2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献_第10页

Vibration-based Structural Health Monitoring System for Bridges using ADXL345 Accelerometer with MATLAB Standalone Application 基于ADXL345加速度计的桥梁结构振动健康监测系统

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400068

Rolando Dll. De La Torre, Garnet Amor E. Pasobillo, Maricris F. Rebueno, Donnabel P. Suñga, Bennyvic Joyce J. Esguerra, Ronnie S. Concepcion

{"title":"Vibration-based Structural Health Monitoring System for Bridges using ADXL345 Accelerometer with MATLAB Standalone Application","authors":"Rolando Dll. De La Torre, Garnet Amor E. Pasobillo, Maricris F. Rebueno, Donnabel P. Suñga, Bennyvic Joyce J. Esguerra, Ronnie S. Concepcion","doi":"10.1109/HNICEM51456.2020.9400068","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400068","url":null,"abstract":"The study designed a Vibration-based Structural Health Monitoring (VBSHM) using ADXL345 accelerometer with a wireless sensor network using radio frequency module to detect crack and monitor status of bridge in order to prevent catastrophic failures. A microcontroller ATmega2560 Arduino controls the activities of the system and a real time clock module was added for time synchronization. MATLAB standalone application was built for analyzation and data recording. The researchers used three sensor nodes as the primary device of the system and base station for data monitoring. To test the functionality and reliability of the system, the researchers used three miniature bridges. At 100 hertz the bridges were tested under two factors, the intensity of crack and strength of vibration. A two-way ANOVA was used to analyze the effect of the factors on the readings of the system. The output shows intensities of crack and strength of vibration has a significant effect on the readings.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133508596","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

Deep Imitation Learning for Safe Indoor Autonomous Micro Aerial Vehicle Navigation 安全室内自主微型飞行器导航的深度模仿学习

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9399994

R. J. Candare, Rolyn C. Daguil

{"title":"Deep Imitation Learning for Safe Indoor Autonomous Micro Aerial Vehicle Navigation","authors":"R. J. Candare, Rolyn C. Daguil","doi":"10.1109/HNICEM51456.2020.9399994","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9399994","url":null,"abstract":"Drones or MAVs are cyber-physical systems that have become ideal platforms for many applications in outdoor settings. Autonomous navigation in these outdoor settings has been effectively done using global positioning systems (GPS). Many human MAV pilots have demonstrated skills in controlling MAVs to maneuver in narrowed spaces indoors. However, this skill is hard to automate. Global positioning systems are unreliable indoors and in cluttered and confined environments. SLAM, being the most widely used analytical method, addresses the navigation problem by rendering a spatial map of an environment in which the Agent navigates while simultaneously localizing the Agent relative to this map. The main downside of SLAM is that rendering an entire map requires a large amount of computation, and rule-based techniques often lose their robustness in corner cases or situations that were not accounted for in developing the rules. Hence, learning directly from human demonstrations could produce improved results for complex tasks, particularly in sensor-limited systems. In this study, a policy that safely navigates a MAV through an indoor environment is learned through deep imitation learning. To effectively learn a policy that is robust to the domain or environment shifts, an ideal combination of monocular depth estimate and dense optical flow was determined to serve as state representation. Three different deep convolutional neural network architectures, namely, CNN, LSTM-RNN, and 3D CNN, were explored and developed to encode the navigation policy from expert demonstrations. The performance of these policies was then tested in a real environment. Results show that the CNN and 3D CNN policies successfully navigated the MAV around the obstacle set in the test environment while the LSTM-RNN did not. The Success Rate for CNN, LSTM-RNN, and 3D CNN were 90%,0%, and 90%, respectively.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131246233","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

Grading and Profiling of Coffee Beans for International Standards Using Integrated Image Processing Algorithms and Back-Propagation Neural Network 基于集成图像处理算法和反向传播神经网络的咖啡豆国际标准分级和轮廓分析

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400086

Jessie R. Balbin, C. D. Del Valle, Van Julius Leander G. Lopez, Rogelito F. Quiambao

{"title":"Grading and Profiling of Coffee Beans for International Standards Using Integrated Image Processing Algorithms and Back-Propagation Neural Network","authors":"Jessie R. Balbin, C. D. Del Valle, Van Julius Leander G. Lopez, Rogelito F. Quiambao","doi":"10.1109/HNICEM51456.2020.9400086","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400086","url":null,"abstract":"Coffee has become one of the Philippines' main beverages in recent years, exporting quality coffee all over the world. Most specialty coffees have been sorted and processed by hand. There was a lack of integration with modern technology concerning the evaluation of coffee beans of which lead to lower yield due to little personnel as sorting of coffee beans are generally done by a trained expert. To solve the problem, recent researches about integrating image processing techniques in industrialization has become more apparent apart from only a few that focus on the different features of a coffee bean. The focus of this paper is to create a device that can evaluate the size, quality, and roast level of a batch of the coffee bean through the use of image processing techniques and Back Propagation Neural Network. BPNN would serve as the brain of the device to determine these features. This study would use different image processing techniques such as K-mean shift, Blob, and Canny Edge to extract the features of the coffee beans and use Red Green Blue Analysis, Hu's Moment, and Blob Analysis to make use of these features and feed it into the BPNN. The coffee beans used in the study are obtained and sorted from the Philippine Coffee Board Inc.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131248417","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: 4

Design and Installation of a Control System for an Open-Circuit Wind Tunnel 开路风洞控制系统的设计与安装

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/hnicem51456.2020.9400153

Emmanuelle R. Biglete, M. Manuel, Michael B. Cardone, Ysabelle L. Manuel, Martina Louaine M. Pilar, John Rendell S. Santos, J. D. dela Cruz, Marvin S. Verdadero

{"title":"Design and Installation of a Control System for an Open-Circuit Wind Tunnel","authors":"Emmanuelle R. Biglete, M. Manuel, Michael B. Cardone, Ysabelle L. Manuel, Martina Louaine M. Pilar, John Rendell S. Santos, J. D. dela Cruz, Marvin S. Verdadero","doi":"10.1109/hnicem51456.2020.9400153","DOIUrl":"https://doi.org/10.1109/hnicem51456.2020.9400153","url":null,"abstract":"Wind Tunnel is a chamber used by aerodynamicists to conduct various tests to acquire aerodynamics forces on a scaled model as wind speed and angle of attack will be varied in this experimental set-up. This study focused on the design and installation of a control system for an open circuit wind tunnel to monitor and manipulate certain parameters for airfoil testing, specifically angle of attack and wind speed. Through the designed control system, trials for the analysis of aerodynamic performance of a sample airfoil were conducted by determining the lift and drag forces acting upon the airfoil that is being tested. The researchers integrated a data logger to the control system for the real-time recording of the data gathered throughout the test for further analysis. In this study, the control system for the open circuit wind tunnel consists of the following sensors and electrical components: a 3D printed pitot tube for the wind speed reading, a fan for the airflow generation, a servomotor for the control of the angle of attack of the airfoil, multiple load cells for the lift and drag forces readings, a data logger for the data collection, and a smoke generator to allow the flow visualization occurring around the airfoil. The researchers also conducted the calibration of each component of the control system to ensure accurate results for experiments that were conducted.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134512223","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

Smart Irrigation Control System Using Wireless Sensor Network Via Internet-of-Things 基于物联网的无线传感器网络智能灌溉控制系统

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9399995

Christine Joy H. Pornillos, Mark Stephen O. Billones, J. Leonidas, Erica May A. Reyes, Bennyvic Joyce J. Esguerra, Dominic P. Bolima, Ronnie S. Concepcion

{"title":"Smart Irrigation Control System Using Wireless Sensor Network Via Internet-of-Things","authors":"Christine Joy H. Pornillos, Mark Stephen O. Billones, J. Leonidas, Erica May A. Reyes, Bennyvic Joyce J. Esguerra, Dominic P. Bolima, Ronnie S. Concepcion","doi":"10.1109/HNICEM51456.2020.9399995","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9399995","url":null,"abstract":"Nowadays, humans tend to rely on anything that is equipped with automatic control. One of the applications is in the field of agriculture. In order to help in water conservation and less human labor, the researchers designed a smart irrigation control system with the help of wireless sensor networks through the use of a customized server as an Internet–of–things platform. In achieving the objectives of the study, the researchers used both developmental and experimental methods to determine the accuracy and functionality of the system and to measure the water consumption comparison between a smart irrigation control system and conventional method of irrigation. Wemos D1 Mini was used as the main microcontroller of this study. T–test was used as the statistical tool to determine if the experiment results are significant. The design and development of a microcontroller–based wireless sensor network improves the way of irrigation system with effective functionality of every components in the system. The system is accurate in terms of its sensing capabilities and accuracy. Based on the findings of the study, the plants are sufficiently and automatically supplied with certain water requirement.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131673826","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: 10

Structural Health Fuzzy Classification of Bridge based on Subjective and Objective Inspections 基于主客观检测的桥梁结构健康模糊分类

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400054

Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Vincent Jan D. Almero, Justin D. de Guia, Ramón Flores, A. Bandala, E. Dadios

{"title":"Structural Health Fuzzy Classification of Bridge based on Subjective and Objective Inspections","authors":"Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Vincent Jan D. Almero, Justin D. de Guia, Ramón Flores, A. Bandala, E. Dadios","doi":"10.1109/HNICEM51456.2020.9400054","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400054","url":null,"abstract":"Bridge structural health monitoring (BSHM) and management system is an aid for systematized logistics and management for bridge assessment and recondition. BSHM is inherently formed by visual, advanced, and non-destructive technical inspections. Optimal criterion per parameter is one of the crucial actions in classifying the current condition of bridges. Inconsistency and variation of fundamental parameters makes the process challenging. But there are dominant efforts in determining the preeminent parameters that can only be done after diverse and recursive experiments. On the other side, most prevalent structure condition classification methods are morphologically and linguistically rated, showing impreciseness and uncertainties in evaluations. This paper proposed a new fuzzy system assumed or based on both the objective assessment and subjective approach, along with the optimum value of parameters based on reconstructed data. The best possible fixed and variable parameters of the system's model will be designated as the input for the fuzzy model with membership functions utilizing the concept of the statistical distributions and cognitive limitations. Fundamental arithmetic rules of the fuzzy expert system made the the condition rating of the fuzziness of the system. fuzzy inference systems being one of the established structures for noise tolerance (uncertain and unprecise). The proposed system can be a leading- edge technique for current structural health classification for bridges.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131697925","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: 4

The Effect of Various Ultra High Frequency Radiation on the Evolution of the Staphylococcus aureus 各种超高频辐射对金黄色葡萄球菌进化的影响

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/hnicem51456.2020.9400142

Angelica Cordero-Samortin, J. D. dela Cruz, Ramon G. Garcia, Zoren P. Mabunga

{"title":"The Effect of Various Ultra High Frequency Radiation on the Evolution of the Staphylococcus aureus","authors":"Angelica Cordero-Samortin, J. D. dela Cruz, Ramon G. Garcia, Zoren P. Mabunga","doi":"10.1109/hnicem51456.2020.9400142","DOIUrl":"https://doi.org/10.1109/hnicem51456.2020.9400142","url":null,"abstract":"The World Health Organization (WHO) has declared the outbreak of Coronavirus disease 19 (COVID-19) on March 2020. Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV2) is the cause of the COVID-19 disease. Staphylococcus aureus, like SARS-CoV2, is a harmful microorganism. Once the skin is breached, S. aureus can cause infections like pneumonia and skin infections. The coinfections between these two microorganisms present high risk on human health. This study deals with investigating the effect of electromagnetic radiation on Staphylococcus aureus. It focuses on exposing the S. aureus bacteria samples to different Ultra High Frequencies (UHF). The number of bacterial colonies that grew from the exposed sample and unexposed samples were assessed. The average bacterial growth was 90.51%. This means that some of the bacteria did not survive after exposure to radiation. This result showed that some of the UHFs had affected the growth of Staphylococcus aureus. The correlation between the frequency and the growth of the bacteria was also calculated by means of computing the Pearson Correlation coefficient. The result is 0.4344 which signifies a small positive linear relation between the two parameters mentioned. These results can be preliminary stage on exploring other possible application of electromagnetic radiation in prevention of diseases.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133858672","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

Trends in Nanotechnology in the Philippines and Laos Agricultural Industry 纳米技术在菲律宾和老挝农业工业中的发展趋势

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400063

Lue Xiong, Ronnie S. Concepcion, G. N. C. Santos, Jeremias A. Gonzaga, L. G. Lim, E. Dadios

{"title":"Trends in Nanotechnology in the Philippines and Laos Agricultural Industry","authors":"Lue Xiong, Ronnie S. Concepcion, G. N. C. Santos, Jeremias A. Gonzaga, L. G. Lim, E. Dadios","doi":"10.1109/HNICEM51456.2020.9400063","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400063","url":null,"abstract":"The nanotechnology application farming has been developed a leading IoT -agricultural controlling process, especially agricultural industry farming. However, Nanotechnology is no widely employed in the Philippines and Laos agricultural industry because nanotechnology is still not implemented broadly. In this study of nanotechnology in the Philippines and Laos agricultural industry is explored and analyzed, on the agricultural system to be quality and safety food, increase technical capacity inputs of agricultural less soil by using nutrients management. Provide the application of nanotechnology to analysis, the purpose of agriculture modern innovation in the growing vegetables industry sustainable, healthy life, aim nanotechnology agricultures to take off the amount of fertilization, chemical and increased yield via nutrient solution. Analysis the trend nanotechnology is improving the agricultural farming controlling the growth state lighting capacity of plants to absorb nutrients among the yield of specific published papers from 2011 to 2020 by using the mathematic linear equation y = 19.758x – 39707, this signification papers must be increase nanotechnology in agriculture industries 406.58% from 2010–2050 in term of higher R2 = 0.9974 through Microsoft Excel. Such as the predictable possibility to approach the controlling system, nanotechnology products and increase the crop of agricultural planting to sustainable in the Philippines and Laos area of nanotechnology in the improvement.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129256696","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

Virtual Reality Experience Promoting Accident-Free Educational Tour for Primary Level Students via WLAN Unity-Arduino Application 虚拟现实体验，通过无线局域网Unity-Arduino应用促进小学生无事故教育之旅

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400010

A. Paglinawan, Ernesto M. Vergara, Aaron Christian F. Corpuz, Ynehl Carlo S.D. Go, Clairon L. Jeresano, J. N. Velasco, C. Paglinawan

引用次数: 0

Image-Processing-based Digital Goniometer using OpenCV 基于OpenCV的图像处理数字角计

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI: 10.1109/HNICEM51456.2020.9400106

Dhoby Schon Fitz Bumacod, Jemuel Vince Delfin, N. Linsangan, Randy E. Angelia

引用次数: 9