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Model mismatch in multi-objective optimisation and preservation of trade-off order. ⁎

IFAC-PapersOnLine 2019年第26期52卷 249-254页

作者： Gilberto Reynoso-Meza Alejandro Vignoni Yadira Boada Jesüs Picü Enric Picü Industrial and Systems Engineering Graduate Program - PPGEPS. Polytechnic School. Pontifcia Universidade Catülica do Paraná PUCPR. Rua Imaculada Conceição 1155 Zip code 80215-901 Curitiba PR Brazil Synthetic Biology and Biosystems Control Lab I.U. de Automática e Informática Industrial (ai2) Universitat Politècnica de Valencia 46022 Camino de Vera S/N Valencia Spain

Multi-objective optimisation is a valuable tool for tuning dynamical systems when simultaneous optimisation performance objectives are in conflict. When the goal is tuning the parameters of a synthetic biology device, mismatch between the model implemented in silico -a more or less coarse simplification of the real system- and the actual in vivo implementation might lead to a disagreement between the in silico and in vivo design objectives for a given solution from the Pareto front. Here, we propose an iterative closed-loop multi-objective optimisation approach where the new information provided by the difference between the in silico Pareto front and its in vivo implementation is used to improve the parametric model. This aims to minimise the discrepancies between in silico and in vivo performance objectives while preserving the trade-off order among solutions. As a proof-of-concept we consider the problem of tuning a synthetic gene circuit used as feedforward-feedback controller for the expression of a protein of interest. We use an extended parametric model of the gene synthetic circuit to represent the in vivo set up and a simplified one for the in silico one.

关键词： Multi-objective optimisation model mismatch synthetic biology synthetic gene circuit

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Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades

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Geography and Sustainability 2020年第1期1卷 47-58页

作者： Anping Chen Rongyun Tang Jiafu Mao Chao Yue Xiran Li Mengdi Gao Xiaoying Shi Mingzhou Jin Daniel Ricciuto Sam Rabin Phillippe Ciais Shilong Piao Department of Biology Colorado State UniversityFort CollinsCO 80523USA Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Department of Industrial and Systems Engineering University of TennesseeKnoxvilleTN 37996USA Environmental Sciences Division and Climate Change Science Institute Oak Ridge National LaboratoryOak RidgeTN 37831USA State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest Agriculture&Forestry UniversityYanglingShanxi 712100China College of Urban and Environmental Sciences Central China Normal UniversityWuhanHubei 430079China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China Atmospheric Environmental Research(IMK-IFU) Institute of Meteorology and Climate ResearchKarlsruhe Institute of Technology(KIT)Kreuzeckbahnstraße 19Garmisch-Partenkirchen 82467Germany LSCE UMR CEA-CNRSBat.709CEL’Orme des MerisiersGif-sur-Yvette 91191France

Fire is a major type of disturbance that has important influences on ecosystem dynamics and carbon *** our understanding of ecosystem fires and their carbon cycle consequences is still limited,largely due to the difficulty of large-scale fire monitoring and the complex interactions between fire,vegetation,climate,and anthropogenic ***,using data from satellite-derived fire observations and ecosystem model simulations,we performed a comprehensive investigation of the spatial and temporal dynamics of China’s ecosystem fire disturbances and their carbon emissions over the past two decades(1997–2016).Satellite-derived results showed that on average about 3.47-4.53×10^(4) km^(2) of the land was burned annually during the past two decades,among which annual burned forest area was about 0.81-1.25×10^(4) km^(2),accounting for 0.33-0.51%of the forest area in *** burning emitted about 23.02 TgC per *** to satellite products,simulations from the Energy Exascale Earth System Land Model(ELM)strongly overestimated China’s burned area and fire-induced carbon *** burned area and fire-induced carbon emissions were high for boreal forest in Northeast China’s Daxing’anling region and subtropical dry forest in South Yunnan,as revealed by both the satellite product and the model *** results suggest that climate and anthropogenic factors play critical roles in controlling the spatial and seasonal distribution of China’s ecosystem fire *** findings highlight the importance of multiple complementary approaches in assessing ecosystem fire disturbance and its carbon *** studies are required to improve the methods of observing and modelling China’s ecosystem fire disturbances,which will provide valuable information for fire management and ecosystem sustainability in an era when both human activities and the natural environment are rapidly changing.

关键词： Fire emission Burned area Fire models China

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The Application of Reference Ontologies for Semantic Interoperability in an Integrated Product Development Process in Smart Factories

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Procedia Manufacturing 2017年 11卷 1375-1384页

作者： Szejka, Anderson Luis Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceição 1155 Curitiba 80215-901 Paraná Brazil

Efficient information sharing demands formal information structures in order to make sure the semantic interoperability across different phases of Product Development Process. This research presents an application of reference ontologies to support semantic interoperability during the Product Development Process. The concepts inherent to the product development process are formalized in reference ontologies and these ontologies are specialized according to the specific product data, respecting semantic rules. As a result, the potential benefits and limitations of the ontology-driven interoperability were discussed, contributing to the semantic interoperability field and improving the product and manufacturing design. © 2017 The Authors

关键词： Decision-Making support Integrated Product Development Process Multiple Domains Ontology Semantic Interoperability Smart Factories

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Studying operations strategy through cause and effect correlation 24

Studying operations strategy through cause and effect correl...

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24th International Conference on Production Research, ICPR 2017

作者： Okoshi, C.Y. de Lima, E. Pinheiro da Costa, S.E. Gouvêa Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Rua Imaculada Conceição 1155 Prado Velho Curitiba Parana Brazil Industrial and Systems Engineering Graduate Program Federal University of Technology - Parana Via do Conhecimento km 1 Pato Branco Parana Brazil

ISBN: (纸本)9781605955070

The companies use the performance results to identify their main problems and to analyse the cause roots in their production systems, supplier network and process technology. The purpose of this paper is to analyze cause and effect relationships among the performance dimensions and decision areas in the framework of operations strategy. The explored dataset is a research project named 4th Round of High Performance Manufacturing Project. The dataset holds indicators from 304 manufacturing companies in 13 countries. The techniques used for the analysis were descriptive statistics, normality test, factor analysis, and Multiple Linear Regression. As main results, the following cause and effect correlations for each manufacture performance dimension were found: innovation, flexibility, quality, cost, speed, and reliability. The results support the building of cause and effect diagrams regarding performance dimensions and decision areas to be used on improvements to the companies. © 2017 DEStech Publications. All rights reserved.

关键词： Manufacture

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Extreme gradient boosting approach with differential evolution tuning applied on service time prediction of fire events 9th

Extreme gradient boosting approach with differential evoluti...

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9th International Joint Conference on Computational Intelligence, IJCCI 2017

作者： Boaretto, Marco A. R. Busatto, Rafael Commim Dos S Coelho, Leandro Federal University of Parana Electrical Engineering Graduate Program Curitiba Brazil Pontifical Catholic University of Parana Industrial and Systems Eng. Grad. Program Curitiba Brazil

ISBN: (纸本)9789897582745

The problems related with urban fires brings destruction, casualties and economic issues to the country. On aiming to decrease the risk specially on populous areas, the development of classification and/or forecasting systems are needed to detect these events. This paper presents a new case of study related with fire incidents to create a predictor with a machine learning technique allied with an optimization technique. Differential evolution (DE) is a population-based stochastic search evolutionary algorithm applied to nonlinear, nondifferentiable, and continuous space functions. It has shown good performance on a wide range of benchmark problems as well as many real-world applications. Extreme Gradient boosting machine (XGBoost) is an efficient boosting technique that is getting a lot of attention because of its success on winning several of competitions hosted by the site Kaggle. However, XGBoost's hyper-parameters tuning process demands a high effort and computational time, hence the application of an optimization technique as DE. In this context, DE showed to be an efficient and robust optimization tool, presenting good and stable results on the adopted tests. Along with the XGBoost hyper-parameter tuning optimized approach, this paper presents a novel database from service times of real fire incidents of the years 2013 and 2014 that were gathered with the Fire Department of the state of Paraná on the city of Curitiba in Brazil (FDPRC). The regression results could contribute with FDPRC, to speed up the location reckoning process of the fire incidents, improving the answering time of the calling. Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Evolutionary algorithms

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Retracted: Sylabus and Matrials Design for Vocational Student and Its Dissemination Using Website

Retracted: Sylabus and Matrials Design for Vocational Studen...

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2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, Computer Science, Information systems, and Information Technology, WMA-Mathcomtech 2018

作者： Harahap, Astro Julida Ongko, Erianto Manurung, Hotler Kurnia, Dian Hartono, H. Abdullah, Dahlan Erliana, Cut Ita Djanggih, Hardianto Saddhono, Kundharu Rianita, Dian Setiawan, Muhammad Ikhsan Setiawan, Yuliyanto Budi Manurung, Rosida Tiurma Sriadhi, S. Sinurat, Mangasi Siregar, Aisyah Soni Hutauruk, Rapat Piter Sibarani, Nico Benjamain Department of Informatics Akademi Teknologi Industri Immanuel Medan Indonesia Department of Computer Systems Universitas Pancabudi Medan Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Law Universitas Tompotika Luwuk Banggai Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Department of Administration University of Lancang Kuning Pekanbaru Indonesia Department of Civil Engineering Narotama University Surabaya Indonesia Study Program of Communication Studies Universitas Semarang Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia STIE Bina Karya Tebing Tinggi Indonesia

The learners' needs are an important factor in designing syllabus and materials design, this research deals with the syllabus and material design based on the professional's needs. It is expected that the syllabus and materials designes are communicatively applicable to the professional academy. Descriptive method is applied in this research. The sample of this research is 30 students of ATII Immanuel Academy Medan. They were selected by random sampling to get the data, the questioners were administered to students. the questioners consisted of 54 items and the semi structured interview consisted of 5 questions, the finding indicated that learners' needs were focused on reading and speaking skills. With reference appropriately and proportionally derived for students of the Professional Academy. Further on the basis of the syllabus, materials are designed in which the skills of using language become a priority. The results of this research will be disseminated using the website. © Published under licence by IOP Publishing Ltd.

关键词： Information systems

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Willingness to pay for flood insurance: a case study in Phang Khon, Sakon Nakhon Province, Thailand

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IOP Conference Series: Earth and Environmental Science 2020年第1期612卷

作者： S Paopid J Tang N Leelawat Risk and Disaster Management Program Graduate School Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand International School of Engineering Faculty of Engineering Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand Disaster and Risk Management Information Systems Research Group Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand

Long droughts and floods can reduce agricultural productivity and negatively impact upon businesses in the agriculture and food industries. The prevention and response to floods require both public and private efforts (e.g., 'Pay for Flood' insurance) for utmost effectiveness. The purpose of this study was to determine the potential factors that influence the people of Phang Khon District, near the Nam Un Dam, in paying flood insurance. The regression results showed that the height and duration of flooding, house price, and flood damage, were all key factors that triggered the willingness to pay flood insurance. In contrast, having a house with stairs decreased the likelihood of paying insurance. Our research suggested that 12.69 -19.04 USD/month is a commonly accepted flood insurance premium in Thailand. These findings can guide governments and insurance providers and companies towards improving their flood insurance practices.

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Performance Management systems for Project Management Offices: A Case-Based Study

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Procedia Manufacturing 2019年 39卷 923-931页

作者： Rafael Duarte Fernando Deschamps Edson Pinheiro de Lima André Pepino Rene Marcel Guzman Clavijo Universidade Positivo R. Prof. Pedro Viriato Parigot de Souza 5300 Curitiba - PR 81280-330 Brazil Industrial and Systems Engineering Graduate Program (PPGEPS) – Pontifical Catholic University of Parana (PUCPR) R. Imac. Conceição 1155 Curitiba - PR 80215-901 Brazil Department of Mechanical Engineering (DEMEC) Federal University of Parana (UFPR) Av. Cel. Francisco H. dos Santos 230 - Centro Politécnico Bloco IV Curitiba - PR 81530-000 Brazil Federal University of Technology – Parana (UTFPR)

Project Management Offices (PMOs) are organizational structures in charge of managing and coordinating several simultaneous projects within companies. Due to the complexity of different projects’ objectives, it’s usual to simplify project indicators and control them by means of the well-known triple constraint or “iron triangle”: scope, cost and time. This approach does not account for the organizational strategy, internal and external stakeholders’ interests, nor other specific indicators. The problems due to the lack of integration caused by this oversimplification are yet amplified in complex project portfolios related to technology development and deployment, since in this kind of scenario the marketing competition demands new features, at lower costs, in no time. These points could be addressed by operations management approaches, such as the Performance Management systems Design Framework (PMSDF). To identify the viability and relevance in using this method in PMOs, this work adopts a mixed methods research. Is begins with a Systematic Literature Review to better understand performance management routine and tools in PMO. It was followed by meetings with two project management consultants, to identify the best practices, habits and advises, to check the differences between practitioner and academic views. Finally, it was conducted interviews with the PMO Director of a trucks’ manufacturer and a PMO Manager in an agrarian-cattle-breeding cooperative, to verify how such companies measure their PMO’s successes. The last step was to adapt the PMSDF to the project management context, evaluating the PMO operation in a medium-sized software development company and propose the restructuration of its Performance Management System.

关键词： PMS PMO KPI Operations Strategy PMSDF

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Multi-Objective Model Selection for Unmanned Aerial Vehicles Automatic Target Recognition systems

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IFAC-PapersOnLine 2017年第1期50卷 11607-11612页

作者： Alves Ribeiro V.H. Reynoso-Meza G. dos Santos Coelho L. Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) Curitiba Brazil Department of Electrical Engineering (PPGEE) Federal University of Parana (UFPR) Polytechnic Center Curitiba Parana Brazil

Within unmanned aerial vehicles on-going research topics, automatic target recognition is acquiring relevance. This is due to the easiness with which it is possible to acquire such devices. In order to do this, signal processing and classification techniques could be adopted. Also, in order to improve the classification ratio, optimization techniques could be used. This subject is object of study for many researchers, but the authors worry about the lack of information while using single-objective optimization techniques. The proposed work comprises the application of multi-objective optimization design in order to create an automatic target recognition system to discriminate different types of unmanned aerial vehicles. In order to accomplish this, a K-band radar system is used to send and receive electromagnetic signals, which are then processed with feature extraction techniques, and finally, applied on an artificial neural network system. In order to improve the system's classification ratio, the classifier is defined as a multi-objective problem, and evolutionary multi-objective optimization techniques are applied. Finally, in order to select the best possible trade-off, the level diagrams multi-criteria decision making methodology is used to compare different solutions. © 2017

关键词： Artificial neural networks Classifiers Electromagnetic signals Genetic algorithms Multi-objective optimization Optimization Signal processing

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The performance measurement in nonprofit organizations - A case study 67

The performance measurement in nonprofit organizations - A c...

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67th Annual Conference and Expo of the Institute of industrial Engineers 2017

作者： Moura, Louisi Francis De Lima, Edson Pinheiro Van Aken, Eileen Deschamps, Fernando Treinta, Fernanda Tavares Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil Grado Department of Industrial and Systems Engineering Virginia Tech Blacksburg United States

ISBN: (纸本)9780983762461

Nonprofit organizations have specific and complex characteristics that influence their performance measurement and differentiate it from others business models. So, it is important to know what are the factors, as motivations, barriers, and drivers, that influence the design of a performance measurement system to develop a complete system with all organizational issues, as social aspects, accountability, and legitimacy. A systematic literature review was previously performed and a set of factors that influence the design of performance measurement system for nonprofit organizations were identified. This paper presents a case study conducted in a Fire Department in the United States with the purpose investigate the set of factors in the practice. The data were collected using four techniques: interviews, documents and archival records, and observation. The findings show that the influence of the factors can vary depending on the type of organization and the paper indicates some reasons for that. Therefore, understanding the organization and these factors is a challenge for the performance measurement area to provide tools and frameworks that contribute to the organizational management and research area advance.

关键词： Social aspects

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