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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Alshaikh, R. Ahmed, V. Bahroun, Z. Engineering Systems and Management PhD Program College of Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Maritime shipping plays a pivotal role in the global transportation system, providing safety and cost-effectiveness. However, it encounters numerous challenges, including port congestion, delivery delays, complex paperwork, unreliable reports on hazardous materials, and difficulties in tracing containers. To address these issues and mitigate risks associated with the transportation of hazardous goods, researchers have explored the implementation of blockchain technology in the maritime sector. Blockchain offers decentralization, transparency, and auditability of transactions, as well as the ability to trace and track cargo, particularly hazardous materials. Despite its potential, there is limited research available on the practical implementation of blockchain for hazardous material traceability. This research paper aims to investigate the application of blockchain technology in enhancing hazardous material traceability in seaports, contributing to the growing body of knowledge regarding blockchain's potential in this area and providing valuable insights for future research and practical implementations. Moreover, the paper suggests a preliminary framework for an optimized blockchain algorithm for hazardous material traceability. The main findings highlight the significant potential of blockchain technology in improving traceability of hazardous materials in seaports. Real-time tracking and monitoring of hazardous materials from origin to destination can be achieved through blockchain's distributed nature, reducing the risk of data manipulation or fraud. The immutability of blockchain records ensures the integrity and accuracy of critical data related to material composition, handling procedures, and safety certifications. Furthermore, blockchain's decentralized control allows for collaborative traceability in seaports, involving stakeholders such as port authorities, shipping companies, regulatory bodies, and manufacturers. This distributed governance model promote

关键词： Blockchain

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Arcing faults patterns for based ANN relays for transmission lines

Arcing faults patterns for based ANN relays for transmission...

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2003 IEEE Bologna PowerTech Conference

作者： Ortiz, V.H. Uribe, F.A. Gutierrez, J.A. Altuve, H.J. PhD Program Nuevo Leon University Mexico Department of Electrical Engineering Guadalajara University Mexico Department of Mathematics University of Guadalajara Mexico Schweitzer Engineering Laboratories Inc Mexico

ISBN: (纸本)0780379675

A frequency domain technique for calculating arcing faults in transmission lines is applied to obtain relaying signals. There are analyzed the transient signals in order to discover distinctive features. The paper later center the attention on feature extractors to improve digital relays speed and pattern recognition with ANN. Non-conventional signal processing are explained for a based artificial neural network (ANN) relay for transmission line protection. © 2003 IEEE.

关键词： Electric lines

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OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK M...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

This paper discusses the optimization of hyperparameters of the Multilayer Feedforward (MLF) Artificial Neural Network (ANN), for Automatic Incident Detection (AID) within freeway systems. The MLF model was developed and tested using simulated data generated from VISSIM traffic simulation software. The optimized hyperparameters include the number of hidden layers, the size of hidden layers, the learning rate, momentum, error epsilon, and training cycles. To reduce computational time, a stepwise approach was adopted to optimize these hyperparameters. The model's performance was evaluated based on the Fscore, which is the harmonic mean of the recall and precision metrics. This evaluation metric was used because the AID is an imbalanced binary classification problem, where normal instances are the majority class and incident instances are the minority class. The results showed that optimizing the hyperparameters of the MLF model resulted in a 0.79% improvement in the F-score of the model and a 0.32% improvement in the overall accuracy of the model. The near-optimal hyperparameters for the MLF model were determined to be 1 hidden layer with 35 neurons, a learning rate of 0.015, momentum of 0.9, an error epsilon of 1.00E-10, and 1000 training cycles. The study provides insights into optimizing the hyperparameters of ANNs for AID applications in traffic management systems, which can help improve the performance of such systems. The optimized model can be utilized by Traffic Management Centres (TMCs) to detect incidents accurately and in a timely manner, thereby reducing the negative impacts of traffic incidents and ensuring safe and efficient travel for drivers. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Multilayer neural networks

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An Outlook on the Utilization of Perovskite Films in Photocatalytic and Optoelectronic Devices

An Outlook on the Utilization of Perovskite Films in Photoca...

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2023 Advances in Science and engineering Technology International Conferences, ASET 2023

作者： Alashkar, Adnan Ayoub, Mohamad Ali Al-Alami, Abdul Hai Abdelkareem, Mohammad Ali Olabi, Abdul Ghani Mdallal, Ayman American University of Sharjah Materials Science and Engineering PhD Program Sharjah United Arab Emirates University of Sharjah Sustainable and Renewable Energy Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781665454742

The search for novel multi-functional material has been on the rise for the past decades. These materials ought to possess flexible structures and tunable properties in order to be utilized for a variety of applications. Perovskite materials are predominantly used in solar cell applications due to their broad absorption spectrum, long carrier lifetime, and long transport distance of electrons and holes. Nevertheless, their unique and tunable properties allow for their utilization in a wide range of applications. In this work, a review on the application of perovskite materials in hydrogen production, supercapacitors, and optoelectronic devices is presented. The role of perovskite in the improvement of said applications is investigated, and future outlook and remarks are presented. This paper highlights the potential utilization of perovskite material outside the scope of photoelectric devices and solar cells. © 2023 IEEE.

关键词： Perovskite

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IMPEDIMETRIC MEASUREMENT OF 3D ANGIOGENIC PROCESS 25

IMPEDIMETRIC MEASUREMENT OF 3D ANGIOGENIC PROCESS

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Huang, Chun-Hao Lei, Kin Fong PhD Program in Biomedical Engineering College of Engineering Chang Gung University Taiwan Graduate Institute of Biomedical Engineering Chang Gung University Taiwan Department of Radiation Oncology Chang Gung Memorial Hospital Taiwan

ISBN: (纸本)9781733419031

In this research, a microfluidic biochip for impedance measurement was developed to explore the angiogenesis ability affected by VEGF in a 3D microenvironment. The process of angiogenesis and invasion of human umbilical vein endothelial cells (HUVEC) is studied by using microfluidic technology and bio colloids (Matrigel) to construct a 3D biological barrier. During angiogenesis affected by different concentrations of vascular endothelial growth factor (VEGF), the impedance changes and time points were recorded to analyze the angiogenesis ability. The results showed that the impedance measurement can quantify the angiogenesis ability in the microfluidic biochip in real-time. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Microfluidics

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How Microbes Shape Their Communities? A Microbial Community Model Based on Functional Genes

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Genomics, Proteomics & Bioinformatics 2019年第1期17卷 91-105页

作者： Xiaoqing Jiang Xin Li Longshu Yang Chunhong Liu Qi Wang Weilai Chi Huaiqiu Zhu State Key Laboratory for Turbulence and Complex Systems Department of Biomedical Engineering College of Engineering Peking University Center for Quantitative Biology Peking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Biological (PTN) PhD Program and College of Life Sciences Peking University Center for Protein Science Peking University

Exploring the mechanisms of maintaining microbial community structure is important to understand biofilm development or microbiota dysbiosis. In this paper, we propose a functional gene-based composition prediction(FCP) model to predict the population structure composition within a microbial community. The model predicts the community composition well in both a low-complexity community as acid mine drainage(AMD) microbiota, and a complex community as human gut microbiota. Furthermore, we define community structure shaping(CSS) genes as functional genes crucial for shaping the microbial community. We have identified CSS genes in AMD and human gut microbiota samples with FCP model and find that CSS genes change with the conditions. Compared to essential genes for microbes, CSS genes are significantly enriched in the genes involved in mobile genetic elements, cell motility, and defense mechanisms, indicating that the functions of CSS genes are focused on communication and strategies in response to the environment factors. We further find that it is the minority, rather than the majority, which contributes to maintaining community structure. Compared to health control samples, we find that some functional genes associated with metabolism of amino acids, nucleotides, and lipopolysaccharide are more likely to be CSS genes in the disease group. CSS genes may help us to understand critical cellular processes and be useful in seeking addable gene circuitries to maintain artificial self-sustainable communities. Our study suggests that functional genes are important to the assembly of microbial communities.

关键词： Metagenomics Dynamics model Community structure Acid mine drainage Human gut microbiota

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Optimized closed-loop supply chain configuration selection for sustainable product designs

Optimized closed-loop supply chain configuration selection f...

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2011 7th IEEE International Conference on Automation Science and engineering, CASE 2011

作者： Metta, Haritha Badurdeen, Fazleena Mechanical Engineering PhD Program University of Kentucky Lexington KY 40506 United States Department of Mechanical Engineering Institute for Sustainable Manufacturing University of Kentucky Lexington KY 40506 United States

ISBN: (纸本)9781457717307

Decision support models for coordinating sustainable product and supply chain (SC) design can help a company identify the best product designs that will bring highest sustainability benefits to the entire SC at the product development stage. This paper presents a multi-stage decision support model (developed using a hierarchical approach) that evaluates alternate product designs and their SC configurations to identify the best product design and their closed-loop SC configuration that maximizes profit and also minimize adverse environmental and societal impacts. The model considers a total life-cycle approach and promotes closed-loop flow over multiple product life-cycles. Particularly, this paper provides a detailed description of the mixed integer linear programming model developed to evaluate the impact of alternate product design on their corresponding SC configuration to identify for each design an optimal closed-loop SC configuration that maximizes the profit. The application of the model to an example problem is presented. © 2011 IEEE.

关键词： Product design

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Genome-scale metabolic networks in time and space

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Current Opinion in Systems Biology 2018年 8卷 51-58页

作者： Øyås, Ove Stelling, Jörg Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics ETH Zurich Basel Switzerland Systems Biology PhD Program Life Science Zurich Graduate School Zurich Switzerland

Constraint-based models (CBMs) are key tools for elucidating the behavior of genome-scale metabolic networks, but the assumption of steady state hinders their application to spatiotemporally varying and multicellular systems. Models that integrate CBMs with kinetics to allow dynamic simulation through dynamic flux balance analysis (DFBA) can circumvent this problem as well as the limitations of purely kinetic models. With many technical barriers for DFBA overcome in recent years, applications traditionally focused on metabolic engineering have expanded to address problems such as evolution of microbial communities, functions of biomedically relevant biofilms, and diet effects on Parkinson's disease. By addressing substantial computational challenges, we expect that such hybrid metabolic models will pave the way towards whole-cell modeling. © 2017 Elsevier Ltd

关键词： Constraint-based models Dynamic flux balance analysis Genome-scale models Metabolic networks Multi-scale models

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Motivating factors in problem-based learning: A student perspective on the role of the facilitator

Motivating factors in problem-based learning: A student pers...

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118th ASEE Annual Conference and Exposition

作者： Matusovich, Holly M. Jones, Brett D. Paretti, Marie C. Moore, Jacob Preston Hunter, Deirdre Annaliese Nicole Department of Engineering Education Virginia Tech. United States Educational Psychology Program School of Education Virginia Tech. United States Engineering Education PhD Program Virginia Tech. United States

Problem-based learning (PBL) is a pedagogical approach that has been identified as promoting learning outcomes consistent with ABET criteria. Although the learning benefits of PBL have been well documented, little is known about the effects of PBL on students' motivation and engagement in learning. As problem-based approaches are becoming more widespread in use across engineering programs and curricula, it is particularly important to understand the impact that such approaches have on students' motivation. As part of a larger mixed methods study, this paper focuses on the critical element of team facilitation. Specifically, we examine how students perceive the role of facilitators and how these perceptions influence student motivation. Grounded in the MUSIC Model of Academic Motivation, we present findings from interviews conducted with first-year engineering students at two different research sites. State U1 participants are engaged in a well-established PBL-based course. State U2 participants are engaged in a course that uses a project-based approach to integrate design projects into the class (termed traditional engineering design, or TED, for this study). We conducted semi-structured interviews with eleven men and eight women from State U1 and three men and eleven women from State U2 at the end of their first year. Audio recordings were transcribed and then analyzed using MAXQDA coding software. We developed codes inductively through the data and based on relevant literature. Our findings demonstrated that participants at both sites viewed the facilitator (PBL) or workshop leader (TED) as the grading authority, although it was most salient for the TED participants from State U2 and for participants in only one of the six PBL groups at State U1. For most participants at State U1, however, the more dominant function of the facilitator was modeling the engineering problem solving process. These State U1 participants also expressed feelings of empowerment and were m

关键词： Grading

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Retrieval practice and spacing: Effects on long-term learning among engineering precalculus students 125

Retrieval practice and spacing: Effects on long-term learnin...

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125th ASEE Annual Conference and Exposition

作者： Hopkins, Robin F. Lyle, Keith Brandon Ralston, Patricia A. Bego, Campbell R. Hieb, Jeffrey Lloyd Experimental Psychology PhD Program University of Louisville United States Department of Engineering Fundamentals University of Louisville United States Cognitive Science University of Louisville United States

Mathematical competency is vital to success in engineering. Competency requires not only short-term mastery of mathematical concepts, but also long-term retention. Research in cognitive psychology shows that the more times information is retrieved from memory, the more likely it is to be remembered over the long-term. Research also shows that increasing the amount of time between retrievals increases long-term retention. Which of these interventions-increasing the amount or the temporal spacing of retrieval practice-has the greater impact on long-term retention? Supported by NSF's Improving Undergraduate STEM Education (IUSE) program, we answered this question by independently manipulating the amount and the spacing of retrieval practice in a precalculus course for engineering students. This was done by varying the number of quiz questions concerning key precalculus objectives (amount of practice) and varying whether those questions were massed on a single quiz or distributed across quizzes in multiple weeks (spacing of practice). Long-term retention was assessed in a test of precalculus knowledge administered one month after the end of the precalculus course. We found that students were significantly more likely to retain precalculus objectives when quiz questions had been spaced versus massed. Increasing the number of quiz questions did not significantly affect retention. These findings suggest that educators wishing to increase students' long-term retention of mathematics knowledge should increase the spacing, rather than the amount, of retrieval practice in their courses. © American Society for engineering Education, 2018.

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