2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )最新文献_第3页

Performance Evaluation of a Synchronous DC-DC Boost Converter with Adjustable Output Current 输出电流可调的同步DC-DC升压变换器的性能评价

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072830

Myla B. Cabanada, Jesus M. Martinez, Eryl Nico Morales, Flordeliza L. Valiente, Oliver Mallari

{"title":"Performance Evaluation of a Synchronous DC-DC Boost Converter with Adjustable Output Current","authors":"Myla B. Cabanada, Jesus M. Martinez, Eryl Nico Morales, Flordeliza L. Valiente, Oliver Mallari","doi":"10.1109/HNICEM48295.2019.9072830","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072830","url":null,"abstract":"The research aims to implement a 450Watts synchronous DC-DC boost converter with an adjustable output current operation. A unit was built and tested. The power supply unit (PSU) was designed for battery charging applications and designed to perform in continuous conduction mode and to operate at two modes: constant-voltage (CV) and constant-current (CC). Initially the PSU was operating at CV Mode. Once the PSU reached the current limit, power supply operates at constant current mode, the power supply acts as a current source with varying output voltage depending on the value of the load resistance. The PSU uses the inherent fault protections of main controller such as cycle-by-cycle current limiting, inrush current limiting, hiccup mode short circuit/overload protection, and the researchers implement over-voltage protection (OVP), over-temperature protection (OTP), and reverse polarity protection (RPP) by using additional comparator circuitry. The results presented in this study show that the design is has a regulated output voltage of 53.9V with maximum of 236mV peak-to-peak voltage ripple and 120mA peak-to-peak current ripple which was measured at full load condition. Through the constant voltage test, the unit can maintain a constant output current from 2A up to 8A by adjusting the potentiometer. The 96% efficiency was achieved at 3A load from an input voltage range of 11.34V to 13.86V.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73200492","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

Development of Charge Level Monitoring of Lead-Acid Battery Bank for PV System using Fuzzy Logic in LabView 在LabView中应用模糊逻辑开发光伏系统铅酸蓄电池组电量监测

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9073361

Leonardro A. Venancio, Armyn C. Sy, R. Bedruz, E. Dadios

引用次数: 0

YOLO-based Threat Object Detection in X-ray Images 基于yolo的x射线图像威胁目标检测

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9073599

Reagan L. Galvez, E. Dadios, A. Bandala, R. R. Vicerra

{"title":"YOLO-based Threat Object Detection in X-ray Images","authors":"Reagan L. Galvez, E. Dadios, A. Bandala, R. R. Vicerra","doi":"10.1109/HNICEM48295.2019.9073599","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073599","url":null,"abstract":"Manual detection of threat objects in an X-ray machine is a tedious task for the baggage inspectors in airports, train stations, and establishments. Objects inside the baggage seen by the X-ray machine are commonly occluded and difficult to recognize when rotated. Because of this, there is a high chance of missed detection, particularly during rush hour. As a solution, this paper presents a You Only Look Once (YOLO)based object detector for the automated detection of threat objects in an X-ray image. The study compared the performance between using transfer learning and training from scratch in an IEDXray dataset which composed of scanned Xray images of improvised explosive device (IED) replicas. The results of this research indicate that training YOLO from scratch beats transfer learning in quick detection of threat objects. Training from scratch achieved a mean average precision (mAP) of 45.89% in 416×416 image, 51.48% in 608×608 image, and 52.40% in a multi-scale image. On the other hand, using transfer learning achieved only an mAP of 29.54% while 29.17% mAP in a multi-scale image.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73830770","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: 9

Understanding Anonymous Social Media Posts using Topic Modeling 使用主题建模理解匿名社交媒体帖子

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072791

John Daniel M. Valencia, Al Joseph T. Laure, Niño Mark R. Centino, Bernie S. Fabito, Joseph Marvin Imperial, Ramon L. Rodriguez, Angelica De La Cruz, Manolito V. Octaviano, Marilou N. Jamis

{"title":"Understanding Anonymous Social Media Posts using Topic Modeling","authors":"John Daniel M. Valencia, Al Joseph T. Laure, Niño Mark R. Centino, Bernie S. Fabito, Joseph Marvin Imperial, Ramon L. Rodriguez, Angelica De La Cruz, Manolito V. Octaviano, Marilou N. Jamis","doi":"10.1109/HNICEM48295.2019.9072791","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072791","url":null,"abstract":"Social Media holds a substantial amount of text data that can help organizations better understand their clients. For students of National University (NU) – Manila, Facebook serves as a medium to express their opinions and create topics for discussion that may generally speak about the University. Through Topic Modeling using Latent Dirichlet Allocation (LDA), various experiments were conducted to identify the topics discussed by the students based on the highest coherence score value obtained. From these experiments, a total of twenty (20) topics with Alpha and Beta values set to one (1) revealed the highest coherence. The topics were labeled and revealed interesting insights. Personal relationships and school-related concerns were the common topics posted on the two Facebook pages. To further improve the study, a chronological approach for topic modeling is recommended.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81868771","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

Automated Short-Term Load Forecasting Using Modified Stochastic Hour Ahead Proportion (SHAP) Analysis 基于改进的随机小时前比例(SHAP)分析的短期负荷自动预测

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9073407

Adrian Jose D. Antoja, Patrick Amiel O. Lafamia, Clarizza Allen B. Yang, G. Magwili, R. Santiago

{"title":"Automated Short-Term Load Forecasting Using Modified Stochastic Hour Ahead Proportion (SHAP) Analysis","authors":"Adrian Jose D. Antoja, Patrick Amiel O. Lafamia, Clarizza Allen B. Yang, G. Magwili, R. Santiago","doi":"10.1109/HNICEM48295.2019.9073407","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073407","url":null,"abstract":"The accuracy of the electricity demand forecast is important in the operations of a power system. The objective of this paper is to generate an automated forecast model with better accuracy than its predecessors. The Automated ShortTerm Load Forecasting Using Modified Stochastic Hour Ahead Proportion (SHAP) Analysis is generated using the C# program. The constructed application would then use an excel spreadsheet to input data. Therefore, the data would be used as a basis for the construction of the forecast model. The output would then display the equation and the graph of the constructed forecast model. Based on the output of the program, the generated forecast model has a MAPE and SDE value of 0.941725 and 1.149855 respectively. The MAPE and SDE value of the generated forecast model is significantly lower than the MAPE and SDE values of the SHAP, WMA, SHAP-WMA which are 3.765681 and 2.822254, 5.610123 and 10.312887, 3.278946 and 3.055406 respectively. This comparison shows that the Modified SHAP Analysis is statistically better than its predecessors.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82103252","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

Public and Private Vehicle Quantification and Classification using Vehicle Detection and Recognition 基于车辆检测与识别的公私车辆量化与分类

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072836

L. Ambata, Isabel Angela P. del Castillo, Jeremiah Rod H. Jacinto, Cellix Mark T. Santos

引用次数: 2

A Fuzzy Logic Approach for Fish Growth Assessment 鱼类生长评价的模糊逻辑方法

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072756

Jo-Ann V. Magsumbol, Vincent Jan D. Almero, Marife A. Rosales, A. Bandala, E. Dadios

引用次数: 3

Optimal Synthesis of Algal Biorefineries for Biofuel Production Based on Techno-Economic and Environmental Efficiency 基于技术经济和环境效率的生物燃料生产藻类生物精炼厂的优化合成

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072730

A. Culaba, J. Juan, P. M. Ching, A. Mayol, E. Sybingco, A. Ubando

{"title":"Optimal Synthesis of Algal Biorefineries for Biofuel Production Based on Techno-Economic and Environmental Efficiency","authors":"A. Culaba, J. Juan, P. M. Ching, A. Mayol, E. Sybingco, A. Ubando","doi":"10.1109/HNICEM48295.2019.9072730","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072730","url":null,"abstract":"Biomass derived from microalgae is an emerging technology and attractive alternative source for biofuels. However, its exclusive production cannot be feasibly commercialized because of economic and environmental sustainability issues. The biorefinery concept allows microalgae to be efficiently converted into biofuels and other high-valued products, such as cosmetics, nutraceuticals, and pharmaceuticals. Nonetheless, this venture would require large capital investments that must be strategically scheduled across the lives of the investments, while keeping a reliable forecast of market growth. A multi-period multi-objective mixed integer non-linear programming (MINLP) model is proposed in this study to determine optimal investment schedule and operational decisions that would simultaneously maximize the net present value (NPV) and minimize the greenhouse gas (GHG) emissions of an algal biorefinery. An illustrative case study and scenario analyses demonstrate the validity and the capabilities of the proposed model.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81753277","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: 7

Utilization of Food Waste as Materials for Composite Plastic Tile 餐厨垃圾作为复合塑料瓦材料的利用

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072839

Wilfredo A. Claur, Jessa Cristie Montaño, Ezyl Sarita, Andrew Gumawa, Joevan Guilleran, K. Caceres, Adrian Langcoy, Krizia Marie Monotillia, Karce Ortiz, Mark Rioffer, Jinky Damas, Jerson Mag-aso, Ahenor Almaquer

{"title":"Utilization of Food Waste as Materials for Composite Plastic Tile","authors":"Wilfredo A. Claur, Jessa Cristie Montaño, Ezyl Sarita, Andrew Gumawa, Joevan Guilleran, K. Caceres, Adrian Langcoy, Krizia Marie Monotillia, Karce Ortiz, Mark Rioffer, Jinky Damas, Jerson Mag-aso, Ahenor Almaquer","doi":"10.1109/HNICEM48295.2019.9072839","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072839","url":null,"abstract":"Nature has a lot to offer to people. Source of food and income are just few. Waste from natural sources of food is abundant in coastal areas where the source of living is fishing. The study is focused on utilizing food waste from Cerastoderma edule commonly known in the Philippines as Litob and river sand as additives in making recycled (high density polyethylene) HDPE composite plastic tiles. The researchers prepared the materials according to the set conditions. Composite plastic tiles made of remoulded HDPE plastic, river sand and Cerastoderma edule shells were fabricated in five different proportions. It was found out that the composite plastic tile with 40:30:30 ratio by mass inhibits the best characteristics in terms of average density, thermal resistance, and impact strength. The study shows that we can be able to make useful building materials such composite plastic tile from shells, river sand and HDPE plastic.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83041756","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

Use of Artificial Neural Network in the Estimation of Detonation Velocity for Tetranitromethane-Nitrobenzene Mixture 人工神经网络在四硝基甲烷-硝基苯混合物爆速估算中的应用

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI: 10.1109/HNICEM48295.2019.9072778

D. G. Evangelista, Dr. Ryan Rhay Vicerra, Dr. Argel A. Bandala

引用次数: 1