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24th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Kitayama, Sean E. Sohn, Lydia L. UC Berkeley UCSF Graduate Program in Bioengineering BerkeleyCA United States Department of Mechanical Engineering University of California Berkeley BerkeleyCA United States

ISBN: (纸本)9781733419017

We present a novel in vitro heterogenous lung microenvironment fabricated using DNA-directed patterning, a lithographic method capable of controlled spatial and temporal presentation of cells and ligands with micron-scale precision. Designed using patient histology images, this alveolar microenvironment contains five cell types in an optimized co-culture system that has a number of advantages over existing in vivo models. Our optimized platform has the ability to answer questions about breast cancer metastasis, particularly about the role of extracellular vesicles in preparing the pre-metastatic niche in the secondary lung microenvironment. © 2020 CBMS-0001

关键词： Diseases

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Pulsatile Bypass Flow by Means of Power Law and Newtonian Model: A Comparison Guided by Numerical Investigation

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Defect and Diffusion Forum 2022年 420卷 215-228页

作者： Impiombato, Andrea Natale Orlandi, Francesco Civita, Giorgio La Zinani, Flavia Schwarz Franceschini Rocha, Luiz Alberto Oliveira Biserni, Cesare Di Schio, Eugenia Rossi Department of Industrial Engineering Alma Mater Studiorum University of Bologna Viale Risorgimento 2 Bologna40136 Italy Mechanical Engineering Graduate Program Universidade do Vale do Rio dos Sinos – UNISINOS Av. Unisinos 950 RS São LeopoldoCEP 93022-750 Brazil Department of Mechanical Engineering Federal University of Rio Grande do Sul – UFRGS Sarmento Leite Street 425 RS Porto Alegre Brazil

In this work, the comparison between the Newtonian and the Power Law models was pointed out to determine the flow field within a system that includes the bypass of a narrowing zone (Stenosis) of an ideal artery. The simulations were conducted in a transient regime considering the pulsed effect inside the veins. The results show that the Power Law model does not sufficiently coincide with the Newtonian model, especially for describing the wall stresses. More specifically, the Power Law model predicts a velocity profile that remains parabolic for the entire time range analyzed, while the Newtonian model captures vorticities. © 2022 Trans Tech Publications Ltd, Switzerland.

关键词： Constructal Design Coronary Artery Bypass Newtonian Model Power Law Model Pulsatile Flow

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator

Improved multiobjective particle swarm optimization for desi...

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IEEE Symposium on Computational Intelligence in Control and Automation, CICA

作者： Juliano Pierezan Helon H. V. Ayala Luciano F. da Cruz Roberto Z. Freire Leandro dos S. Coelho Federal University of Parana— UFPR Electrical Engineering Graduate Program — PPGEE Curitiba Brazil Pontifical Catholic University of Parana — PUCPR Industrial and Systems Engineering Graduate Program — PPGEPS Curitiba Brazil Department of Electrical Engineering — DEE/PPGEE Industrial and Systems Engineering Graduate Program — PPGEPS and Federal University of Parana — UFPR Curitiba Brazil

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements.

关键词： Optimization Manipulator dynamics Mathematical model Particle swarm optimization Vectors

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Agent-Based Modeling for Forest Fire Simulation in Chiang Mai, Thailand 23

Agent-Based Modeling for Forest Fire Simulation in Chiang Ma...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Tappanom, Teerapat Leelawat, Natt Saengtabtim, Kumpol Tang, Jing Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9798350353952

Forest fires have a significant impact on ecosystems and human life, especially in northern Thailand, where Chiang Mai is severely affected. Traditional methods for detecting forest fires have limitations, so there is a need for advanced simulation models. This research uses Agent-Based Modeling (ABM) to develop a forest fire simulation for Chiang Mai. The methodology involves collecting historical data, performing Multiple Regression Analysis, designing the simulation, and testing it. Data from 1998 to 2021, including temperature, relative humidity, wind speed/direction, burn area, and slope, were collected from various sources. Multiple regression analysis identified wind speed as the most significant factor affecting burn area. The forest fire simulation, designed using ZF Wang's spread model and tested with AnyLogic, showed that wind direction and speed are crucial in fire spread. The simulation accurately predicted high-risk areas, helping in proactive planning and response. This study confirms that wind is a critical factor in forest fire spread, providing a valuable tool for fire districts to improve preparedness and management. Future research should focus on refining the model with localized data and integrating real-time detection to improve its accuracy and applicability. © 2024 IEEE.

关键词： Forest ecology

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Preliminary Plan for Data Collection on Stakeholder Information Interdependence in Area-Business Continuity Management: A Case Study of Flood Management in Thai industrial Zones 23

Preliminary Plan for Data Collection on Stakeholder Informat...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Arayachookiat, Penpitcha Saengtabtim, Kumpol Kodaka, Akira Leelawat, Natt Tang, Jing Watanabe, Kenji Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Kanagawa Japan International School of Engineering Chulalongkorn University Faculty of Engineering Bangkok Thailand Graduate School of Social Engineering Nagoya Institute of Technology Nagoya Japan

ISBN: (纸本)9798350353952

The 2011 flood in Thailand exposed significant vulnerabilities in industrial areas, highlighting the necessity for enhanced disaster risk management through Area-Business Continuity Management (Area-BCM). This preliminary study focuses on identifying how stakeholders rely on information from each other to improve disaster preparedness and response. The research involves systematically identifying Area-BCM stakeholders and designing interview questions, which are evaluated by experts using the Index of Item-Objective Congruence (IOC) to ensure relevance and clarity. All interview questions surpassed the IOC threshold of 0.5, confirming their effectiveness in capturing information interdependencies. Expert feedback led to refinements in the questions, underscoring the importance of tailored data collection. This initial plan provides a critical foundation for understanding information interdependence and highlights the importance of well-designed data collection methods. The findings have significant implications for developing more resilient disaster management strategies in industrial areas, emphasizing the need for precise and relevant stakeholder communication to enhance Area-BCM effectiveness. © 2024 IEEE.

关键词： Area-Business Continuity Management Flood Index of Item-Objective Congruence Information Interdependence

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Diversity-Guided Generalized Extremal Optimization for Transformer Design Problem

Diversity-Guided Generalized Extremal Optimization for Trans...

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IEEE Symposium Series on Computational Intelligence

作者： Leandro dos S. Coelho Viviana C. Mariani Rafael B. Grebogi Emerson H. de Vasconcelos Segundo Mauricio V. Ferreira da Luz Jean V. Leite Roberto Z. Freire Industrial and Systems Engineering Graduate Program Electrical Engineering Federal University of Parana - UFPR Curitiba Brazil Mechanical Engineering Graduate Program Electrical Engineering Federal University of Parana - UFPR Curitiba Brazil Mechanical Engineering Graduate Program Federal Institute of Santa Catarina - IFSC Lages Brazil Mechanical Engineering Graduate Program Pontifical Catholic University of Parana - PUCPR Curitiba Brazil GRUCAD-EEL-CTC Federal University of Santa Catarina - UFSC Florianópolis Brazil Federal University of Santa Catarina - UFSC Florianópolis Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana - PUCPR Curitiba Brazil

Market competitiveness and pressure for rational use of resources led manufacturers to look for optimized electromagnetic devices. The large number of variables involving the design of this technology, as well as the compromise between performance and efficiency, have provide the opportunity to adopt optimization techniques in their design stage. Recently, a wide variety of both traditional and nontraditional mathematical algorithms have been introduced to solve challenging and practical optimization problems related to electromagnetic equipment. Evolutionary metaheuristics are general-purpose optimization algorithms inspired by natural self-organized systems and by biological evolution. An optimization method, called Extremal Optimization (EO), which is based on a simplified model of natural selection, was developed to show the emergence of self-organized criticality based on Bak-Sneppen model in ecosystems. Recently, a generalized version of EO method, called Generalized Extremal Optimization (GEO), was proposed. This technique can be applied to a broad class of design optimization problems. In order to enhance and to improve the search performance and efficiency of GEO, a novel Diversity-guided GEO (DGEO) metaheuristic algorithm, with focus in global continuous optimization, is proposed and investigated in this paper considering the design stage of an electromagnetic device. The analysis was carried for a single-phase transformer and revealed that DGEO provided considerable better performance in convergence speed and solution quality than standard GEO.

关键词： Metaheuristic optimization Transformer design Generalized extremal optimization Power-grid Power conversion

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A TWO-PHASE APPROACH TO FUZZY SYSTEM IDENTIFICATION

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systems Science and systems engineering 2003年第4期12卷 408-423页

作者： Ta-Wei HUNG Shu-Cherng FANG Henry L.W.NUTTLE Department of Information Management Shih Chien University Taipei Taiwan 10497 ChinaGraduate Program in Operations Research and Department of Industrial Engineering North Carolina State University Raleigh NC 27695-7906 U.S.A.Graduate Program in Operations Research and Department of Industrial Engineering North Carolina State University Raleigh NC 27695-7906 U.S.A.

A two-phase approach to fuzzy system identification is proposed. The first phase produces a baseline design to identify a prototype fuzzy system for a target system from a collection of input-output data pairs. It uses two easily implemented clustering techniques: the subtractive clustering method and the fuzzy c-means (FCM) clustering algorithm. The second phase (fine tuning) is executed to adjust the parameters identified in the baseline design. This phase uses the steepest descent and recursive least-squares estimation methods. The proposed approach is validated by applying it to both a function approximation type of problem and a classification type of problem. An analysis of the learning behavior of the proposed approach for the two test problems is conducted for further confirmation.

关键词： Fuzzy inference systems fuzzy system models fuzzy clustering learning

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The development and implementation of an expanded capstone design experience by replacing an internship course

The development and implementation of an expanded capstone d...

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2009 ASEE Annual Conference and Exposition

作者： Horton, E. Delbert Elam, Matthew Cranor, Ben Texas A and M University Commerce United States Department of Industrial Engineering Department of Industrial Engineering and Technology Texas A and M University Commerce United States Technology Management Graduate Program Texas A and M University Commerce United States

The industrial engineering (IE) program at the authors' university receives continued feedback from industry, the IE program Industry Advisory Board (IAB), and student evaluations. This feedback indicated the program needed to provide the senior-level students with a more realistic industry experience. Currently, the IE internship course, IE 471, and industrial systems Design (IE capstone course), IE 495, are in the IE program curriculum to introduce and provide the senior engineering student an insight into the industrial world. These two courses were evaluated according to the continuous improvement plan for the Accreditation Board for engineering and Technology (ABET) and changes were recommended. The IE 471 Internship is offered to give students an occupational experience in an industrial facility. Students and faculty have experienced several disappointing obstacles in executing this IE 471 internship course, including students being unable to convince industry to hire them for an internship course. The students in the authors' IE program are generally nontraditional students. They are generally older students with family and other responsibilities in addition to their education goals. They are generally working 40 hours per week to support the family and meeting a full-time student curriculum. These students are reluctant to give up their current employment and to work for one semester as an intern. These internships are at minimum wage without benefits for the student and his/her family. The student's current job may not be available when he/she returns after the internship. The disappointments the faculty experience stem from students requesting the faculty advisor to consider using their current job responsibilities as their internship. For example, the student may be working as a sales clerk at a cell phone retail store. This position would have no engineering problems or experience. This paper focuses on the development and implementation of a replacement

关键词： Students

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Cultural differential evolution approach to optimize the economic dispatch of electrical energy using thermal generators

Cultural differential evolution approach to optimize the eco...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Leandro dos Santos Coelho Adriano Del Vigna de Almeida Viviana Cocco Mariani Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Parana Brazil Mechanical Engineering Program Pontifical Catholic University of Paraná Curitiba Parana Brazil

Differential evolution (DE) is a powerful population-based algorithm of evolutionary computation field designed for solving global optimization problems. The potentialities of DE are its simple structure, easy use, convergence speed and robustness. However, the control parameters and learning strategies involved in DE are highly dependent on the problems under consideration. Choosing suitable parameter values requires also previous experience of the user. Despite its crucial importance, there is no consistent methodology for determining the control parameters of a DE. In this paper, different DE approaches combined with a cultural algorithm technique based on normative and situational knowledge are proposed as alternative methods to solving the economic load dispatch problem of thermal generators with valve-point effect. The DE approaches are validated for a test system consisting of 13 thermal generators whose nonsmooth fuel cost function takes into account the valve-point loading effects. Numerical results indicate that performance of the cultural DE present best results when compared with previous optimization approaches in solving load dispatch problems with the valve-point effect.

关键词： Cultural differences Optimization Evolution (biology) Generators Economics Mathematical model Evolutionary computation

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Design-dimensioning model for grid-connected photovoltaic systems

Design-dimensioning model for grid-connected photovoltaic sy...

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2009 IEEE Electrical Power and Energy Conference, EPEC 2009

作者： Hernandez, Johann Diaz, Nelson L. Gordillo, Gerardo Universiudad Nacional de Colombia Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering - Industrial Automation Universidad Nacional de Colombia Bogota Colombia Universidad Nacional Bogota Colombia

ISBN: (纸本)9781424445080

The main goal in design of grid connected photo voltaic systems is to maximize the energy generation based on local energy requirements, weather conditions, economic and social impact. These factors ought to be taken into account to perform a model that allow design grid-connected photo voltaic systems. In this paper a design-dimensioning model for a small grid-connected photo voltaic systems is developed. This model is based on energy conditions instead of power conditions. There are shown the two main trends that are typically used in the design process and the calculation of the two main components of the system (generator and inverter). An example of the design for a system located in Bogota-Colombia is studied. ©2009 IEEE.

关键词： Design

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