Engineering Proceedings最新文献_第7页

Potential Bio-Fuel from Refinery Waste through Anaerobic Digestion 通过厌氧消化从炼油厂废物中提取潜在的生物燃料

Engineering Proceedings Pub Date : 2022-01-04 DOI: 10.3390/engproc2021012068

Sophia Nawaz Gishkori, Ghulam Abbas, A. Shah, S. Rahman, M. S. Haider, Fahid Nisar

引用次数: 0

Energy Efficient Strategy Development of Steam Turbine through Vibration Reduction Using ANN and SVM Approaches 基于神经网络和支持向量机方法的汽轮机减振节能策略开发

Engineering Proceedings Pub Date : 2022-01-04 DOI: 10.3390/engproc2021012065

Yasir Rafique, A. Hussain

{"title":"Energy Efficient Strategy Development of Steam Turbine through Vibration Reduction Using ANN and SVM Approaches","authors":"Yasir Rafique, A. Hussain","doi":"10.3390/engproc2021012065","DOIUrl":"https://doi.org/10.3390/engproc2021012065","url":null,"abstract":"The energy efficiency of a power plant is largely determined by the vibrations of bearings that hold the shaft rotating at high speed which need to be critically controlled. This study presents the relative vibration modeling of a shaft bearing that is installed in a 660 MW supercritical steam turbine system. The operational data in raw form after being cleaned using machine learning based visualization and extensive data processing helped in training and validation of SVM and ANN models which are then compared by external validation tests. The model with best results is then used for the simulations of constructed operating scenarios. The ANN has been further tested for the complete operational load range (353 MW to 662 MW) which predicted the reduction in relative vibrations. Moreover, the validated ANN model has been used to develop many strategies of vibration reduction which helped in achieving more than 4% reduction in relative vibrations. Subsequently, an operational strategy that predicts a significant reduction in the bearing vibration levels is selected. For confirmation of the accuracy of prediction by ANN process model, the selected strategy has been used with the actual power plant. This assures the significant reduction of bearing vibration less than the alarm limit.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":"340 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78055574","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

Single Stage Active Power Factor Correction Circuit for Street LED Light with Battery Backup 带备用电池的LED路灯单级有源功率因数校正电路

Engineering Proceedings Pub Date : 2022-01-04 DOI: 10.3390/engproc2021012069

Asad Muneer, Ahsan Fayyaz, Shabab Iqbal, M. W. Jabbar, Arslan Qaisar, Faisal Farooq

引用次数: 2

Characterizing Terminal Airspace Operational States and Detecting Airspace-Level Anomalies 终端空域操作状态表征与空域异常探测

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021013009

S. Corrado, Tejas G. Puranik, D. Mavris

{"title":"Characterizing Terminal Airspace Operational States and Detecting Airspace-Level Anomalies","authors":"S. Corrado, Tejas G. Puranik, D. Mavris","doi":"10.3390/engproc2021013009","DOIUrl":"https://doi.org/10.3390/engproc2021013009","url":null,"abstract":"Global modernization efforts focus on increasing aviation system capacity and efficiency, while maintaining high levels of safety. To accomplish these objectives, new analysis methods are required that consider Air Traffic Management (ATM) system operations at both the flight level and the airspace level. With the expansion of ADS-B technology, open-source flight tracking data has become more readily available to enable larger-scale analyses of aircraft operations. Specifically, anomaly detection has been identified as being paramount. However, previous analyses of airspace-level operational states have not considered the observation of transitional (transitioning between two distinct airspace-level operational patterns) or anomalous operational states. Therefore, a method is proposed in which the time-series trajectory data of all aircraft operating within a terminal airspace during a specified time period is aggregated to generate a representation of the airspace-level operational states such that a recursive DBSCAN procedure to characterize airspace-level operational states as either nominal, transitional, or anomalous as well as to identify the distinct nominal operational patterns. This method is demonstrated on one year of ADS-B trajectory data for aircraft arriving at San Francisco International Airport (KSFO). Overall, visual inspection of results indicate the method’s promise in assisting ATM system operators, decision-makers, and planners in designing the implementation of new operational concepts.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74624200","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

Lemon Grading and Sorting Using Computer Vision 利用计算机视觉对柠檬进行分级和分拣

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021012055

Talha Mukhtar, Sunil Jamil, Usman Arif, Waleed Razzaq, Muhammad Wasif

引用次数: 2

Automatic Processing Pipeline for Collecting and Annotating Air-Traffic Voice Communication Data 空中交通话音通信数据采集与标注自动处理管道

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021013008

M. Kocour, Karel Veselý, Igor Szöke, Santosh Kesiraju, Juan Zuluaga-Gómez, Alexander Blatt, Amrutha Prasad, Iuliia Nigmatulina, P. Motlícek, D. Klakow, Allan Tart, H. Atassi, Pavel, Kolčárek, Honza Černocký, Claudia Cevenini, K. Choukri, M. Rigault, Fabian Landis, Saeed, Sarfjoo, Chloe Salamin

{"title":"Automatic Processing Pipeline for Collecting and Annotating Air-Traffic Voice Communication Data","authors":"M. Kocour, Karel Veselý, Igor Szöke, Santosh Kesiraju, Juan Zuluaga-Gómez, Alexander Blatt, Amrutha Prasad, Iuliia Nigmatulina, P. Motlícek, D. Klakow, Allan Tart, H. Atassi, Pavel, Kolčárek, Honza Černocký, Claudia Cevenini, K. Choukri, M. Rigault, Fabian Landis, Saeed, Sarfjoo, Chloe Salamin","doi":"10.3390/engproc2021013008","DOIUrl":"https://doi.org/10.3390/engproc2021013008","url":null,"abstract":"This document describes our pipeline for automatic processing of ATCO pilot audio communication we developed as part of the ATCO2 project. So far, we collected two thousand hours of audio recordings that we either preprocessed for the transcribers or used for semi-supervised training. Both methods of using the collected data can further improve our pipeline by retraining our models. The proposed automatic processing pipeline is a cascade of many standalone components: (a) segmentation, (b) volume control, (c) signal-to-noise ratio filtering, (d) diarization, (e) ‘speech-to-text’ (ASR) module, (f) English language detection, (g) call-sign code recognition, (h) ATCO—pilot classification and (i) highlighting commands and values. The key component of the pipeline is a speech-to-text transcription system that has to be trained with real-world ATC data; otherwise, the performance is poor. In order to further improve speech-to-text performance, we apply both semi-supervised training with our recordings and the contextual adaptation that uses a list of plausible callsigns from surveillance data as auxiliary information. Downstream NLP/NLU tasks are important from an application point of view. These application tasks need accurate models operating on top of the real speech-to-text output; thus, there is a need for more data too. Creating ATC data is the main aspiration of the ATCO2 project. At the end of the project, the data will be packaged and distributed by ELDA.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85016034","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

Machine Learning Techniques in Agricultural Flood Assessment and Monitoring Using Earth Observation and Hydromorphological Analysis 基于地球观测和水文形态分析的农业洪水评估与监测中的机器学习技术

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021009040

Lampros Tasiopoulos, M. Stefouli, Yorghos Voutos, Phivos Mylonas, E. Charou

引用次数: 1

A Theoretical Framework for Multi-Hazard Risk Mapping on Agricultural Areas Considering Artificial Intelligence, IoT, and Climate Change Scenarios 考虑人工智能、物联网和气候变化情景的农业多灾种风险制图理论框架

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021009039

R. Silva, M. C. Fava, A. Saraiva, E. Mendiondo, C. Cugnasca, A. Delbem

引用次数: 2

Helicopter Flight Manoeuvre Statistics via ADS-B: An Initial Investigation Using the OpenSky Network 通过ADS-B的直升机飞行机动统计:使用开放天空网络的初步调查

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021013010

J. Hoole, J. Booker, Jonathan Cooper

引用次数: 1

An Ontology Based Approach for Regulatory Compliance of EU Reg. No 995/2010 in Greece 基于本体的欧盟法规遵从性研究方法。希腊第995/2010号

Engineering Proceedings Pub Date : 2021-12-31 DOI: 10.3390/engproc2021009038

E. Lallas, A. Karageorgos, G. Ntalos

{"title":"An Ontology Based Approach for Regulatory Compliance of EU Reg. No 995/2010 in Greece","authors":"E. Lallas, A. Karageorgos, G. Ntalos","doi":"10.3390/engproc2021009038","DOIUrl":"https://doi.org/10.3390/engproc2021009038","url":null,"abstract":"Illegal logging has always been considered as a major environmental and social global concern, as it is directly associated with deforestation and climate change. Nowadays, EU Regulation No 995/2010 has been successfully enforced to impede the placement of illegally produced timber within the EU market and therefore to efficiently enhance sustainable forest management and restore ecosystem balance. However, EU 995 regulatory compliance and enforcement itself is quite complex, since it requires long-term conformity, on a common basis for various heterogeneous groups and communities of stakeholders, in a global, even beyond EU, rule regulation framework. To make things worse, such a framework must be applied to the entire supply distribution chain and a wide variety of wood products, ranging from paper pulp to solid wood and flooring. Hence, in such complex and multivariate information environments, an ontological approach can more efficiently support regulatory compliance and knowledge management, due to its openness and richness of semantics for representing, analyzing, interpreting and managing such kind of information. In this paper, a rule-based regulatory compliance ontology is proposed, which fully captures EU Regulation No 995/2010 concepts and compliance rules and guidelines, as well as Greek legislations governing wood trade. The proposed ontology can be the basis for a computerized system providing automated support for illegal wood trade and monitoring EU regulation information provision and audit information storage and analysis.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79389937","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