2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)最新文献_第10页

Seismic Vulnerability Assessment Of Public Elementary And Secondary School Buildings In District II Of Valenzuela City 巴伦苏埃拉市二区公立中小学建筑地震易损性评价

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666335

Ronnielyn M. Clemente, Aa Darilag, Lliandhea C. Figueroa, Kenneth R. Montoya, L. R. Perez, Jordan N. Velasco

引用次数: 0

A Non-Intrusive Method for Detecting Visual Distraction Indicators of Transport Network Vehicle Service Drivers Using Computer Vision 基于计算机视觉的交通网络车辆服务驾驶员视觉干扰检测方法

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666306

M. D. Castro, Joshua Rodgregor E. Medina, J. Lopez, J. D. Goma, M. Devaraj

{"title":"A Non-Intrusive Method for Detecting Visual Distraction Indicators of Transport Network Vehicle Service Drivers Using Computer Vision","authors":"M. D. Castro, Joshua Rodgregor E. Medina, J. Lopez, J. D. Goma, M. Devaraj","doi":"10.1109/HNICEM.2018.8666306","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666306","url":null,"abstract":"Driving for a prolonged period of time exposes a driver to numerous components that influence his/her conduct on the road such as visual, cognitive, and manual distractions. Detecting signs of distraction is an essential component in lessening the possibility of road accidents. This paper presents a model that detects a Grab driver’s lapse indicator that is mainly focused on visual distraction using a non-intrusive camera-based approach in hopes of contributing to the improvement of road safety technologies. The model primarily applies the concept of eye gaze to detect distraction cues. Manual annotation was conducted to compare it with the model’s predictions to assess the model’s effectivity. OpenFace was used to detect action units from the videos. The algorithm designed for the model reads the output file to fully detect distraction cues and apply time constraints. K-nearest neighbor was used to train the model and was validated by Kfold cross validation and has an 84% F-measure to indicate the detecting power.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045561","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

Slotted Circular Polarized Rectangular Microstrip Patch Antenna with Enhanced Bandwidth for Wireless Communication in 2.45GHz 用于2.45GHz频段无线通信的开槽圆极化矩形微带贴片天线

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666349

Mark Anthony Luzon, O. J. Gerasta

引用次数: 4

Water Quality Analysis: Ecological Integrity Conformance of Run-of-River Hydropower Plants 顺流水电厂水质生态完整性分析

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666363

Rose Ellen N. Macabiog, Jennifer C. Dela Cruz, Timothy M. Amado

{"title":"Water Quality Analysis: Ecological Integrity Conformance of Run-of-River Hydropower Plants","authors":"Rose Ellen N. Macabiog, Jennifer C. Dela Cruz, Timothy M. Amado","doi":"10.1109/HNICEM.2018.8666363","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666363","url":null,"abstract":"Hydroelectric power is a significant source of renewable energy generated by run-of-river hydropower plants. However, operation and maintenance of these plants pose a threat to the water quality of rivers. Diversion scheme adopted in these plants can substantially modify river ecosystems instream resulting to changes in the water quality parameters. These changes degrade the river ecosystem, thereby, compromising the health and growth of aquatic species. This study aimed to analyze water quality parameters used to evaluate the compliance to water quality standards. Based on DENR allowable values, change in temperature should not exceed 30 C and dissolved oxygen should not be lower than 5 mg/l. Regression analysis was used to establish relationships in analyzing water quality parameters. With the use of various regression machine learning models, the water quality dataset was modelled to predict the change in temperature and dissolved oxygen downstream using water level downstream and water temperature downstream as predictors. Based on the Stochastic Gradient Boosting Model, while the water level downstream decreases and the water temperature downstream increases, the change in temperature increases. Based on the Linear Model or the Ridge Model, while the water level downstream decreases and the water temperature downstream increases, the dissolved oxygen downstream relatively decreases.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117353185","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

A Voice Activity Detection Model Composed of Bidirectional LSTM and Attention Mechanism 基于双向LSTM和注意机制的语音活动检测模型

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666342

Yeonguk Yu, Yoonjoong Kim

引用次数: 4

Analysis of Vehicle Survival Rates for Metro-Manila 马尼拉大都会区车辆存活率分析

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/hnicem.2018.8666408

M. Rith, J. Soliman, A. Fillone, J. B. M. Biona, N. S. Lopez

{"title":"Analysis of Vehicle Survival Rates for Metro-Manila","authors":"M. Rith, J. Soliman, A. Fillone, J. B. M. Biona, N. S. Lopez","doi":"10.1109/hnicem.2018.8666408","DOIUrl":"https://doi.org/10.1109/hnicem.2018.8666408","url":null,"abstract":"Metro Manila, the national capital region of the Philippines, has led all regions in vehicle fleet and a compulsory vehicle scrappage standard has yet to be implemented. This paper aims to develop Metro Manila’s vehicle survival rates, using the Weibull Distribution function and the data of vehicles registered in the Land Transport Office (LTO). A novel computation procedure is proposed how to develop the vehicle survival and scrappage rates for a metropolis not implementing the scrappage standard. The vehicles are classified into main three types: car, utility vehicle (UV) and bus. The results highlighted that the current average life spans for car, UV and bus are 14.225, 13.929 and 11.529 years, respectively. The developed vehicle survival rates were used to calculate the scrappage rates and the cumulative scrappage rates, being very informative for projection of Metro Manila’s vehicle fleet and scrappage intensity, and beyond that the computation procedure proposed in this paper is considerably important to develop vehicle survival rates for other countries having no data of vehicle scrappage intensity and distribution of vehicles by age.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128710410","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

IoT-based Gait Monitoring System for Static and Dynamic Classification of Data 基于物联网的静态和动态数据分类步态监测系统

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666277

Xiorence J. Cai, Jonathan Isaac E. Ignacio, Ellouise F. Mendoza, Danilo Rabino, Rhenz Patrick G. Real, Edison A. Roxas

{"title":"IoT-based Gait Monitoring System for Static and Dynamic Classification of Data","authors":"Xiorence J. Cai, Jonathan Isaac E. Ignacio, Ellouise F. Mendoza, Danilo Rabino, Rhenz Patrick G. Real, Edison A. Roxas","doi":"10.1109/HNICEM.2018.8666277","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666277","url":null,"abstract":"The motor capability of a human is an essential factor to perform various tasks. In most cases, a person with health problems such as diabetes is observed to have a declining motor functions. When this declining motor function is not monitored, this may result to severe health problems that may lead to death. There have been many studies that allow the observation and analysis of the gait movement of a person whether he is in static or dynamic state. However, to accurately observe the person’s condition, health monitoring is needed. But most monitoring techniques introduced are limited to a certain space and time making it inconvenient for patients and medical practitioners. Thus, this paper will focus on implementing an IoT-based smart system capable of managing, interpreting and storing data from the patient’s gait pattern through Inertial Measurement Unit (IMU) sensors. The main contribution of this study is the ability to differentiate whether the person is in static or dynamic motion for that certain period of time and creates a storage of these classifications.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131600914","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

Sunflower Inspired Solar Tracking Strategy: A Sensorless Approach for Maximizing Photovoltaic Panel Energy Generation 向日葵启发的太阳能跟踪策略:最大化光伏板能量的无传感器方法

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666379

Rexel U. Sabran, Arnel C. Fajardo

{"title":"Sunflower Inspired Solar Tracking Strategy: A Sensorless Approach for Maximizing Photovoltaic Panel Energy Generation","authors":"Rexel U. Sabran, Arnel C. Fajardo","doi":"10.1109/HNICEM.2018.8666379","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666379","url":null,"abstract":"Solar tracking systems typically uses sun pointing sensors to accurately determine the sun’s position and maintain the PV panel perpendicular to the direct beam of the solar radiation to maximize energy generation. However, sun pointing sensors are ineffectual without the presence of the sun and in the strong occurrence of reflected light; and are susceptible to tracking errors due to improper installation and effects of varying weather conditions. This in turn leads to poor tracking performance which adversely affects the energy generation of PV panels. To address this weakness, a sunflower inspired solar tracking strategy that mimics the heliotropic behavior of sunflowers was developed. The scheme utilizes the light-generated current from the PV panel working in conjunction with the Real Time Clock module to infer the apparent location of the sun as it traverses the sky during daytime. The performance of the single axis sensorless prototype was assessed in terms of tracking error and energy gained. The result of the experiment conducted shows that the proposed strategy achieved an average tracking error of 0.727° under different weather conditions, while sustaining an estimated average percent power loss of 0.287%. This maximizes the available solar energy received by the PV panel by 99.7%. Thus, the sunflower inspired solar tracking strategy is able to maximize energy generation. As a result, an estimated energy gain of 20.5% over an optimally tilted fixed panel was achieved.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634023","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

Implementation of a Low-power Wireless Sensor Network for Smart Farm Applications 智能农场应用低功耗无线传感器网络的实现

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666262

R. Baldovino, I. Valenzuela, E. Dadios

引用次数: 9

Migrating Office Processes to Automation: An Evaluation on Green IT Practices in a University in the Philippines 将办公流程迁移到自动化:对菲律宾一所大学绿色IT实践的评估

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) Pub Date : 2018-11-01 DOI: 10.1109/HNICEM.2018.8666418

Roseclaremath A. Caroro, Alexander A. Hernandez

{"title":"Migrating Office Processes to Automation: An Evaluation on Green IT Practices in a University in the Philippines","authors":"Roseclaremath A. Caroro, Alexander A. Hernandez","doi":"10.1109/HNICEM.2018.8666418","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666418","url":null,"abstract":"Several endeavors of adopting green IT takes place in various organizations, ranging from manufacturing to end-user IT utilization. However, there is no existing literature citing green IT adoption in the universities of the Philippines, including the practices, implementation, and green IT stewardship. Hence, this study sought the extent of green IT implementation in a university for environmental sustainability and operational cost reduction and to contribute to its endeavor of strengthening the green IT stewardship and implementation. The study used a quantitative method in gathering and analyzing the using a questionnaire developed from past studies. Besides, it obtained the mean responses of the different green IT practices as well as the significant difference between the green operational IT practices of the groups of respondents. The result showed that the university already started implementing green IT in its operational and procedural practices, although it is still not fully strengthened and steward. Thus, there is a need for a balanced implementation and stewardship of these practices in order to fully implement green IT. Moreover, the result further implies that a more focused green IT stewardship is necessary to give comprehensive awareness of its implementation, its impact on the environment and the university’s sustainability.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123547026","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: 2