca leaf training model by the CNN – ResNet50 and the accuracy training and validation rate reached 100%. The precision rate of the two-output data classification reached 100%.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"15 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":"114104914","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}

引用次数: 8