2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献_第7页

Determination of Unsound Concrete using Non-Destructive Testing in a Smooth Concrete through various Image Processing Techniques 通过各种图像处理技术在光滑混凝土中使用无损检测来确定不健全混凝土

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/HNICEM54116.2021.9731921

Raven M. Dapiton, Jan Russel P. Gonzaga, Ramon G. Garcia

引用次数: 0

Bearing Fault Detection of a Single-phase Induction Motor Using Acoustic and Vibration Analysis Through Hilbert-Huang Transform 基于Hilbert-Huang变换的单相感应电机轴承故障声学与振动分析

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/HNICEM54116.2021.9732034

Michael Angelo R. Alicando, Gabriel M. Ramos, C. Ostia

{"title":"Bearing Fault Detection of a Single-phase Induction Motor Using Acoustic and Vibration Analysis Through Hilbert-Huang Transform","authors":"Michael Angelo R. Alicando, Gabriel M. Ramos, C. Ostia","doi":"10.1109/HNICEM54116.2021.9732034","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732034","url":null,"abstract":"Bearings are widely used as a low friction component for rotating machines. Engaging research on a bearing is vital to increase life span and improve the reliability of a motor. The main objective of this study is to design a bearing fault detection system for a single-phase induction motor using acoustic and vibration analysis through Hilbert-Huang Transform (HHT). An experimental se-tup was developed to measure the vibration and acoustic signal of a motor rated at 230V and with 125W nominal power. This study introduced an advanced approach to optimizing signals using MATLAB software based on the Hilbert-Huang Transform (HHT) technique. HHT can be used to describe nonlinear distorted waves in detail. Empirical Mode Decomposition (EMD) is the one that deals with the nonlinear and non-steady-state processes to extract complex signals into a finite number of Intrinsic Mode Functions (IMF) which should be achieved for Hilbert Transform (HT) to illustrate the energy time-frequency response of a system. This study successfully developed a single-phase induction motor fault detection system using HHT. The results showed that the inner race fault could be detected with 69% accuracy, outer race fault has 75%, Ball bearing fault has 87%, and contaminated bearing fault lubrication has 68%. The overall accuracy of the detection system could be achieved up to 74.75% accuracy.)","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"22 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":"129056771","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

Application of Health Hazard Indicators and Heatmap for Residents Living Near the Philippine National Railway (PNR) Trains in the National Capital Region (NCR) 国家首都地区(NCR)菲律宾国家铁路(PNR)列车附近居民健康危害指标和热图的应用

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/HNICEM54116.2021.9731902

Janice A. Abellana, E. J. L. Abellana

引用次数: 0

Analysis of Water Leaking Pipes using Impulse Radar: A Case Study in Surigao City, SDN Philippines 脉冲雷达对管道漏水的分析——以菲律宾苏里高市为例

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/HNICEM54116.2021.9731871

Robert R. Bacarro, V. J. Ylaya, R. R. Vicerra, Vicente Z. Delante

{"title":"Analysis of Water Leaking Pipes using Impulse Radar: A Case Study in Surigao City, SDN Philippines","authors":"Robert R. Bacarro, V. J. Ylaya, R. R. Vicerra, Vicente Z. Delante","doi":"10.1109/HNICEM54116.2021.9731871","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731871","url":null,"abstract":"Water distribution and transportation are carried out via subsurface plastic and metal pipelines. This study aims to determine the position of leaky pipes and discriminate between metal and plastic pipes to pick appropriate handling tools during excavation. Leaking pipes in the water distribution facility were identified through visual inspection and limited information about the position and kind of pipe, where rigorous excavation with proper instruments caused substantial damage to the water pipes. Meanwhile, the approach employs impulse radar, in which signals are broadcast to subsurface pipes, and the reflected signals are gathered and analyzed using a radargram. The simulation is carried out by using soil radargram results as a base, which are then compared to the radargram results of metal pipe, plastic pipe, metal pipe with water, plastic pipe with water, metal pipe with leaking water, and plastic pipe with leaking water which is buried underground in the soil. When examined to the soil radargram, the results reveal dissimilarities of radargram depiction of metal pipe, plastic pipe, metal pipe with water, plastic pipe with water, metal pipe with leaking water, and plastic pipe with leaking water.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"7 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":"130420296","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/HNICEM54116.2021.9731970

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/HNICEM54116.2021.9731970","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731970","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":"6 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":"126930785","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

Strawberry Quality Classification Utilizing Convolutional Neural Network 基于卷积神经网络的草莓品质分类

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/HNICEM54116.2021.9731924

L. Acero, Jonathan Daniel S. Ong, Christalline Jhine L. Shi, E. Dadios, R. Billones

{"title":"Strawberry Quality Classification Utilizing Convolutional Neural Network","authors":"L. Acero, Jonathan Daniel S. Ong, Christalline Jhine L. Shi, E. Dadios, R. Billones","doi":"10.1109/HNICEM54116.2021.9731924","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731924","url":null,"abstract":"Strawberry quality has been a crucial factor when it comes to consumer satisfaction. Having quality and cost-efficient strawberries would increase consumer satisfaction while increasing sales from the merchants’ perspective. As such, being able to classify strawberries into the desirable and undesirable categories would aid small businesses and consumers in determining whether the strawberries sold and bought are desirable based on key indicators such as shape and color. To address that, this study was conducted with the use of convolutional neural networks. The strawberry datasets used are a combination of a pre-classified dataset from another study and a dataset of images photographed solely for the purpose of this study. The images are classified as desirable and undesirable wherein 350 images of each set are used for training, 200 images for validation, and 100 images for testing. The generated CNN model is simulated using epochs=15 and batch size=8. The resulting CNN model has a training accuracy=98.41%, a validation accuracy=92.75%, and a testing accuracy=100% which makes the model efficient in classifying strawberries into the desirable and undesirable categories.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"38 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":"114407990","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

Swarm Collision Avoidance using Moving Particle Semi-Implicit Method 移动粒子半隐式避碰算法

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/HNICEM54116.2021.9732046

Joseph Aldrin T. Chua, L. G. Lim, Jeremias A. Gonzaga, Jose Martin Z. Maningo, A. Bandala, R. R. Vicerra, E. Dadios

引用次数: 1

Development of Smart Waste Bin Segregation using Image Processing 基于图像处理的智能垃圾箱分类系统的开发

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/HNICEM54116.2021.9732038

Froilan N. Jimeno, Briely Jay A. Briz, Marvin Roy P. Artiaga, Randy E. Angelia, Noel B. Limsangan

{"title":"Development of Smart Waste Bin Segregation using Image Processing","authors":"Froilan N. Jimeno, Briely Jay A. Briz, Marvin Roy P. Artiaga, Randy E. Angelia, Noel B. Limsangan","doi":"10.1109/HNICEM54116.2021.9732038","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732038","url":null,"abstract":"In the Philippines, solid waste management is still a significant problem. Improper waste disposal causes serious health problems and environmental risks such as contamination of the water systems, floods, ground and air pollution, and diseases. Unfortunately, most people mistakenly believe that not segregating waste is acceptable. This study aims to develop and design a Smart Waste Bin Segregation using Image Processing and assist waste segregation through waste identification and segregation built on machine learning capable of navigating the one-time path set by the user. In particular, create an intelligent waste bin segregation prototype using image processing with three classifications. These classifications are the biodegradable, non-bio-degradable, and unknown intended to segregate solid waste into its respective bins and conduct accuracy tests using appropriate statistical tools. This device is designed for school use and may also be used in other establishments if more waste is trained, alleviate the waste segregation problem and help build an eco-friendlier society without compromising health and hygiene. The proponents successfully materialized the device, and function tests yielded an overall result of 97.33% accuracy.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"20 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":"127988050","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: 5

Aerodynamic Analysis and Vibration Response of Spherical Shell with Meshed Net for Unmanned Aerial Vehicle Application 无人机用球面网壳气动分析及振动响应

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/HNICEM54116.2021.9731984

J. Pao, Charles Alver G. Banglos, Karl Martin A. Aldueso, C. J. Salaan, Jonathan C. Maglasang

{"title":"Aerodynamic Analysis and Vibration Response of Spherical Shell with Meshed Net for Unmanned Aerial Vehicle Application","authors":"J. Pao, Charles Alver G. Banglos, Karl Martin A. Aldueso, C. J. Salaan, Jonathan C. Maglasang","doi":"10.1109/HNICEM54116.2021.9731984","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731984","url":null,"abstract":"Shelled unmanned aerial vehicle (UAV) has proven to be efficient and effective in visually inspecting wide varieties of structure types in challenging locations including narrow or complex environments. In bridge inspection, shelled UAVs can encounter another problem considering the outdoor environment such as the presence of wind. Improving the flight performance by reducing the overall drag means decreasing the overall area of shell as well. However, this could danger the UAV because of the larger openings of the shell. Prospect solution is the additional protection of the spherical shell by adding meshed net. In this study, the aerodynamic characteristics of the fullerene type spherical shell with meshed net was investigated at different wind speeds and sideslip angles. Moreover, in the presence of wind, the spherical shell with and without meshed net will experience significant vibrations that will also affect the flight performance of UAV due to the combination of the wind load and its material structure. Thus, the vibration response was also investigated at different wind speeds. For the aerodynamic investigation, computational fluid dynamic (CFD) simulations and wind tunnel experiments were conducted to determine the performance of the shelled UAV with and without meshed net. The contribution of drag force by the spherical shell increased by an average of 3.95. For vibration response, a wind tunnel test was performed. Experimental data at different wind speeds were extracted and analysed via the MATLAB vibration toolbox. Based on the evaluation on the frequency-response, the spherical shell with multifilament fishing line mesh indicated higher amplitude value compared to the spherical shell with monofilament nylon mesh.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"23 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":"121302993","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

Integration of RESTFul API to Student Information System for Secured Data Sharing and Single Sign-on 将RESTFul API集成到学生信息系统中实现安全数据共享和单点登录

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/HNICEM54116.2021.9731898

Philip Alger M. Serrano, Joseph Jessie S. Oñate

{"title":"Integration of RESTFul API to Student Information System for Secured Data Sharing and Single Sign-on","authors":"Philip Alger M. Serrano, Joseph Jessie S. Oñate","doi":"10.1109/HNICEM54116.2021.9731898","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731898","url":null,"abstract":"Growth in the usage of REST APIs has been witnessed in recent years. Many businesses and companies, such as social media sites and online services, used API to interoperate with other benefits. REST was considered the most logical, efficient, and widespread standard in the creation of APIs. Hence, the main focus of the study is to develop a Web-Based Student Information RESTful API. This paper utilized the incremental model in the development of the system. A survey was used to validate the problems encountered in acquiring student information and determine the software quality based on ISO 9126 software quality metrics. Survey questionnaires were distributed to the system developers as the study respondents following the total population sampling technique. A five-point Likert scale was used to quantify the survey result and weighted mean to analyze and interpret the result. Based on the analysis and interpretation, the system developers recognized that the system is Acceptable with an average weighted mean of 4.44. This study also developed a profiling system that is connected to the Single Sign-On (SSO) API. The profiling system serves as the data source of student information of the REST API. Besides, the portal and the REST API were utilized by various information systems such as ID Generation Management System (SIGS), Event Management System (EMS), Faculty Performance Evaluation System (FPES), and Smart Card-based attendance and monitoring.","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":"129152568","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