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57th US Rock Mechanics/Geomechanics Symposium

作者： Sawayama, K. Ishibashi, T. Jiang, F. Tsuji, T. Institute for Geothermal Sciences Graduate School of Science Kyoto University Beppu Japan Fukushima Renewable Energy Institute National Institute of Advanced Industrial Science and Technology Koriyama Japan Department of Mechanical Engineering Graduate School of Sciences and Technology for Innovation Yamaguchi University Ube Japan Department of Systems Innovation Graduate School of Engineering The University of Tokyo Tokyo Japan

ISBN: (纸本)9780979497582

Fluid flow through faults controls subsurface transport processes, considerably impacting seismic hazards and geoengineering such as enhanced geothermal systems (EGS). Recent advances in geophysical techniques have detected changes in electrical resistivity and seismic velocity due to crustal stress changes, and possibly predicted the changes in subsurface fluid flow. However, we could not quantitatively interpret these geophysical monitoring data due to the absence of rock physical models for fractured rocks. This study investigated changes in permeability, resistivity, elastic wave velocity, and their respective relationships at elevated normal stress by performing numerical simulations of various fracture models with changing fracture surface roughness and shear displacement. The results show that permeability-resistivity and permeability-velocity relationships are less dependent on any geometric characteristics, but controlled by the percolation based on microscopic flow analysis. Our finding suggests that Overall, resistivity is more sensitive to less connected flow regime, while seismic velocities are more sensitive to connected flow regime. © 2023 57th US Rock Mechanics/Geomechanics Symposium. All Rights Reserved.

关键词： Flow of fluids

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Motion Measurement Methods for Nonlinear Analysis of Electrostatic MEMS Resonators 20

Motion Measurement Methods for Nonlinear Analysis of Electro...

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20th International Conference on Smart Technologies, EUROCON 2023

作者： Ghommem, Mehdi Alattar, Basil Lherbette, Michael Elhady, Alaaeldin Abdel-Rahman, Eihab American University of Sharjah Department of Mechanical Engineering Sharjah26666 United Arab Emirates Mechatronics Graduate Program American University of Sharjah Sharjah26666 United Arab Emirates SmarAct Metrology Rohdenweg Oldenburg Germany Systems Design Engineering University of Waterloo Waterloo Ontario Canada

ISBN: (纸本)9781665463973

In this paper, we compare two measurement techniques to analyze the dynamic response of a MEMS resonator, made of a microcantilever beam, that is electrostatically actuated via a side electrode. The first method is based on a combination of Michelson interferometry, knife-edge analysis, and stroboscopic imaging, and is used to dissect the in-plane and out-of-plane motions of the resonator. The second approach follows the motion-induced current method and is based on a transduction mechanism that converts the movement of the resonator to a current signal. The third harmonic of said current is directly related to the in-plane motion of the resonator. Motion-induced current measurements enable the detection of the nonlinear dynamics associated with the motion of the resonator when actuated with high excitation voltages. The optical and electrical measurements show similar nonlinear features in terms of the location of the cyclic-fold bifurcation in the parameter space and the hysteretic region associated with it. These dynamic features can be exploited for sensing purposes. © 2023 IEEE.

关键词： Interferometry

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Energy Absorption Analysis on Crash-Module Shape and Configuration of Medium-Speed Train 1

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5th International Conference on mechanical engineering, ICOME 2021

作者： Syaifudin, Achmad Windharto, Agus Setiawan, Andri Farid, Abdul Rochman Department of Mechanical Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Industrial Design Institut Teknologi Sepuluh Nopember Surabaya Indonesia Graduate Program of Supply Chain Management Institut Teknologi Sepuluh Nopember Surabaya Indonesia Surabaya Indonesia

ISBN: (数字)9789811915819

ISBN: (纸本)9789811915802

Trains as a means of mass transportation should protect passengers against potential accidents. To reduce the risk of train accidents due to collisions, train manufacturers should implement a passive safety system. The passive safety system could be in the form of an impact-absorbing module that is used to absorb impact energy during a collision and to minimize the damage of vehicle structures in the passenger area. This study uses a module with a circular, hexagonal, and square cross-sectional shape mounted on the front end of the medium-speed train. Finite element simulations were carried out based on the standards of SNI 8826 and EN 15227. The materials used are aluminum 6005A, mild steel AISI 1018, and glass laminated with polyvinyl butyral (PVB), which are defined as bilinear elastic–plastic for the material properties and as Johnson–Cook model for the material behaviors. The numerical simulation indicated that the module with a circular cross-section has good energy kinetic absorption and fulfills the safety requirement according to the standards for the collision under speed of 45 km/h. Besides, the square cross-section can be used as a protective frame due to lower axial deformation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Crashworthiness

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Modular Safety-Critical Control of Legged Robots

arXiv

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arXiv 2023年

作者： Tosun, Berk Samur, Evren Graduate Program in Systems and Control Engineering Bogazici University Istanbul Turkey Department of Mechanical Engineering Bogazici University Istanbul Turkey

Safety concerns during the operation of legged robots must be addressed to enable their widespread use. Machine learning-based control methods that use model-based constraints provide promising means to improve robot safety. This study presents a modular safety filter to improve the safety of a legged robot, i.e., reduce the chance of a fall. The prerequisite is the availability of a robot that is capable of locomotion, i.e., a nominal controller exists. During locomotion, terrain properties around the robot are estimated through machine learning which uses a minimal set of proprioceptive signals. A novel deep-learning model utilizing an efficient transformer architecture is used for the terrain estimation. A quadratic program combines the terrain estimations with inverse dynamics and a novel exponential control barrier function constraint to filter and certify nominal control signals. The result is an optimal controller that acts as a filter. The filtered control signal allows safe locomotion of the robot. The resulting approach is generalizable, and could be transferred with low effort to any other legged system. Copyright © 2023, The Authors. All rights reserved.

关键词： Robots

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Expert-based text mining with Delphi method for crude oil price prediction

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International Journal of industrial and systems engineering 2017年第4期25卷 545-563页

作者： Chuaykoblap, Somboon Chutima, Parames Chandrachai, Achara Nupairoj, Natawut Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University 1405-1409 14th Fl. Chamchuri Sq. Bldg. Payathai Rd. Patumwan Bangkok10330 Thailand Department of Industrial Engineering Engineering Faculty Chulalongkorn University Bangkok Thailand Commerce and Accountancy Faculty Chulalongkorn University Bangkok Thailand Department of Computer Engineering Engineering Faculty Chulalongkorn University Bangkok Thailand

As crude is one of the most important commodities, the crude price forecasting has continuously been a centre of interest. The traditional techniques are focusing on econometric models which could not cope with the short term abnormality. Text data mining from news articles could be an effective method to predict the crude oil price variation caused by irregularities, but, the main issues in text mining originate from the particularities of natural language. In this research, the expert-based Delphi text mining (EDTM) is proposed to predict the movement of crude prices when the irregularity occurs. We employ the hierarchical clustering algorithm to reveal implicit knowledge hidden in news streams. Next, the Delphi method is introduced to give weighted ratings for different corresponding events extracted from the news. Finally, a comprehensive experiment is illustrated to show the effectiveness. ©2017 Inderscience Enterprises Ltd.

关键词： Crude oil

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Predicting Factors Influencing the Actual Use of E-learning Platform Among Medical Students in the Philippines

Predicting Factors Influencing the Actual Use of E-learning ...

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2024 IEEE International Conference on industrial engineering and engineering Management, IEEM 2024

作者： Benito, Omar Paolo Prasetyo, Yogi Tri Roque, Ralph Andre C. Flores, Fernan Patrick Cahigas, Maela Madel L. Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Rectorate University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

This study aimed to examine the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines, using the latent variables from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and two additional variables derived from relevant literature. A total of 360 medical students participated by completing an online survey comprising 40 questions. The analysis, conducted using stepwise multiple linear regression, revealed that Performance Expectancy (PE), Habit (HB), and Instructor Characteristics (IC) were significant predictors of Actual Use (AU) with an accuracy of 54.22%. Higher levels of PE, HB, and IC were found to positively influence the acceptance and utilization of medical eLearning platforms. The findings from this study can provide valuable insights for the Commission on Higher Education in the Philippines, aiding in the enhancement of eLearning platforms for medical education. Although this research primarily focused on UTAUT2 and two additional variables-Learning Value and Instructor Characteristics-the results offer substantial implications for the broader development of eLearning platforms in the medical field. © 2024 IEEE.

关键词： Multiple linear regression

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Fuzzy retrieval system employing image processing for car shape

Fuzzy retrieval system employing image processing for car sh...

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2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

作者： Samatsu, Takashi Tachikawa, Kie Shi, Yan Department of Mechanical Systems Engineering School of Industrial Engineering Tokai University 9-1-1 Toroku Kumamoto-City Kumamoto 862-8652 Japan Information Engineering Course Graduate School of Industrial Engineering Tokai University 9-1-1 Toroku Kumamoto-City Kumamoto 862-8652 Japan Department of Electronics and Intelligent Systems Engineering School of Industrial Engineering Tokai University 9-1-1 Toroku Kumamoto-City Kumamoto 862-8652 Japan

ISBN: (纸本)9780769538730

This paper proposes a fuzzy retrieval system for purchasing cars employing image processing. This system aims to support such persons who are not good with machines or cars. When they try to purchase a car, they can use this system easily as if they ask casually someone else who knows more about car. Unspecific conditions are expressed by the fuzzy set, and the level matching conditions are expressed by the grade values. To use this more practically, a GUI form with selection menus is developed. In addition, calculating curvature by the car shape using the image processing, and adding an item for selecting a car shape from roundness and sharpness, try to improve usability of this system. © 2009 IEEE.

关键词： Search engines

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Ranking Routes In Semiconductor Wafer Fabs

Research Square

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Research Square 2021年

作者： Gupta, Shreya Hasenbein, John J. Kim, Byeongdong Graduate Program in Operations Research and Industrial Engineering Department of Mechanical Engineering University of Texas at Austin AustinTX78712 United States

We develop a method to estimate the quality of processing routes in a wafer fabrication process. Ranking such routes can be useful for identifying the "best" and "worst" routes when making adjustments to recipes. Route categorization is also useful in developing efficient scheduling algorithms. In particular, we propose a method for ranking routes based on count-based metrics such as the number of defects on a wafer. We start with a statistical model to produce a "local" ranking of a tool and then build a "global" ranking via a heuristic procedure. Creating a fully statistical procedure for ranking routes in semiconductor fabrication plants is virtually impossible, given the number of possible routes and the limited data available. Nonetheless, our discussions with working engineers indicate that even approximate rankings are useful for making better operational decisions. © 2021, CC BY.

关键词： Scheduling algorithms

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Way-out for laser-induced breakdown spectroscopy

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Plasma Science and Technology 2020年第7期22卷 1-3页

作者： Zongyu HOU Sungho JEONG Yoshihiro DEGUCHI Zhe WANG State Key Lab of Power Systems International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic o f China School of Mechanical Engineering Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Graduate School of Technology Industrial and Social SciencesTokushima UniversityTokushima 770-8501Japan

Ever since its creation in 1963 [1], laser-induced breakdown spectroscopy(LIBS)has gained considerable attention due to its unique capability for real-time, in situ or online analysis [2, 3]. The future world is headi... 详细信息

关键词： breakdown laser spectroscopy

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Integrating a Small-Scale Adaptive Solar Drying systems with Nichrome Wire for Processing Dried Moro-Moro Fish

Integrating a Small-Scale Adaptive Solar Drying Systems with...

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2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

作者： Gulben, Karell Keith P. Salat, Datu Al-Ashari J. Boddie, Basilio Corleone U. Cayme, Liregine Sobretodo Boloron, Nino Louie Reyes Tayactac, Reylina Garcia Mapúa Malayan Colleges Mindanao Mechanical Engineering Program Davao Philippines Mapúa Malayan Colleges Mindanao School of Mechanical Manufacturing and Energy Engineering Mapúa University School of Graduate Studies Intramuros Manila Davao City Philippines Mapúa Malayan Colleges Mindanao Central Mindanao University Bukidnon Philippines School of Mechanical Manufacturing and Energy Engineering Mapúa University School of Graduate Studies Intramuros Manila Philippines

ISBN: (纸本)9798350395075

This study evaluates a small-scale adaptive solar drying system using nichrome wire to enhance the drying process for Moro-moro fish. The nichrome wire's rapid heating accelerates drying, reduces exposure to pests, and mitigates issues like climate variations and uneven drying. Although mechanical dryers exist, their high costs and limited efficiency restrict use. This adaptable system provides a sustainable and effective method of preserving fish by optimizing drying through steady heat and moisture control. © 2024 IEEE.

关键词： Moisture control

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